Tonone 公司技能
协调创始人的工程、产品、运营与专业团队流程。
Tonone 完整插件将专业 Agent 与工程、法律、设计、数据、安全、开发者体验、基础设施和 AI 运营流程结合。
适用场景
- 通过专业角色交接规划产品
- 开展基础设施、安全与运营审查
使用方法
安装完整 Tonone 插件并向负责人提出目标，选择建议的深度和预算；Codex 可直接读取相同根技能流程。
Skills
apex-diagnose
Session postmortem from local transcripts — why a run repeated work, ignored the plan, took too long, or cost more than expected. Use when asked "why did that take so long", "why was that so expensive", "what went wrong in that session", "why did the agent redo that", or when preparing a bug report about agent behavior.
tonone-ai/tononeapex-gate
Inspect and tune the skill-manifest gate — which of the 421 tonone skills keep their description in this project's context, and what that costs in tokens. Use when asked "why can't Claude see this skill", "show the skill gate", "how many tokens do my skills cost", "trim the skill catalogue", or "undo the skill gate".
tonone-ai/tononeapex-plan
Plan and scope a project — discovery, challenge assumptions, present XS-XXL depth options with token and cost estimates. Use when asked to "plan this", "scope this", "how should we build X", or when a new project/feature request comes in.
tonone-ai/tononeapex-profile
Scope the tonone agent roster for this project — install a curated subset of agents instead of the full 100-agent bundle. Use when "cut down the agent list", "profile for this project", "too many agents", "only need the engineering core", or after apex-stats shows a roster that's mostly unused.
tonone-ai/tononeapex-recon
Engineering lead reconnaissance — inventory the project before planning. Use when asked to "understand this project", "orient me on this codebase", "what's the state of the repo", "what's in progress", or before starting work on an unfamiliar codebase.
tonone-ai/tononeapex-review
Cross-cutting review of recent work — catches gaps between specialists. Use when asked to "review what we built", "check the work", "pre-launch review", or after completing a significant chunk of work.
tonone-ai/tononeapex-route
Reach ANY tonone specialist on demand, even ones not installed in this session's roster — no restart needed. Use when asked "which agent handles this", "reach a specialist we didn't install", "route this to the right agent", or whenever a scoped apex-profile roster is missing the right hat for the job.
tonone-ai/tononeapex-stats
Spawn-count analytics for the tonone roster — which agents this project actually uses, from local session transcripts. Use when "which agents do we actually use", "show tonone stats", "prune the roster", or before running apex-profile.
tonone-ai/tononeapex-status
CTO-level project status from git and codebase state. Use when asked "where are we", "project status", "what's done", or at the start of a work session.
tonone-ai/tononeapex-takeover
System takeover — take ownership of an existing codebase or inherited system. Use when "we acquired this", "previous team left", "take over this system", "inherited this codebase".
tonone-ai/tononeapex
Engineering lead — hand Apex any task and it routes internally. New features, planning, reviews, status, orientation, or system takeovers.
tonone-ai/tononeatlas-adr
Write an Architecture Decision Record — document what was decided, why, what alternatives were considered, and what trade-offs were accepted. Use when asked to "write an ADR", "document this decision", or "why did we choose X".
tonone-ai/tononeatlas-changelog
Maintain per-repo and cross-repo changelogs — append structured entries after agent work. Use when asked to "log this change", "update changelog", "what changed", "change history".
tonone-ai/tononeatlas-map
Map the system architecture — read the codebase, identify services and connections, output a C4-level architecture map as Mermaid diagrams with component descriptions. Use when asked to "map the architecture", "system diagram", "how does this work", or "architecture overview".
tonone-ai/tononeatlas-onboard
Generate onboarding documentation — what this project does, how to set up locally, where things live, key decisions, how to deploy. Written for day-one engineers who know nothing. Use when asked for "onboarding docs", "new engineer guide", "how to get started", or "developer setup".
tonone-ai/tononeatlas-present
Generate a polished HTML presentation page and Obsidian Canvas for big releases — new products, takeovers, major migrations. Non-technical audience. Use when asked to "present this", "release announcement", "show what we built", or "stakeholder update".
tonone-ai/tononeatlas-recon
Documentation reconnaissance for takeover — find all docs, assess accuracy, freshness, coverage, and discoverability, and identify critical knowledge gaps. Use when asked "what docs exist", "documentation assessment", or "knowledge gaps".
tonone-ai/tononeatlas-report
Render agent findings as a styled HTML report in the browser. Use when asked for "full report", "detailed report", "show in browser", or when CLI output exceeds the 40-line budget.
tonone-ai/tononeatlas
Knowledge engineer — architecture docs, ADRs, diagrams, changelogs, onboarding, and reports. Use when asked to "write an ADR", "map the architecture", "document this decision", "onboarding docs", or "what changed".
tonone-ai/tononeaudit-controls
Internal legal controls review — approval workflows, contract lifecycle, access to sensitive docs. Use when asked to "audit our controls", "review approval workflows", or "who can access sensitive contracts".
tonone-ai/tononeaudit-legal
Full legal compliance audit — contracts, policies, regulatory, IP, corporate hygiene. Use when asked to "run a legal audit", "are we legally compliant", or "full compliance review".
tonone-ai/tononeaudit-recon
Survey legal artifacts for audit readiness. Use when asked "are we audit ready", "what legal artifacts exist", or "survey our legal docs".
tonone-ai/tononeaxe-audit
Run a WCAG accessibility audit against a component, page, or full product. Use when asked to "run an accessibility audit", "is this WCAG compliant", or "check a11y on this page".
tonone-ai/tononeaxe-fix
Write accessibility fixes for specific WCAG failures — ARIA, focus management, keyboard patterns. Use when asked to "fix this accessibility issue", "add ARIA labels", or "make this keyboard navigable".
tonone-ai/tononeaxe-recon
Survey a codebase for accessibility debt — missing ARIA, broken keyboard patterns, and contrast issues. Use when asked "how accessible is our codebase", "find accessibility debt", or "where are our a11y gaps".
tonone-ai/tononebench-compare
Compare API performance across versions — regression detection and root cause analysis. Use when asked "did performance regress", "compare API latency across versions", or "why is this slower".
tonone-ai/tononebench-profile
Design a performance benchmark for an API — test scenarios, metrics, and tooling. Use when asked to "benchmark this API", "design a load test", or "measure throughput".
tonone-ai/tononebench-recon
Audit existing performance testing — find missing benchmarks, stale baselines, and CI gaps. Use when asked "do we have benchmarks", "audit our performance testing", or "are our baselines stale".
tonone-ai/tononebind-gap
Run a compliance gap analysis against SOC2, GDPR, HIPAA, or ISO 27001. Use when asked "are we SOC2 ready", "run a GDPR gap analysis", or "what is missing for ISO 27001".
tonone-ai/tononebind-policy
Draft compliance policies required by a framework (access control, incident response, data retention). Use when asked to "write an access control policy", "draft our incident response policy", or "we need a data retention policy".
tonone-ai/tononebind-recon
Survey existing compliance artifacts — policies, audits, certifications. Use when asked "what compliance docs do we have", "survey our policies", or "inventory our compliance artifacts".
tonone-ai/tononeblue-detect
Design detection rules for a threat — SIEM queries, alert logic, and MITRE ATT&CK mapping. Use when asked to "write a detection rule", "how do we detect this attack", or "build a SIEM query for this TTP".
tonone-ai/tononeblue-harden
Write a hardening playbook for a system or service — CIS benchmark mapping and implementation steps. Use when asked to "harden this server", "apply the CIS benchmark", or "write a hardening playbook".
tonone-ai/tononeblue-recon
Audit existing security controls and detection coverage — find gaps against MITRE ATT&CK. Use when asked to "audit our detection coverage", "where are our security control gaps", or "check our MITRE coverage".
tonone-ai/tononebrace-escalate
Design escalation path -- Tier 1 to Tier 2 to Engineering handoff, decision criteria, and communication templates. Use when asked to "design our escalation process", "when should support escalate to engineering", "build an escalation runbook", or "reduce escalation rate".
tonone-ai/tononebrace-kb
Build or audit knowledge base -- article structure, coverage gaps, deflection rate, and maintenance process. Use when asked to "build a knowledge base", "what docs are missing", "improve our self-serve rate", or "audit our help center".
tonone-ai/tononebrace-metrics
Design support metrics dashboard -- CSAT, FRT, TTR, ticket deflection rate, volume trends, and agent efficiency. Use when asked to "what metrics should support track", "build our support dashboard", "measure support quality", or "audit our support performance".
tonone-ai/tononebrace-onboard
Design customer support onboarding flow -- first-contact experience, proactive support touchpoints, and setup success checklist. Use when asked to "design our onboarding support", "how do we support new customers during onboarding", or "reduce early churn from setup failures".
tonone-ai/tononebrace-playbook
Write support playbook -- response templates, issue-type runbooks, tone guide, and common resolution paths. Use when asked to "write support templates", "build a support playbook", "train our support agents", or "standardize our support responses".
tonone-ai/tononebrace-recon
Support operations reconnaissance -- audit current ticket volume, SLA compliance, knowledge base coverage, escalation paths, and CSAT to understand where support is the constraint. Use when asked to "audit our support", "why is our response time bad", "how healthy is our support operation", or "before designing a support system".
tonone-ai/tononebrace-sla
Design SLA framework -- response time targets, resolution time targets, tier definitions, and breach escalation process. Use when asked to "define our SLAs", "what response times should we commit to", "build a support tier structure", or "set up SLA monitoring".
tonone-ai/tononebrace-triage
Design ticket triage system -- routing rules, priority tags, queue structure, and first-response automation. Use when asked to "design our ticket routing", "how should we tag tickets", "set up our helpdesk", or "reduce time to first response".
tonone-ai/tononebrief-draft
Draft a contract or policy document from a description or template. Use when asked to "draft an NDA", "write an MSA", or "we need a vendor contract".
tonone-ai/tononebrief-recon
Survey the project's existing contracts and policy docs. Use when asked "what contracts do we have", "survey our policy docs", or "inventory our agreements".
tonone-ai/tononebrief-review
Review and redline a contract — flag risk, missing clauses, one-sided terms. Use when asked to "review this contract", "redline this agreement", or "is this contract risky".
tonone-ai/tononebudget-audit
Audit AI spend — per-model cost breakdown, top consumers, waste identification, optimization levers. Use when asked "why is our AI bill so high", "audit LLM spend", or "where is our token waste".
tonone-ai/tononebudget-optimize
Design cost reduction strategies — model tiering, prompt compression, caching, batch inference. Use when asked to "reduce our AI costs", "set up model tiering", or "cut LLM spend".
tonone-ai/tononebudget-recon
Map AI cost topology — billing attribution, team-level spend, forecast vs actuals, alert gaps. Use when asked to "map our AI spend", "who is spending on LLMs", or "set up AI cost attribution".
tonone-ai/tononebuzz-community
Build and manage open source community — Discord/Slack structure, contributor onboarding, ambassador program, community flywheel design, and GitHub community health. Use when asked to "build a community", "grow our Discord", "improve contributor experience", or "design a developer ambassador program".
tonone-ai/tononebuzz-devrel
Developer relations playbook builder — produces a DevRel program design covering community platform, contributor program tiers, ambassador criteria, event strategy, and success metrics. Use when asked to "build a DevRel program", "design our developer community", "create a contributor program", "start a developer advocacy program", or "how do we grow our dev community".
tonone-ai/tononebuzz-hn
Hacker News post crafter — given a product, feature, or story produces a ready-to-post HN submission (title ≤80 chars, no marketing), honest body text with technical depth, no outbound links, predicted reception analysis, and comment-response templates for likely pushback. Use when asked to "write an HN post", "craft a Show HN", "prepare our Hacker News launch", or "help me post on HN".
tonone-ai/tononebuzz-launch
Design and execute a launch plan — Product Hunt, HN Show HN, newsletter coordination, social posts, and community launch moment. Use when asked to "launch [feature/product]", "plan a launch", "help us do a Product Hunt launch", or "coordinate the announcement".
tonone-ai/tononebuzz-outreach
Media and podcast outreach personalizer — takes a story angle and target journalist or host list and produces personalized pitch emails per target. Use when asked to "write media pitches", "pitch this story to journalists", "get us on podcasts", "write press outreach", or "personalize pitches for these contacts".
tonone-ai/tononebuzz-pitch
Write media pitches and press releases — journalist outreach emails, podcast pitch scripts, newsletter sponsor pitches, and press release copy. Use when asked to "pitch journalists", "write a press release", "reach out to podcasts", or "get media coverage".
tonone-ai/tononebuzz-recon
PR and community reconnaissance — audit current press coverage, social presence, community health, and competitor PR. Use when asked to "audit our PR", "what's our community state", "how do we compare in press", or before planning a launch or community initiative.
tonone-ai/tononebuzz-social
Social media strategy and post drafting — HN posts, Twitter/X threads, LinkedIn posts, Reddit comments, and developer community content. Use when asked to "write a HN post", "draft social posts", "help us post on Twitter", or "create a social launch plan".
tonone-ai/tononebuzz
PR & Community engineer — press pitches, social media, open source community, DevRel, and coordinated launch moments. Use when asked to "write a press release", "plan a launch", "build a community", "draft a HN or Twitter post", or "get media coverage".
tonone-ai/tononecache-design
Design a caching strategy for an application — pattern selection, key design, TTL, and eviction policy. Use when asked to "add caching to this", "design a cache strategy", or "what should we cache".
tonone-ai/tononecache-evict
Design a cache invalidation and eviction strategy — event-driven invalidation and thundering herd prevention. Use when asked to "design cache invalidation", "fix stale cache data", or "prevent a thundering herd".
tonone-ai/tononecache-recon
Audit existing caching implementation — find cache misses, stampedes, and key design issues. Use when asked to "audit our caching", "why is our hit rate low", or "find cache stampedes".
tonone-ai/tononecast-forecast
Build a forecasting model for a time series — demand, revenue, or usage prediction. Use when asked to "forecast demand", "predict next quarter revenue", or "build a time series model".
tonone-ai/tononecast-recon
Survey existing forecasting code or models in a codebase — find gaps, stale models, and missing validation. Use when asked "what forecasting models do we have", "audit our forecasts", or "find stale models".
tonone-ai/tononecast-validate
Validate and benchmark a forecasting model — walk-forward CV, error metrics, baseline comparison. Use when asked "is this forecast any good", "validate a forecasting model", or "backtest the forecast".
tonone-ai/tononechain-recon
Audit existing dependency security — find unscanned packages, license violations, and SBOM gaps. Use when asked to "audit our dependencies", "do we have an SBOM", or "find license violations".
tonone-ai/tononechain-sbom
Design an SBOM generation pipeline — format, tooling, and integration into CI/CD. Use when asked to "generate an SBOM", "build an SBOM pipeline", or "add CycloneDX to CI".
tonone-ai/tononechain-scan
Design a dependency scanning program — CVE detection, license checks, and CI gates. Use when asked to "scan our dependencies", "set up CVE detection", or "add a dependency CI gate".
tonone-ai/tononechange-policy
Design an API versioning and deprecation policy — semver rules, sunset timelines, and communication channels. Use when asked to "design a deprecation policy", "how should we version the API", or "set a sunset timeline".
tonone-ai/tononechange-recon
Audit existing changelog and deprecation practices — find missing entries, undocumented breaks, and stale deprecations. Use when asked to "audit our changelog", "find undocumented breaking changes", or "check for stale deprecations".
tonone-ai/tononechange-write
Write a changelog entry or release notes for an API version — breaking changes, new features, fixes. Use when asked to "write release notes", "add a changelog entry", or "document breaking changes".
tonone-ai/tononechaos-design
Design a chaos engineering experiment — hypothesis, blast radius, steady state, and abort conditions. Use when asked to "design a chaos experiment", "inject a failure", or "test the resilience of this service".
tonone-ai/tononechaos-game
Design a game day — simulated failure scenario, runbook, and post-event review. Use when asked to "run a game day", "plan a failure drill", or "simulate an outage".
tonone-ai/tononechaos-recon
Audit existing resilience — identify untested failure modes and chaos engineering gaps. Use when asked "how resilient are we", "what failure modes are untested", or "find our chaos engineering gaps".
tonone-ai/tononecite-compare
Jurisdiction comparison for a legal requirement or contract clause. Use when asked "how does this differ by jurisdiction", "compare GDPR and CCPA on this", or "run a state law comparison".
tonone-ai/tononecite-recon
Survey open legal questions and research gaps in the project. Use when asked "what legal questions are open", "where are our research gaps", or "list unresolved legal issues".
tonone-ai/tononecite-research
Legal research on a specific question — case law, statutes, regulatory guidance. Use when asked to "research this legal question", "what does case law say", or "find the relevant statute".
tonone-ai/tononeclause-analyze
Deep clause-by-clause analysis of a contract with risk scores. Use when asked to "analyze this contract clause by clause", "score the risk in this agreement", or "what is dangerous in this contract".
tonone-ai/tononeclause-playbook
Generate negotiation playbook for a specific contract type. Use when asked to "build a negotiation playbook", "how do we negotiate this clause", or "what are our fallback positions".
tonone-ai/tononeclause-recon
Survey existing contracts for common clause patterns and risks. Use when asked "what clause patterns do our contracts use", "survey contract risk", or "find common terms across our contracts".
tonone-ai/tononeclean-recon
Audit existing data cleaning code — find missing validation, silent data loss, and quality gaps. Use when asked to "audit our data cleaning", "are we losing data silently", or "find data quality gaps".
tonone-ai/tononeclean-transform
Design a data cleaning and transformation pipeline — missing values, outliers, and deduplication. Use when asked to "clean this dataset", "handle missing values", or "deduplicate this data".
tonone-ai/tononeclean-validate
Design a data validation pipeline — schema checks, range validation, and quality metrics. Use when asked to "validate incoming data", "add schema checks", or "define data quality metrics".
tonone-ai/tononecompat-audit
Audit a proposed API change for breaking changes — classification and impact assessment. Use when asked "is this a breaking change", "will this break clients", or "assess the impact of this API change".
tonone-ai/tononecompat-policy
Design an API compatibility and deprecation policy — stability tiers, sunset timelines, and CI gates. Use when asked to "define an API stability policy", "set our deprecation timeline", or "write semver rules".
tonone-ai/tononecompat-recon
Audit existing API for breaking change risks and missing compatibility controls. Use when asked to "find breaking change risks in our API", "audit our compatibility controls", or "what could break clients".
tonone-ai/tononecopy-audit
Audit UX copy in a product or codebase — find passive errors, generic labels, missing states. Use when asked to "audit our UX copy", "our error messages are bad", or "review the microcopy".
tonone-ai/tononecopy-recon
Survey all user-facing strings in a codebase — map coverage and find gaps. Use when asked "what user-facing strings do we have", "map our copy coverage", or "find hardcoded strings".
tonone-ai/tononecopy-write
Write UX copy for a feature, flow, or component — buttons, errors, empty states, tooltips. Use when asked to "write the copy for this flow", "word this error message", or "write empty state copy".
tonone-ai/tononecortex-eval
Evaluate model performance — check for accuracy drops, data drift, and error patterns. Use when asked about "model accuracy dropped", "evaluate the model", "check for drift", or "model performance".
tonone-ai/tononecortex-integrate
Design and implement an AI feature integration — model selection, architecture pattern, system prompt, data flow, error handling, cost estimate. Use when asked to "add AI to this", "LLM integration", "add Claude/GPT", or "AI-powered feature".
tonone-ai/tononecortex-model
Build an ML pipeline — from data to trained model to serving endpoint. Use when asked to "build ML model", "train a model", "prediction pipeline", "classification", or "regression".
tonone-ai/tononecortex-prompt
Build a production-ready prompt package — system prompt, few-shot examples, output format, edge case handling, eval criteria. Use when asked to "prompt engineering", "build a prompt", "write a system prompt", or "improve this prompt".
tonone-ai/tononecortex-recon
ML reconnaissance — inventory all models, pipelines, data sources, and monitoring. Use when asked "what ML do we have", "model inventory", or "ML assessment".
tonone-ai/tononecortex
ML/AI engineer — LLM integrations, prompt engineering, model pipelines, evals, RAG. Use when asked to "add AI to this", "integrate an LLM", "build a RAG pipeline", "evaluate model accuracy", or "improve this prompt".
tonone-ai/tononecrest-compete
Competitive analysis ending in a clear positioning call — where to play, how to win. Use when asked to "analyze competitors", "competitive landscape", "how do we compare to X", "competitive positioning", "where should we play", "find our white space", or "who else does this".
tonone-ai/tononecrest-narrative
Strategic narrative — write a standalone strategy memo that frames product direction, bets, and rationale for a planning horizon. Use when asked to "write a strategy doc", "product vision", "strategic narrative", "company strategy memo", "planning memo", or "explain our product direction".
tonone-ai/tononecrest-okr
OKR design — create objectives and key results with a North Star metric, input metrics tree, and cadence. Use when asked to "set OKRs", "define our objectives", "what should we measure this quarter", "design our OKR framework", "build a metrics tree", or "what's our North Star".
tonone-ai/tononecrest-recon
Strategic context reconnaissance — read existing roadmaps, OKRs, competitive docs, and briefs to establish context before planning. Use when asked to "understand our strategy", "what's the current roadmap", "what OKRs do we have", "strategic context", or before starting any prioritization or roadmap work.
tonone-ai/tononecrest-roadmap
Build a product roadmap with sequenced bets and explicit tradeoffs. Use when asked to "build a roadmap", "prioritize the backlog strategically", "what do we build next quarter", "sequence our bets", "what should we focus on", or "product strategy for the next N months".
tonone-ai/tononecrest
Product strategist — roadmaps, competitive analysis, OKRs, strategic narratives. Use when asked to "build a roadmap", "analyze competitors", "write a strategy memo", "prioritize features", or "set OKRs".
tonone-ai/tononecut-icon
Design an icon system spec or audit existing icons for consistency and accessibility. Use when asked to "design an icon system", "audit our icons", or "are our icons consistent".
tonone-ai/tononecut-illustrate
Spec or critique custom illustrations — style, composition, and brand alignment. Use when asked to "spec an illustration", "critique this illustration", or "define an illustration style".
tonone-ai/tononecut-recon
Audit existing icons and illustrations in a codebase — find inconsistencies, unoptimized SVGs, and accessibility gaps. Use when asked to "audit our icons and illustrations", "find unoptimized SVGs", or "find inconsistent assets".
tonone-ai/tononedeal-close
Close a specific deal — diagnose why a deal is stalling, write a tailored proposal, design the closing sequence, or navigate procurement. Use when a specific deal is stuck, "how do I close this", "write a proposal for this customer", or "help me get to yes".
tonone-ai/tononedeal-outreach
Cold outbound sequence builder — produces multi-touch email + LinkedIn sequences (5-7 touchpoints) personalized by persona type (technical buyer, economic buyer, champion). Use when asked to "write cold emails", "build an outbound sequence", "create prospecting emails", "write my LinkedIn outreach", or "design a cold email campaign".
tonone-ai/tononedeal-pipeline
Design or audit B2B sales pipeline — define stage names, entry/exit criteria, qualification standards, and CRM field requirements. Use when asked to "design our pipeline", "audit our CRM stages", "define what qualified means", or "build a sales process".
tonone-ai/tononedeal-playbook
Write sales playbooks — outbound sequences, discovery call guides, objection handling scripts, and demo frameworks. Use when asked to "write a sales playbook", "build an outbound sequence", "help me handle objections", or "design a discovery call".
tonone-ai/tononedeal-pricing
Design pricing strategy and packaging — tiers, value metrics, enterprise pricing, freemium design, and pricing page copy. Use when asked to "design our pricing", "should we change our price", "how do we package the product", or "what should we charge enterprise".
tonone-ai/tononedeal-proposal
B2B proposal generator — takes deal context (ICP, pain, pricing tier, timeline) and produces a complete proposal document with executive summary, problem statement, solution, pricing table, implementation timeline, ROI case, and next steps. Use when asked to "write a proposal", "draft our deck for this deal", "build a proposal for this customer", or "generate a proposal".
tonone-ai/tononedeal-qualify
MEDDPICC-based deal qualification worksheet — guide Deal through structured qualification of any opportunity and produce a filled card + recommended next action. Use when asked to "qualify this deal", "run MEDDPICC on this opportunity", "should we pursue this", or "is this deal real".
tonone-ai/tononedeal-recon
Revenue reconnaissance — audit current sales pipeline, deal patterns, ICP definition, and revenue motion to understand what's working and where the constraint is. Use when asked to "audit our sales", "where is revenue stuck", "what's our pipeline state", "before designing a playbook".
tonone-ai/tononedeal
Revenue & Sales engineer — B2B pipeline, deal strategy, pricing proposals, sales playbooks, and enterprise closing. Use when asked to "price this deal", "build a sales playbook", "close an enterprise deal", or "manage the B2B pipeline".
tonone-ai/tononedeploy-canary
Plan and execute canary releases for model updates — traffic splitting, rollback triggers, success metrics. Use when asked to "canary the new model", "roll out this model safely", or "set up a traffic split for a model update".
tonone-ai/tononedeploy-recon
Audit current model deployment topology — serving config, latency profile, version inventory. Use when asked "what models are deployed", "audit our serving setup", or "inventory our model versions".
tonone-ai/tononedeploy-serve
Design and configure model serving infrastructure — endpoint scaling, batching, GPU allocation. Use when asked to "serve this model", "design an inference endpoint", or "size GPU allocation for serving".
tonone-ai/tononedraft-flow
Use when asked to design a user flow, map how a user moves through a feature, create a wireframe or flow diagram, or document interaction design for a product brief. Examples: "design the flow for X", "map out the user journey", "create a wireframe for this feature", "how should the UX work for this".
tonone-ai/tononedraft-ia
Information architecture — design navigation structure, content hierarchy, sitemap, and taxonomy for a product or feature set. Use when asked to "organize the navigation", "information architecture", "how should content be structured", "sitemap", "nav redesign", "where should X live", or "content hierarchy".
tonone-ai/tononedraft-landing
Use when asked to structure a landing page, design page layout for conversion, or plan landing page information architecture. Examples: "landing page structure for SaaS", "conversion-optimized layout"
tonone-ai/tononedraft-patterns
Use when asked about UX patterns, interaction best practices, form design, navigation patterns, or loading states. Examples: "best practice for form validation", "navigation pattern for dashboard", "loading state UX"
tonone-ai/tononedraft-proto
Hi-fi interactive HTML prototype — single-file, double-click-to-open, Playwright-verified. Use when asked to "make it clickable", "build a prototype", "hi-fi mockup", "interactive demo", "iOS prototype", "app mockup", "ui demo", or "prototype this". Goes beyond wireframes into visually finished, state-driven HTML with device frames and real images. Not production code — a design artifact for testing flows and pitching ideas.
tonone-ai/tononedraft-recon
UI and UX reconnaissance — scan existing frontend routes, components, navigation, and flows to understand the current UX state before designing. Use when asked to "understand the current UI", "what UX patterns exist", "map the navigation", "what screens exist", or before starting any flow or wireframe work.
tonone-ai/tononedraft-review
Usability review — evaluate an existing flow or UI against usability heuristics, flag friction points, and recommend fixes. Use when asked to "review the UX", "usability audit", "what's wrong with this flow", "UX feedback", "critique this design", or "why are users dropping off here".
tonone-ai/tononedraft-wireframe
Wireframe a screen — text/ASCII by default, or hand-drawn HTML when the user says "sketch", "hand-drawn", "lo-fi HTML", "whiteboard", "graph paper", or "visual wireframe". Text mode produces a buildable ASCII spec Form and Prism can act on. HTML mode produces a single self-contained file with graph-paper background, marker headlines, sticky-note annotations, and hatched chart placeholders — looks like a designer's whiteboard, commits to nothing.
tonone-ai/tononedraft
UX designer — user flows, information architecture, wireframes, and interaction design. Use when asked to "design a user flow", "map the IA", "wireframe this screen", or "review UX before shipping".
tonone-ai/tononedrift-alert
Design drift alerts and escalation — thresholds, runbooks, and retrain triggers. Use when asked to "alert on model drift", "when should we retrain", or "write a drift escalation runbook".
tonone-ai/tononedrift-monitor
Design a drift monitoring system for a production ML model. Use when asked to "monitor this model in production", "detect data drift", or "set up ML monitoring".
tonone-ai/tononedrift-recon
Audit existing ML monitoring — find gaps in drift coverage and missing alerts. Use when asked to "audit our ML monitoring", "are our models monitored", or "find drift coverage gaps".
tonone-ai/tononeecho-feedback
Feedback synthesis — cluster support tickets, NPS verbatims, app store reviews, and churn surveys by theme, separate signal from noise, and produce an actionable insight report. Use when asked to "synthesize this feedback", "analyze support tickets", "what are users complaining about", "NPS analysis", "churn feedback synthesis", or "what's the feedback telling us".
tonone-ai/tononeecho-interview
Run a user interview — produce an interview guide and synthesize the output into an actionable insight report. Use when asked to "run a user interview", "synthesize these interview notes", "what do users actually want", "build a persona from this feedback", "find the JTBD in these transcripts", or "analyze this interview data".
tonone-ai/tononeecho-jobs
Jobs-to-Be-Done analysis — given a product, user descriptions, transcripts, or tickets, produce a JTBD job map with switching forces analysis and opportunity ranking. Use when asked to "find the JTBD", "what jobs are users hiring us for", "job mapping", "what are users really trying to do", "JTBD framework", or "why are users switching".
tonone-ai/tononeecho-recon
User research reconnaissance — survey existing personas, research docs, interview notes, and feedback artifacts to establish what is already known about users. Use when asked to "what research exists", "review existing personas", "what do we know about our users", or before starting new research or synthesis work.
tonone-ai/tononeecho-segment
User segmentation and persona creation from mixed data sources — analytics, CRM, support tickets, reviews, or any combination. Use when asked to "build personas", "who are our users", "segment our users", "create user profiles", "define user archetypes", or "who is the target user".
tonone-ai/tononeecho
User researcher — interviews, personas, Jobs-to-Be-Done, and customer feedback synthesis. Use when asked to "run user interviews", "build personas", "synthesize feedback", or "find the job-to-be-done".
tonone-ai/tononeedge-cdn
Design a CDN configuration — caching rules, TTLs, and origin shield setup. Use when asked to "configure the CDN", "set cache headers", or "set up an origin shield".
tonone-ai/tononeedge-recon
Audit existing CDN and edge configuration — find cache misses, missing headers, and performance gaps. Use when asked to "audit our CDN", "why is our cache hit rate low", or "find edge config gaps".
tonone-ai/tononeedge-route
Design an edge routing and geo-distribution strategy — latency routing, failover, and edge logic. Use when asked to "geo-route our traffic", "reduce global latency", or "design edge failover".
tonone-ai/tononeembed-design
Design embedding pipelines — model selection, batching, normalization, index refresh strategy. Use when asked to "design an embedding pipeline", "which embedding model should we use", or "how should we batch embeddings".
tonone-ai/tononeembed-recon
Audit embedding infrastructure — model drift, index freshness, query latency, coverage gaps. Use when asked to "audit our embeddings", "is our index stale", or "find embedding coverage gaps".
tonone-ai/tononeembed-search
Optimize similarity search — ANN index tuning, hybrid search, reranking, query expansion. Use when asked to "improve similarity search", "tune the ANN index", or "add hybrid search".
tonone-ai/tononeeval-analyze
Analyze A/B test results — statistical significance, practical significance, and segmentation. Use when asked to "analyze our A/B test", "is this result significant", or "read these experiment results".
tonone-ai/tononeeval-design
Design an A/B test — power analysis, randomization, and success metrics. Use when asked to "design an A/B test", "how many users do we need", or "run a power analysis".
tonone-ai/tononeeval-recon
Audit existing experimentation infrastructure and past experiments for methodology issues. Use when asked to "audit our experiments", "is our experimentation sound", or "review past test methodology".
tonone-ai/tononeevals-analyze
Analyze LLM eval results — score breakdowns by category, regression detection vs baseline, failure clustering. Use when asked to "analyze our eval results", "did the model regress", or "cluster the eval failures".
tonone-ai/tononeevals-design
Design an LLM eval — task schema, scoring rubric, dataset composition, and pass/fail thresholds. Use when asked to "design an LLM eval", "write a scoring rubric", or "how do we measure this model".
tonone-ai/tononeevals-harness
Design eval harnesses — task schemas, metrics, dataset versioning, eval-as-code patterns. Use when asked to "build an eval harness", "set up eval-as-code", or "version our eval datasets".
tonone-ai/tononeevals-recon
Audit existing eval coverage — gaps, metric validity, benchmark leakage, dataset freshness. Use when asked "what eval coverage do we have", "audit our evals", or "check for benchmark leakage".
tonone-ai/tononeevals-regress
Build automated regression suites — golden sets, threshold alerting, CI integration for model changes. Use when asked to "catch model regressions in CI", "build a golden set", or "automate eval regression".
tonone-ai/tononefeat-engineer
Design and implement a feature engineering pipeline for a ML problem. Use when asked to "engineer features for this model", "what features should we build", or "design feature transformations".
tonone-ai/tononefeat-recon
Audit feature engineering code for leakage, quality issues, and pipeline correctness. Use when asked to "audit our feature pipeline", "is there data leakage", or "find feature quality issues".
tonone-ai/tononefeat-store
Design or audit a feature store — serving, freshness, and sharing across models. Use when asked "do we need a feature store", "design a feature store", or "share features across models".
tonone-ai/tononefinop-audit
Audit cloud spend — identify waste, rightsizing opportunities, and reservation gaps. Use when asked "our cloud bill is too high", "find cloud waste", or "where can we rightsize".
tonone-ai/tononefinop-recon
Survey existing cloud cost controls — tagging coverage, alerting, and FinOps maturity. Use when asked to "audit our cost controls", "is our tagging complete", or "assess our FinOps maturity".
tonone-ai/tononefinop-reserve
Design a reservation and savings plan strategy — commitment level, term, and coverage targets. Use when asked "should we buy reserved instances", "design a savings plan strategy", or "what commitment coverage do we need".
tonone-ai/tononefit-recon
Audit existing model training code — find reproducibility issues, data leakage, and missing best practices. Use when asked to "audit our training code", "is our training reproducible", or "check for training data leakage".
tonone-ai/tononefit-train
Design a model training pipeline — algorithm selection, cross-validation, and serialization. Use when asked to "train a model for this", "design a training pipeline", or "which algorithm should we use".
tonone-ai/tononefit-tune
Design a hyperparameter tuning strategy for a model — search space, method, and budget. Use when asked to "tune hyperparameters", "define a search space", or "set a tuning budget".
tonone-ai/tononeflux-health
Data quality and pipeline health check — freshness, schema drift, null rates, orphaned records, pipeline status. Use when asked about "data quality check", "pipeline health", "is our data fresh", or "schema drift".
tonone-ai/tononeflux-migrate
Build zero-downtime database migrations — forward SQL, rollback SQL, deployment sequence. Use when asked to "write migration", "schema change", "add column", "rename table", "drop column", or "migrate safely".
tonone-ai/tononeflux-pipeline
Build a data pipeline — ETL/ELT with extraction, transformation, loading, error handling, and scheduling. Use when asked to "build ETL", "data pipeline", "move data from X to Y", or "sync data".
tonone-ai/tononeflux-query
Optimize slow database queries — analyze execution plans, add indexes, rewrite queries. Use when asked about "slow query", "optimize SQL", "query performance", or "explain this query".
tonone-ai/tononeflux-recon
Database reconnaissance — full inventory of schema, migrations, data volume, backups, connection pooling, and query patterns. Use when asked to "assess this database", "understand the schema", or "database health check".
tonone-ai/tononeflux-schema
Design and build database schema — tables, columns, types, indexes, constraints, relationships. Given a domain description, output the schema and write the files. Use when asked to "design schema", "database design", "create tables", or "data model".
tonone-ai/tononeflux
Data engineer — databases, migrations, pipelines, schema design, and query optimization. Use when asked to "design a schema", "write a migration", "build a data pipeline", or "optimize this query".
tonone-ai/tononefolk-comp
Design compensation framework - salary bands, equity philosophy, offer templates, and total comp benchmarking. Use when asked to "design our comp bands", "how much equity should we give", "is our comp competitive", or "write an offer template".
tonone-ai/tononefolk-culture
Document and strengthen company culture - values articulation, team norms, communication protocols, and culture health diagnostics. Use when asked to "define our values", "document how we work", "diagnose culture health", or "write team norms".
tonone-ai/tononefolk-hire
Build a hiring pipeline - job description, sourcing strategy, interview scorecard, and offer process. Use when asked to "write a job description", "build an interview process", "design our hiring funnel", or "what should we look for in a [role]".
tonone-ai/tononefolk-migrate
Run human-to-agent migration - audit which roles can be agent-assisted or replaced, design the transition playbook, and manage the offboarding of displaced roles. Use when asked to "which roles can agents replace", "how do we transition to AI-first ops", or "build our agent migration plan".
tonone-ai/tononefolk-onboard
Build onboarding playbook - day 1 through week 4 checklist, access provisioning, context transfer, and success milestones. Use when asked to "build an onboarding process", "how do we onboard new hires", or "reduce time to productivity for new joiners".
tonone-ai/tononefolk-org
Design or review org structure - spans of control, reporting lines, role clarity, headcount plan, and team topology. Use when asked to "design our org", "should we restructure", "what is the right team structure", or "plan headcount for next year".
tonone-ai/tononefolk-perf
Design performance management system - review cycles, calibration process, career ladder, and PIP framework. Use when asked to "build a performance review process", "design career levels", "how do we handle underperformers", or "run a review cycle".
tonone-ai/tononefolk-recon
People reconnaissance - audit org design, hiring pipeline, comp structure, onboarding, and performance systems to understand what is working and where the constraint is. Use when asked to "audit our people ops", "what is broken in our hiring", "review our org structure", or "before designing a comp framework".
tonone-ai/tononeforge-audit
Audit existing infrastructure for security issues, waste, and misconfigurations. Use when asked to "audit my infra", "check cloud setup", "infra review", "are we wasting money", "security check on infra", or "review my terraform".
tonone-ai/tononeforge-cost
Audit cloud infrastructure costs and produce a concrete optimization plan with specific changes and estimated savings. Use when asked to "how much is this costing", "reduce cloud spend", "cost optimization", "are we overpaying", "cloud bill", or "budget for this infra".
tonone-ai/tononeforge-diagnose
Diagnose runtime infrastructure issues — cold starts, timeouts, scaling problems, network failures. Use when asked about "infra is slow", "cold starts", "network issues", "why is this timing out", "scaling problem", "latency spikes", or "service is down".
tonone-ai/tononeforge-infra
Build production-grade infrastructure as code for a service or project. Use when asked to "set up infra", "provision infrastructure", "create cloud resources", "IaC for this project", "terraform for this", or "deploy this service".
tonone-ai/tononeforge-network
Design and build networking infrastructure — VPCs, subnets, DNS, load balancers, firewall rules. Use when asked to "set up networking", "VPC design", "configure DNS", "load balancer setup", "network architecture", or "firewall rules".
tonone-ai/tononeforge-recon
Infrastructure reconnaissance — inventory all cloud resources, map connections, flag risks. Use when asked to "inventory our infra", "what infrastructure do we have", "map our cloud resources", "infra discovery", or "what's running in our cloud".
tonone-ai/tononeforge
Infrastructure engineer — cloud services, IaC, networking, cost optimization. Use when asked to "provision infra", "write Terraform", "cut cloud costs", or "design the network".
tonone-ai/tononeform-animate
Motion design — produce HTML animations and export MP4/GIF with optional BGM. Use when asked to "animate this", "create a motion design", "make an intro animation", "product launch animation", "promo video", "export MP4", "export GIF", "60fps animation", "animated logo", or "motion graphics". Delivers a self-contained HTML animation plus rendered video exports. Not for micro-interactions in production code — use /prism-ui for that.
tonone-ai/tononeform-audit
Use when asked to audit UI for visual quality, check design consistency, review brand alignment, evaluate design system compliance, or find visual issues before a launch. Examples: "audit our UI", "check visual consistency", "review the design for issues", "is our UI on-brand", "find visual bugs", "design QA before launch".
tonone-ai/tononeform-brand
Use when asked to create a brand identity, define visual design direction, generate a color palette or type system, build a style guide, or establish the look and feel for a product. Examples: "create a brand for X", "define the visual identity", "what colors should we use", "build a style guide", "design system foundations".
tonone-ai/tononeform-brief
Translate a design brief — structured I-Lang or plain English — into a concrete DESIGN.md and optional HTML token preview. Resolves 8 dimensions (palette, accent, typography, display font, layout, mood, density, constraints) to specific CSS tokens. Use when asked to "create a design brief", "write a DESIGN.md", "define the design system", "design brief for X", "what tokens should we use", or "I-Lang brief".
tonone-ai/tononeform-component
Use when asked to design a UI component, specify a button, input, card, modal, badge, or any interactive element. Examples: "design a button component", "spec out the input field", "define the card component states", "create a component spec for Prism", "what should the dropdown look like".
tonone-ai/tononeform-critique
Expert 5-dimension design critique — philosophical, scored, actionable. Use when asked to "critique this design", "expert review", "score my design", "how does this look", "is this good design", "design feedback", or "review this UI". Different from /form-audit (which is technical QA for consistency/compliance) — form-critique evaluates design as a craft object: philosophy, hierarchy, execution, function, and innovation each scored 0–10 with a punch list. Add "as a report" or "give me a visual report" to produce an HTML file with SVG radar chart, evidence cards, and Keep/Fix/Quick-wins action lists — useful for design reviews and stakeholder presentations instead of CLI output.
tonone-ai/tononeform-deck
Use when asked to design a pitch deck, presentation, or slide set. Examples: "design a pitch deck", "create a sales deck", "make a conference presentation", "build an investor deck", "help me present this to the board", "create slides for X".
tonone-ai/tononeform-direction
Design direction advisor — generates 3 differentiated visual directions with live HTML demos for selection. Use when the brief is vague ("make something nice", "pick a style", "explore directions"), when no design system exists, or when the user wants to compare visual approaches before committing. Richer than /form-style: produces actual visual demos, not just recommendations. Trigger words: "design direction", "style exploration", "pick a direction", "what should this look like", "give me options", "explore styles", "design philosophy".
tonone-ai/tononeform-email
Use when asked to design an email template, newsletter, drip campaign email, transactional email, or any HTML email asset. Examples: "design a welcome email", "create a newsletter template", "make an onboarding email sequence", "design a password reset email", "build an email campaign".
tonone-ai/tononeform-exam
Theory-backed design audit — names the principle violated, cites the source, shows the fix. Use when asked to "evaluate design quality", "check if this follows design principles", "theory check", "design exam", "audit against best practices", or "what's wrong with this design".
tonone-ai/tononeform-logo
Use when asked to create a logo, design a brand mark, generate a logo concept, or produce any logo asset. Examples: "create a logo for X", "design a brand mark", "make me a logo", "generate logo concepts", "logo for our product".
tonone-ai/tononeform-mobile
Use when asked to design iOS or Android mobile app screens, create mobile UI, spec mobile flows, or produce screen designs for a native app. Examples: "design the onboarding screens", "spec the checkout flow for iOS", "design a home screen for Android", "create mobile UI for this feature".
tonone-ai/tononeform-palette
Use when asked to generate a color palette, create industry-matched colors, or pick colors for a product type. Examples: "color palette for fintech", "healthcare app colors", "SaaS brand colors"
tonone-ai/tononeform-social
Use when asked to design social media graphics, ad creatives, or marketing assets. Examples: "design a LinkedIn post for our launch", "create ad creatives for our campaign", "make an Instagram story", "design a Twitter card", "create a banner ad", "social assets for the product announcement".
tonone-ai/tononeform-style
Use when asked to select a UI style, choose a design direction, pick a visual approach for a product, or match a style to an industry. Examples: "what style fits a fintech app", "choose between neumorphism and glassmorphism", "design direction for healthcare SaaS"
tonone-ai/tononeform-tokens
Use when asked to define a design token system, create tokens, document tokens, set up CSS custom properties, build a Tailwind token config, establish a spacing scale, define color semantics, or bridge design decisions to code. Examples: "set up design tokens", "define our token system", "create CSS variables for the design system", "document our color tokens", "establish a spacing scale".
tonone-ai/tononeform-web
Use when asked to design a landing page, marketing website, or any web presence intended to convert or inform. Examples: "design a landing page for X", "create a marketing site", "we need a homepage", "design our website", "build a page for our launch".
tonone-ai/tononeform
Visual designer — brand identity, color systems, typography, design tokens, and UI design. Use when asked to "design our brand", "pick colors and fonts", "build a design system", or "design a logo".
tonone-ai/tononeframe-board
Draft board resolutions, consent documents, and meeting minutes. Use when asked to "draft a board resolution", "write board minutes", or "prepare a board consent".
tonone-ai/tononeframe-equity
Draft equity plan documents — option grants, vesting schedules, 409A notes. Use when asked to "draft an option grant", "write a vesting schedule", or "prepare 409A paperwork".
tonone-ai/tononeframe-recon
Survey corporate documents — articles, bylaws, cap table, board resolutions. Use when asked to "survey our corporate documents", "check cap table hygiene", or "what governance docs exist".
tonone-ai/tononegate-ci
Integrate API quality gates into CI — linting, breaking change detection, and coverage checks. Use when asked to "add API checks to CI", "detect breaking changes in CI", or "set up an API quality gate".
tonone-ai/tononegate-lint
Design an API linting ruleset — style rules, severity levels, and custom organization conventions. Use when asked to "design an API lint ruleset", "enforce API style", or "write Spectral rules".
tonone-ai/tononegate-recon
Audit existing API quality controls — find missing lint rules, gaps in CI gates, and quality debt. Use when asked to "audit our API quality controls", "find missing lint rules", or "assess our API governance".
tonone-ai/tononeglyph-pair
Select and pair fonts for a product — brand display, UI body, and monospace. Use when asked to "pick fonts for our product", "pair a display and body font", or "what typeface should we use".
tonone-ai/tononeglyph-recon
Audit existing typography in a codebase — find inconsistencies, hardcoded sizes, and hierarchy gaps. Use when asked to "audit our typography", "find hardcoded font sizes", or "our type is inconsistent".
tonone-ai/tononeglyph-scale
Design a type scale and hierarchy — sizes, weights, line-heights, and named tokens. Use when asked to "design a type scale", "set up type hierarchy", or "define typography tokens".
tonone-ai/tononegrid-layout
Design a layout system — spacing scale, grid columns, and layout primitives. Use when asked to "design a spacing system", "set up a layout grid", or "build layout primitives".
tonone-ai/tononegrid-recon
Audit existing layout patterns in a codebase — find ad-hoc spacing, inconsistent grids, and missing primitives. Use when asked to "audit our layout patterns", "we have ad-hoc spacing everywhere", or "our grids are inconsistent".
tonone-ai/tononegrid-responsive
Audit or redesign responsive behavior of a layout — breakpoints, reflow, and content priority. Use when asked to "fix responsive behavior", "define breakpoints", or "how should this reflow on mobile".
tonone-ai/tononeguard-audit
Audit guardrail coverage — bypass vectors, false positive rates, policy gap analysis, red-team scenarios. Use when asked to "audit our AI guardrails", "can our filters be bypassed", or "check guardrail false positives".
tonone-ai/tononeguard-design
Design guardrail layers — input classifiers, output validators, PII scrubbers, policy rule engines. Use when asked to "add safety filters", "scrub PII from LLM output", or "design content moderation".
tonone-ai/tononeguard-recon
Map current AI safety controls — filter inventory, coverage gaps, latency impact, incident history. Use when asked "what AI safety controls do we have", "find guardrail coverage gaps", or "map our filters".
tonone-ai/tononeguide-audit
Audit existing API documentation for completeness, accuracy, and developer experience. Use when asked to "audit our API docs", "are our docs accurate", or "review documentation quality".
tonone-ai/tononeguide-recon
Survey documentation coverage across an API or SDK — find undocumented endpoints and gaps. Use when asked "what is undocumented", "find docs coverage gaps", or "survey our API documentation".
tonone-ai/tononeguide-write
Write API reference documentation for an endpoint or SDK method. Use when asked to "document this endpoint", "write API reference docs", or "document this SDK method".
tonone-ai/tononehelm-arbiter
Scope arbitration — resolve disagreements between product and engineering on what is in or out of scope, with a decision log and escalation path. Use when asked to "resolve this scope disagreement", "arbitrate between product and eng", "scope is creeping", "we can't agree on what's in scope", or "help us decide what to cut".
tonone-ai/tononehelm-brief
Use when asked to write a product brief, turn a feature idea into a spec, define requirements for something to build, or clarify what a product should do and why. Examples: "write a brief for X", "turn this idea into a spec", "what should we build here", "help me define requirements".
tonone-ai/tononehelm-handoff
Use when a product brief is finalized and ready to hand off to the engineering team, or when asked to send a brief to Apex, kick off engineering work, or start development on a product spec. Examples: "hand this off to engineering", "send brief to Apex", "start building this", "kick off dev on this spec".
tonone-ai/tononehelm-plan
Use when asked to build a product roadmap, prioritize a backlog, decide what to build next, or sequence a list of feature ideas. Examples: "what should we build next", "prioritize this backlog", "make a roadmap", "RICE score these features".
tonone-ai/tononehelm-recon
Product landscape reconnaissance — survey existing briefs, research, strategy, and team output before writing new briefs or dispatching specialists. Use when asked to "understand the product state", "what briefs exist", "what has the team produced", "orient me on this product", or before starting a new product initiative.
tonone-ai/tononehelm
Head of product — orchestrate the product team, write briefs, plan initiatives, hand off to Apex. Use when asked to "write a product brief", "plan the roadmap", "decide what to build", or hand off requirements to engineering.
tonone-ai/tononehue-palette
Design a color palette with semantic tokens for a brand or product. Use when asked to "design a color palette", "what colors should we use", or "define semantic color tokens".
tonone-ai/tononehue-recon
Audit existing color usage in a codebase — find inconsistencies, hardcoded values, and contrast failures. Use when asked to "audit our color usage", "find hardcoded hex values", or "check for contrast failures".
tonone-ai/tononehue-token
Audit or refactor a design token system for color — naming, structure, and coverage. Use when asked to "refactor our color tokens", "fix color token naming", or "improve token coverage for color".
tonone-ai/tononehunt-assess
Design a compromise assessment — hunting scope, methodology, and evidence collection. Use when asked "are we compromised", "run a compromise assessment", or "scope a threat hunt".
tonone-ai/tononehunt-ioc
Analyze indicators of compromise — enrichment, attribution, and response recommendations. Use when asked to "analyze these IOCs", "enrich these indicators", or "what is this hash".
tonone-ai/tononehunt-recon
Design a threat hunting program — maturity assessment, hunting calendar, and playbook library. Use when asked to "build a threat hunting program", "assess our hunting maturity", or "create a hunt playbook library".
tonone-ai/tononeink-brief
Content brief generator — takes a topic or keyword and produces a complete content brief with target keyword, search intent, recommended structure, internal link targets, word count, CTA, and competitive gap analysis. Use when asked to "write a content brief", "brief this blog post", "plan this article", or "what should we cover for [keyword]".
tonone-ai/tononeink-calendar
Build a content calendar — editorial plan, publishing cadence, topic assignment, and distribution workflow. Use when asked to "build a content calendar", "plan our content for the quarter", "how often should we publish", or "create an editorial schedule".
tonone-ai/tononeink-case
Write customer case studies and success stories — interview guide, story structure, and publish-ready case study with metrics. Use when asked to "write a case study", "document a customer success story", "create social proof content", or "write about how [customer] uses the product".
tonone-ai/tononeink-cluster
Topic cluster and keyword-to-page mapping — group keywords by search intent (validated by SERP overlap, not word similarity), map each cluster to an existing or proposed page, flag cannibalization, and lay out pillar, supporting posts, and internal links. Use when asked to "build a content cluster", "map our SEO cluster for [topic]", "which page should target these keywords", "create a topic cluster", or "what should our pillar page be about".
tonone-ai/tononeink-distribute
Content distribution plan — takes a completed piece and produces a channel-by-channel plan covering HN, Reddit, LinkedIn, newsletter, and Twitter/X, with timing, per-channel framing, and a repurposing plan. Use when asked to "distribute this post", "how do we promote this article", "write distribution copy for this piece", or "where should we share this".
tonone-ai/tononeink-links
Link prospecting — pick the site's most linkable asset, find pages that plausibly link to it (resource pages, competitor linkers, unlinked mentions, broken links), verify real contact paths, and draft personalized outreach. Never invents contacts. Use when asked to "find backlink opportunities", "who should link to us", "build links to this page", "link prospecting", or "draft outreach for backlinks".
tonone-ai/tononeink-local
Local SEO audit — assess a location-based business's Google Business Profile against local competitors, check Maps and local-pack visibility for its main queries, and recommend the few fixes that win nearby searches. Use when asked to "improve our local SEO", "why don't we show up on Google Maps", "audit our Google Business Profile", "rank in the local pack", or "local search for [city]".
tonone-ai/tononeink-post
Write a blog post or article — research the keyword, draft the post, and produce publish-ready content with SEO optimization. Use when asked to "write a blog post", "write about [topic]", "draft an article", or "write a tutorial".
tonone-ai/tononeink-recon
Content marketing reconnaissance — audit current content, SEO health, competitor content gaps, and content distribution. Use when asked to "audit our content", "what's our SEO state", "where are the content gaps", or before designing a content strategy.
tonone-ai/tononeink-seo
SEO audit and keyword strategy — investigate a site's real search opportunities, shortlist candidates, and recommend the one to three changes most likely to grow organic traffic that converts. Evidence-first — metrics come from a tool or are written as unknown. Use when asked to "improve our SEO", "do keyword research", "audit our SEO", "why aren't we ranking", or "what should we fix first for search".
tonone-ai/tononeink
Content Marketing engineer — blog strategy, SEO, thought leadership, developer content, case studies, and content calendar. Use when asked to "write a blog post", "plan our SEO", "build a content calendar", or "write a case study".
tonone-ai/tononekeel-audit
Operational efficiency audit — identify waste, redundancy, and friction across processes, tools, and team workflows. Use when asked to "audit our operations for waste", "where are we inefficient", "what tools are we paying for but not using", or "reduce operational overhead".
tonone-ai/tononekeel-cadence
Design meeting and communication cadence — what meetings to run, how often, who attends, and what decisions they make. Use when asked to "design our meeting structure", "what meetings should we have", "reduce meeting load", or "build our operating rhythm".
tonone-ai/tononekeel-comply
Build or audit compliance program — SOC2, GDPR, HIPAA, or ISO 27001 readiness assessment, gap analysis, and remediation roadmap. Use when asked to "do we need SOC2", "are we GDPR compliant", "what does our compliance program need", or "build a security policy".
tonone-ai/tononekeel-legal
Draft or review legal ops documents — NDA, MSA, SaaS agreement review checklist, vendor contract terms. Use when asked to "review this contract", "draft an NDA", "what should I look for in this agreement", or "build our contract review process".
tonone-ai/tononekeel-okr
Design and run OKR program — company objectives, team key results, cascade design, and quarterly review cadence. Use when asked to "design our OKRs", "are our OKRs good", "cascade goals to teams", or "run a quarterly OKR review".
tonone-ai/tononekeel-process
Document or redesign a business process — standard operating procedure (SOP), process map, RACI, and owner assignment. Use when asked to "document this process", "write a runbook", "design how we handle X", or "map the process for Y".
tonone-ai/tononekeel-recon
Operations reconnaissance — audit process documentation, vendor contracts, compliance posture, OKR health, and cross-functional friction points to understand where operations is the bottleneck. Use when asked to "audit our operations", "where are we slow", "what processes are broken", or "before designing a compliance program".
tonone-ai/tononekeel-vendor
Manage vendor relationships — vendor selection scorecard, contract review checklist, renewal tracking, and vendor consolidation audit. Use when asked to "evaluate this vendor", "review this contract", "track vendor renewals", or "reduce our SaaS spend".
tonone-ai/tononekeep-churn
Churn risk identification and intervention — scans health signals for at-risk accounts, classifies risk level (CRITICAL/HIGH/MEDIUM), and produces an intervention sequence per risk type. Use when asked to "find at-risk accounts", "who might churn", "build a churn prevention plan", "identify churn signals", or "rescue this account".
tonone-ai/tononekeep-expand
Design expansion revenue playbooks — upsell triggers, seat expansion sequences, tier upgrade paths, and cross-sell motions. Use when asked to "grow existing customers", "increase NRR", "design upsell", or "how do we get customers to expand".
tonone-ai/tononekeep-health
Design a customer health scoring model — define signals, weights, thresholds, and action triggers. Use when asked to "build health scoring", "how do we predict churn", "what signals indicate a customer is at risk", or "design our health model".
tonone-ai/tononekeep-onboard
Optimize customer onboarding — map the activation sequence, identify drop-off points, design the aha moment, and produce the onboarding email sequence. Use when asked to "fix onboarding", "improve activation", "time-to-value is too slow", or "customers aren't getting started".
tonone-ai/tononekeep-playbook
Write churn prevention and win-back playbooks — risk intervention sequences, save conversation guides, and win-back email campaigns. Use when asked to "prevent churn", "save at-risk customers", "win back churned customers", or "build a save play".
tonone-ai/tononekeep-qbr
Quarterly Business Review template generator — takes account info (ARR tier, adoption metrics, goals) and produces a complete QBR deck outline and talking points. Use when asked to "prepare a QBR", "build a quarterly review", "write our QBR agenda", or "create QBR talking points for this account".
tonone-ai/tononekeep-recon
Customer success reconnaissance — audit current onboarding completion, health signals, NRR, churn patterns, and CS motion. Use when asked to "audit our customer success", "why are customers churning", "what's our NRR", or before designing any CS playbook.
tonone-ai/tononekeep-segment
Customer segmentation model builder — tiers customers by ARR, health, and expansion potential; defines CS motion per tier; maps resource allocation. Use when asked to "segment our customers", "define our CS tiers", "how should we allocate CS resources", "build a customer segmentation model", or "who gets high-touch vs. digital".
tonone-ai/tononekeep
Customer Success engineer — onboarding optimization, health scoring, expansion revenue, churn prevention, and NRR growth. Use when asked to "improve onboarding", "score account health", "prevent churn", or "grow NRR".
tonone-ai/tononekube-design
Design a Kubernetes cluster architecture — node pools, RBAC, networking, and workload config. Use when asked to "design a Kubernetes cluster", "plan our node pools", or "design K8s architecture for this workload".
tonone-ai/tononekube-rbac
Design or audit Kubernetes RBAC — roles, bindings, service accounts, and least-privilege model. Use when asked to "audit Kubernetes RBAC", "apply least privilege in K8s", or "review service account permissions".
tonone-ai/tononekube-recon
Audit an existing Kubernetes cluster — find misconfigurations, security gaps, and resource issues. Use when asked to "audit our Kubernetes cluster", "find K8s misconfigurations", or "check cluster security gaps".
tonone-ai/tononelens-audit
Review existing analytics — find all dashboards and reports, check who uses them, whether metrics are defined, and whether they drive decisions. Recommend what to keep, kill, or add. Use when asked "are our dashboards useful", "analytics review", or "metrics audit".
tonone-ai/tononelens-chart
Use when asked to select chart types for analytics dashboards, choose BI visualizations, or design data displays. Examples: "best chart for sales data", "dashboard visualization for metrics", "analytics chart selection"
tonone-ai/tononelens-dashboard
Design and spec an analytical dashboard — define the question each chart answers, write the SQL queries, spec the layout and refresh cadence. Produces a complete dashboard spec ready to implement. Use when asked to "build a dashboard", "analytics dashboard", "BI dashboard", "weekly product health", or "visualize this data".
tonone-ai/tononelens-metrics
Produce a complete metrics definition doc — metric name, formula, data source, segmentation, SQL or event tracking spec, and what good/bad looks like. Given a product area, outputs the full metrics spec. Use when asked to "define KPIs", "metrics framework", "what should we measure", "north star metric", or "instrument this feature".
tonone-ai/tononelens-recon
Analytics reconnaissance for takeover — find all analytics tools, inventory what's tracked and dashboarded, assess data freshness and metric definitions, and present a coverage map. Use when asked "what analytics exist", "BI assessment", or "what do we track".
tonone-ai/tononelens-report
Build a reporting pipeline — scheduled reports with SQL queries, delivery via Slack or email, threshold alerts, and historical comparison. Use when asked for "automated reports", "scheduled report", "email digest", or "Slack alerts for metrics".
tonone-ai/tononelens
Analytics and BI engineer — dashboards, metrics design, reporting pipelines, and data storytelling. Use when asked to "build a dashboard", "design a metric", "write a report", or "audit our analytics".
tonone-ai/tononelodge-dmca
Draft DMCA takedown notice or counter-notice. Use when asked to "file a DMCA takedown", "respond to a DMCA notice", or "draft a counter-notice".
tonone-ai/tononelodge-filing
Prepare a regulatory filing, disclosure notice, or government submission. Use when asked to "prepare a regulatory filing", "handle a state registration", or "draft a government disclosure".
tonone-ai/tononelodge-recon
Survey pending and required regulatory filings. Use when asked "what filings are due", "survey our regulatory filings", or "are we behind on filings".
tonone-ai/tononelumen-abtest
A/B test design — produce an experiment spec with hypothesis, primary metric, MDE, sample size, run time, and decision rule. Also determines when NOT to A/B test and what to do instead. Use when asked to "design an A/B test", "should we test this", "experiment design", "how do we know if this works", "what's the sample size", or "set up an experiment".
tonone-ai/tononelumen-funnel
Use when asked to analyze a funnel, find where users drop off, diagnose low conversion or activation rates, design a metrics framework, set up OKRs, or measure whether a feature is working. Examples: "analyze our funnel", "why is activation low", "where are users dropping off", "design OKRs for this quarter", "is this feature working", "set up metrics for this launch".
tonone-ai/tononelumen-instrument
Instrumentation plan — design event taxonomy, property schema, and tracking plan for analytics tools. Use when asked to "what should we track", "instrumentation plan", "set up analytics events", "analytics event schema", "tracking plan", or "instrument this feature".
tonone-ai/tononelumen-metrics
Metrics architecture — produce a complete metrics plan given a product description. North Star, input metrics tree, instrumentation spec, action triggers, and counter-metrics. Use when asked to "design a metrics framework", "what should we measure", "build a metrics system", "define our KPIs", "what are our success metrics", "metrics strategy", or "what do we track".
tonone-ai/tononelumen-recon
Analytics reconnaissance — scan existing event tracking, metric definitions, dashboards, and analytics configuration to understand what is currently being measured. Use when asked to "what are we tracking", "audit our analytics", "what metrics exist", "analytics inventory", or before designing new metrics or instrumentation.
tonone-ai/tononelumen
Product analyst — metrics architecture, funnel analysis, A/B test design, retention, and growth measurement. Use when asked to "design an A/B test", "analyze the funnel", "define a north star metric", or "measure retention".
tonone-ai/tononemark-asset
Design an asset library structure — naming conventions, formats, and delivery specs. Use when asked to "organize our brand assets", "define asset naming conventions", or "spec logo delivery formats".
tonone-ai/tononemark-brand
Write brand guidelines — logo usage, color, typography, voice, and visual principles. Use when asked to "write brand guidelines", "define logo usage rules", or "document our visual identity".
tonone-ai/tononemark-recon
Audit existing brand assets and usage — find inconsistencies, off-brand applications, and gaps. Use when asked to "audit our brand assets", "find off-brand usage", or "check brand consistency".
tonone-ai/tononemesh-design
Design a service mesh deployment — technology selection, mTLS policy, and traffic management config. Use when asked "should we use a service mesh", "Istio or Linkerd", or "design our mTLS policy".
tonone-ai/tononemesh-observe
Design service mesh observability — distributed tracing, service-level metrics, and dashboards. Use when asked to "add service mesh observability", "set up distributed tracing in the mesh", or "build service-level dashboards".
tonone-ai/tononemesh-recon
Audit existing service mesh configuration — find mTLS gaps, traffic policy issues, and observability holes. Use when asked to "audit our service mesh", "find mTLS gaps", or "review traffic policy issues".
tonone-ai/tononemint-board
Produce board financial package — monthly or quarterly financial update with P&L, cash position, key metrics, and variance vs plan. Use when asked to "prepare board materials", "write the financial section of the board deck", or "what metrics does the board care about".
tonone-ai/tononemint-budget
Design or review annual operating budget — headcount plan, departmental spending, revenue targets, and variance tracking. Use when asked to "build our budget", "plan headcount for next year", or "review our spending".
tonone-ai/tononemint-model
Build or audit a financial model — 3-statement model (P&L, cash flow, balance sheet), scenario analysis, and sensitivity tables. Use when asked to "build a financial model", "model our growth scenarios", or "what happens to runway if we hire 5 people".
tonone-ai/tononemint-raise
Prepare fundraising financial materials — investor model, data room financial docs, cap table, and use-of-funds narrative. Use when asked to "prepare for Series A", "build our investor model", or "what financials do investors want".
tonone-ai/tononemint-recon
Financial reconnaissance — audit current P&L, burn rate, runway, unit economics, and financial health to understand where the constraint is. Use when asked to "audit our finances", "what is our runway", "are our unit economics healthy", or "before building a financial model".
tonone-ai/tononemint-report
Generate financial reports — monthly close package, variance analysis, and management reporting. Use when asked to "generate monthly financials", "close the books", or "write variance commentary".
tonone-ai/tononemint-runway
Calculate and extend runway — current cash, burn rate, runway months, and the levers available to extend it. Use when asked to "how long is our runway", "when do we run out of money", or "what cuts extend runway by 6 months".
tonone-ai/tononemint-unit
Audit and improve unit economics — LTV, CAC, payback period, gross margin, contribution margin. Use when asked to "are our unit economics good", "what is our LTV/CAC", or "how do we improve gross margin".
tonone-ai/tononemock-contract
Design a consumer-driven contract testing setup — Pact configuration and CI integration. Use when asked to "set up contract testing", "configure Pact", or "add consumer-driven contracts".
tonone-ai/tononemock-design
Design a mock server for an API — tooling selection, response fixtures, and error scenarios. Use when asked to "build a mock server", "mock this API for development", or "create response fixtures".
tonone-ai/tononemock-recon
Audit existing mocks and test doubles — find contract drift, missing error cases, and stale fixtures. Use when asked to "audit our mocks", "find stale test fixtures", or "check for contract drift".
tonone-ai/tononemove-animate
Design an animation spec for a component or interaction — timing, easing, and keyframes. Use when asked to "animate this component", "spec the transition", or "define easing and timing for this interaction".
tonone-ai/tononemove-recon
Audit existing animations in a codebase — find inconsistencies, missing reduced-motion support, and performance issues. Use when asked to "audit our animations", "check reduced-motion support", or "our animations are janky".
tonone-ai/tononemove-system
Design a motion system for a product — duration tokens, easing curves, and animation principles. Use when asked to "design a motion system", "define duration and easing tokens", or "document animation principles".
tonone-ai/tononemulti-design
Design a multi-cloud or cloud portability strategy — provider selection, workload placement, and lock-in management. Use when asked "should we go multi-cloud", "design for cloud portability", or "where should this workload run".
tonone-ai/tononemulti-port
Assess and improve cloud portability — identify lock-in, prioritize abstraction, and design migration paths. Use when asked "how locked in are we", "reduce vendor lock-in", or "plan a cloud migration".
tonone-ai/tononemulti-recon
Survey existing cloud architecture for lock-in depth and portability gaps. Use when asked to "survey our cloud lock-in", "find portability gaps", or "how cloud-agnostic are we".
tonone-ai/tononeonboard-audit
Audit the developer onboarding experience — measure TTFC and find friction points. Use when asked "why do developers drop off", "audit our onboarding", or "measure time to first call".
tonone-ai/tononeonboard-quickstart
Write a developer quickstart — minimal steps from zero to first successful API call. Use when asked to "write a quickstart", "get users from zero to first API call", or "write a getting started guide".
tonone-ai/tononeonboard-recon
Survey existing onboarding docs and developer portal — find gaps and structural issues. Use when asked to "survey our onboarding docs", "find developer portal gaps", or "review our onboarding structure".
tonone-ai/tononepatch-plan
Design a vulnerability management program — SLAs, asset tiers, escalation, and metrics. Use when asked to "design a patching program", "set vulnerability SLAs", or "define our patch cadence".
tonone-ai/tononepatch-recon
Audit existing vulnerability management — find SLA gaps, missing tiers, and process failures. Use when asked to "audit our vulnerability management", "find patch SLA gaps", or "are we patching fast enough".
tonone-ai/tononepatch-triage
Triage a set of CVEs — CVSS + EPSS + KEV scoring, prioritization, and recommended remediation order. Use when asked to "triage these CVEs", "which vulnerabilities matter", or "prioritize our patching".
tonone-ai/tononepave-audit
Audit developer experience — measure onboarding time, build speed, deployment friction, and developer satisfaction. Use when asked to "DX audit", "developer experience review", "why is development slow", "onboarding assessment", or "DORA metrics".
tonone-ai/tononepave-catalog
Build a service catalog — schema, starter entries, and governance model. Produces what information to capture per service, how it's maintained, and where it lives. Use when asked to "service catalog", "what services do we have", "catalog our services", "service inventory", or "who owns what".
tonone-ai/tononepave-contribute
Contribute a session learning back to the upstream tonone repo. Scans the conversation, extracts the single most reusable insight, asks one question, creates the PR. Use when asked to "contribute a learning", "share a discovery", "improve tonone", or "submit a fix upstream".
tonone-ai/tononepave-env
Set up local development environments — devcontainers, Docker Compose, one-command setup, dev/prod parity. Use when asked to "set up dev environment", "devcontainer", "docker compose for dev", "local development setup", or "one command to run".
tonone-ai/tononepave-golden
Define a golden path — the opinionated, supported way to do a common developer task (create a new service, set up an environment, deploy a feature). Produces concrete steps, templates, and tooling. Use when asked to "golden path", "create project template", "scaffold a new service", "how should we create services", or "standardize our setup".
tonone-ai/tononepave-lsp
Detect which languages a project actually uses and wire the matching LSP and semantic-code plugins into the developer's Claude Code setup, so the agent gets go-to-definition, find-references, rename-symbol and real type errors instead of grep. Use when asked to "set up LSP", "wire up language servers", "install typescript-lsp", "give Claude type awareness", "add Serena", or "why is Claude grepping instead of using types".
tonone-ai/tononepave-recon
Platform reconnaissance — inventory all developer tooling, environments, build systems, and developer workflows for project takeover. Use when asked to "understand the dev setup", "developer tooling assessment", "platform assessment", or "how do developers work here".
tonone-ai/tononepave
Platform engineer — developer experience, golden paths, service catalogs, and local dev environments. Use when asked to "improve dev experience", "build a golden path", "audit the service catalog", or "fix local dev setup".
tonone-ai/tononephish-assess
Design a phishing simulation program — scenario selection, difficulty curve, and measurement. Use when asked to "run a phishing simulation", "design a phishing test", or "measure phishing susceptibility".
tonone-ai/tononephish-recon
Audit existing security awareness program — coverage gaps, effectiveness metrics, and culture indicators. Use when asked to "audit our security awareness program", "find training coverage gaps", or "measure our security culture".
tonone-ai/tononephish-train
Design a security awareness training curriculum — topics, format, and effectiveness measurement. Use when asked to "design security training", "build a security awareness curriculum", or "train our team on security".
tonone-ai/tononepitch-copy
Landing page and marketing copy — write hero section, problem/solution blocks, proof points, and CTAs. Use when asked to "write landing page copy", "write the homepage", "marketing copy for this feature", "product page copy", "write the hero section", or "write copy for [surface]".
tonone-ai/tononepitch-landing
Use when asked to structure a landing page for positioning, plan a conversion-optimized page layout, or design a launch page. Examples: "landing page for product launch", "conversion-optimized layout for SaaS"
tonone-ai/tononepitch-launch
Produce an actual launch plan with announcement copy, channel sequence, and day-1 checklist. Use when asked to "plan a launch", "GTM strategy", "how do we announce this", "launch plan for [feature]", "go-to-market", "write our Product Hunt post", or "how do we get people to notice this".
tonone-ai/tononepitch-message
Messaging framework — produce a full headline, subheadline, proof points, and CTA hierarchy for use across all surfaces. Use when asked to "write our messaging", "messaging framework", "what should our headline say", "copy hierarchy", "tagline and messaging", or "how do we talk about the product".
tonone-ai/tononepitch-position
Produce a complete positioning document using the Dunford framework — competitive alternatives, unique attributes, value, best-fit customer, market category, positioning statement, and tagline. Use when asked to "write our positioning", "define our value prop", "positioning statement", "what market are we in", "how do we position against X", "what's our tagline", or "write our messaging foundation".
tonone-ai/tononepitch-recon
Marketing and messaging reconnaissance — read existing landing pages, copy, positioning docs, and marketing materials to understand the current messaging state. Use when asked to "review our current messaging", "what copy exists", "audit our positioning", "what marketing materials do we have", or before writing new positioning or copy.
tonone-ai/tononepitch
Product marketer — positioning, messaging, value prop, GTM strategy, and launch copy. Use when asked to "write launch copy", "position this product", "build a GTM plan", or "write messaging".
tonone-ai/tononeplot-chart
Design or critique a data visualization — chart type selection, encoding, and clarity. Use when asked "what chart should I use", "critique this visualization", or "design this chart".
tonone-ai/tononeplot-eda
Design an exploratory data analysis workflow for a dataset. Use when asked to "explore this dataset", "run an EDA", or "what is in this data".
tonone-ai/tononeplot-recon
Audit existing visualizations in a codebase or notebook — find misleading charts and quality issues. Use when asked to "audit our charts", "find misleading visualizations", or "review chart quality".
tonone-ai/tononeport-design
Design an SDK architecture for an API — language targets, idiomatic patterns, and code generation strategy. Use when asked to "design our SDK", "which languages should we support", or "plan SDK code generation".
tonone-ai/tononeport-recon
Audit multi-language SDK coverage — find missing languages, inconsistencies, and maintenance gaps. Use when asked to "audit our SDK coverage", "find missing language SDKs", or "review SDK maintenance gaps".
tonone-ai/tononeport-review
Review an existing SDK for idiomatic quality, consistency, and developer ergonomics. Use when asked to "review this SDK", "is our SDK idiomatic", or "assess SDK developer ergonomics".
tonone-ai/tononeprism-audit
Frontend audit — bundle size, dependencies, accessibility, performance, component quality. Use when asked for "frontend review", "performance audit", "accessibility check", or "bundle size".
tonone-ai/tononeprism-chart
Use when asked to implement a chart, select a visualization type, or build a data display component. Examples: "implement chart for time series", "best visualization for comparison data", "chart component for analytics"
tonone-ai/tononeprism-component
Implement a reusable, accessible, typed component from a design spec. Use when asked to "create a component", "build a widget", "implement this design", or "reusable UI element".
tonone-ai/tononeprism-dashboard
Build an internal dashboard with data tables, filters, detail views, and CRUD. Use when asked to build an "admin panel", "internal dashboard", "back office", or "data dashboard UI".
tonone-ai/tononeprism-recon
Frontend reconnaissance — map the component tree, routing, state management, build config, and assess quality. Use when asked to "understand this frontend", "frontend assessment", or "what's the UI built with".
tonone-ai/tononeprism-stack
Use when asked for framework-specific best practices, implementation guidelines for React/Vue/Svelte/Next.js, or stack-specific patterns. Examples: "React best practices", "Vue component patterns", "Next.js performance"
tonone-ai/tononeprism-ui
Implement a complete UI screen or feature from a Form visual spec. Use when asked to "build a page", "implement this screen", "build the frontend for this feature", or "create this UI".
tonone-ai/tononeprism
Frontend engineer — UI components, dashboards, design system implementation, and frontend audits. Use when asked to "build this UI component", "audit the frontend", "implement the design system", or "build a dashboard".
tonone-ai/tononeprompt-design
Design production prompts — system prompt architecture, instruction clarity, few-shot selection. Use when asked to "write a system prompt", "design a production prompt", or "pick few-shot examples for this task".
tonone-ai/tononeprompt-recon
Audit prompt library — duplication, quality, coverage gaps, version drift, eval alignment. Use when asked to "audit our prompt library", "find duplicate prompts", or "check for prompt version drift".
tonone-ai/tononeprompt-version
Build prompt versioning systems — storage, A/B testing, regression tracking, rollback. Use when asked to "version our prompts", "A/B test prompts", or "roll back a prompt".
tonone-ai/tononeproof-api
Build API test suites — endpoint testing, contract testing, load testing for REST/GraphQL/gRPC APIs. Use when asked to "test this API", "API tests", "endpoint testing", "contract tests", or "load test".
tonone-ai/tononeproof-audit
Audit test suite health — find flaky tests, slow tests, coverage gaps, and testing anti-patterns. Use when asked to "audit tests", "fix flaky tests", "why are tests slow", "test health", or "improve test suite".
tonone-ai/tononeproof-design
Design QA audit — red flags, severity classification, visual quality scorecard. Use when asked to "QA the design", "check visual quality", "design review before launch", "visual bugs", "design audit", or "does this look right".
tonone-ai/tononeproof-e2e
Build E2E test specs for critical user journeys — Playwright or Cypress, page objects, setup/teardown, CI config. Use when asked to "write E2E tests", "end-to-end testing", "browser tests", "UI tests", or "Playwright tests".
tonone-ai/tononeproof-explore
Walk a running frontend with a real browser and produce a flow transcript that E2E specs are written from. Use when asked to "explore the app", "test the frontend in a browser", "map the user flows", "browser exploration", or "what does this flow actually do".
tonone-ai/tononeproof-recon
Testing reconnaissance — inventory all tests, frameworks, coverage, CI integration, and assess testing maturity for project takeover. Use when asked to "understand the tests", "testing assessment", "what's tested", or "test inventory".
tonone-ai/tononeproof-strategy
Produce a test strategy for a project or feature — risk map, test type decisions, coverage targets, CI config. Use when asked to "create test strategy", "what should we test", "testing plan", or "improve test coverage".
tonone-ai/tononeproof
QA and testing engineer — test strategy, E2E suites, API tests, flaky test triage, coverage. Use when asked to "write E2E tests", "design a test strategy", "triage flaky tests", or "check test coverage".
tonone-ai/tononequeue-design
Design a message queuing or streaming architecture for a workload. Use when asked "should we use Kafka or SQS", "design a queue architecture", or "design event streaming".
tonone-ai/tononequeue-recon
Audit existing queue and streaming infrastructure — find missing DLQs, scaling gaps, and reliability issues. Use when asked to "audit our queues", "do we have DLQs", or "find queue reliability gaps".
tonone-ai/tononequeue-scale
Design a backpressure and scaling strategy for a queue consumer system. Use when asked "our consumers are falling behind", "design backpressure", or "scale queue consumers".
tonone-ai/tononerank-design
Design ranking pipelines — reranker selection, score fusion, cross-encoder patterns, latency trade-offs. Use when asked to "add a reranker", "design a ranking pipeline", or "improve retrieval relevance".
tonone-ai/tononerank-eval
Build ranking evaluation — NDCG/MRR measurement, human relevance labeling, offline eval harness. Use when asked to "measure ranking quality", "compute NDCG for our search", or "set up human relevance labeling".
tonone-ai/tononerank-recon
Audit ranking quality — metric trends, failure modes, dataset coverage, reranker performance. Use when asked to "audit our ranking quality", "find search relevance failures", or "review reranker performance".
tonone-ai/tononered-pentest
Design a penetration testing plan — scope, methodology, attack surface, and rules of engagement. Use when asked to "plan a penetration test", "scope a red team exercise", or "define rules of engagement".
tonone-ai/tononered-recon
Design a reconnaissance plan — OSINT, attack surface mapping, and enumeration methodology. Use when asked to "map our attack surface", "run OSINT on our org", or "build an enumeration plan".
tonone-ai/tononered-report
Write a penetration test or red team finding report — CVSS scores, business impact, and remediation. Use when asked to "write a pentest report", "document this finding", or "score CVSS and business impact".
tonone-ai/tononerelay-audit
Audit an existing CI/CD pipeline for slowness, security issues, and reliability gaps. Use when asked to "audit pipeline", "why is CI slow", "pipeline review", or "deployment review".
tonone-ai/tononerelay-deploy
Set up a complete deployment configuration — Dockerfile, deployment manifest, environment config, and rollback procedure. Use when asked about "deployment setup", "how do I deploy this", "deployment strategy", or "rollback plan".
tonone-ai/tononerelay-docker
Build production-ready Dockerfiles with multi-stage builds, security hardening, and docker-compose for local dev. Use when asked to "create Dockerfile", "optimize container", or "dockerize this".
tonone-ai/tononerelay-pipeline
Build a full CI/CD pipeline from scratch. Use when asked to "set up CI/CD", "create pipeline", or "automate deploys".
tonone-ai/tononerelay-recon
Map the full CI/CD pipeline — triggers, build, test, deploy flow — with risk assessment. Use when asked "how does this deploy", "map the pipeline", or "understand CI/CD".
tonone-ai/tononerelay-ship
End-to-end ship workflow — merge base, run tests, review diff, bump version, commit, push, create PR. Use when asked to "ship", "push to main", "create a PR", "get this merged", or "deploy this branch".
tonone-ai/tononerelay
DevOps engineer — CI/CD pipelines, deployments, GitOps, Docker, and developer experience. Use when asked to "set up CI/CD", "fix the deploy pipeline", "containerize this", or "improve GitOps".
tonone-ai/tononeresp-contain
Design containment procedures for an active incident — isolation, quarantine, and credential rotation. Use when asked to "contain this incident", "isolate the compromised host", or "rotate credentials after a breach".
tonone-ai/tononeresp-playbook
Write an incident response playbook for a threat scenario — detection, containment, eradication, recovery. Use when asked to "write an IR playbook", "build an incident response runbook", or "how do we respond to ransomware".
tonone-ai/tononeresp-recon
Audit existing incident response capability — playbook coverage, tooling gaps, and readiness. Use when asked to "audit our incident response", "assess IR readiness", or "find playbook coverage gaps".
tonone-ai/tononesample-recon
Survey existing code samples — coverage, language parity, and freshness. Use when asked to "survey our code samples", "check language parity for examples", or "find stale samples".
tonone-ai/tononesample-review
Review existing code samples for correctness, runnability, and developer experience. Use when asked to "review these code samples", "do our examples actually run", or "assess sample quality".
tonone-ai/tononesample-write
Write a working code sample or tutorial for an API feature or integration pattern. Use when asked to "write a code sample", "write a tutorial for this feature", or "build an integration example".
tonone-ai/tononesast-fix
Analyze and fix a SAST finding — root cause, exploitability, and secure code alternative. Use when asked to "fix this SAST finding", "is this vulnerability exploitable", or "what is the secure alternative to this code".
tonone-ai/tononesast-recon
Audit existing application security tooling and code for OWASP Top 10 coverage. Use when asked to "audit our appsec tooling", "check OWASP Top 10 coverage", or "find code security gaps".
tonone-ai/tononesast-scan
Design a SAST/DAST scanning pipeline — tooling selection, CI integration, and triage workflow. Use when asked to "set up SAST in CI", "add DAST scanning", or "build a security scanning pipeline".
tonone-ai/tononeschema-design
Design an API schema — OpenAPI spec, GraphQL schema, or gRPC proto for a feature. Use when asked to "design an OpenAPI spec", "write a GraphQL schema", or "define the proto for this".
tonone-ai/tononeschema-recon
Audit existing API schemas across a codebase — find inconsistencies and coverage gaps. Use when asked to "audit our API schemas", "find schema inconsistencies", or "check spec coverage".
tonone-ai/tononeschema-review
Review an API schema for consistency, completeness, and developer ergonomics. Use when asked to "review this API schema", "is this spec consistent", or "assess schema ergonomics".
tonone-ai/tononescope-oss
Open source license compliance audit — flag GPL, LGPL, AGPL, copyleft risks. Use when asked to "check our open source licenses", "do we have GPL risk", or "run an OSS license audit".
tonone-ai/tononescope-recon
Survey project IP assets — trademarks, patents, OSS licenses, assignments. Use when asked to "survey our IP assets", "what trademarks do we hold", or "inventory our IP".
tonone-ai/tononescope-trademark
Trademark clearance research and filing preparation for a name or mark. Use when asked to "clear this trademark", "can we use this name", or "prepare a trademark filing".
tonone-ai/tononescore-compare
Compare two or more models statistically — significance testing and error analysis. Use when asked "which model is better", "is this improvement significant", or "compare model performance".
tonone-ai/tononescore-eval
Design an evaluation framework for a ML model — metrics, splits, and reporting. Use when asked "how should we evaluate this model", "design evaluation metrics", or "plan our train test split".
tonone-ai/tononescore-recon
Audit existing model evaluation code — find metric misuse, missing CIs, and evaluation leakage. Use when asked to "audit our model evaluation", "find metric misuse", or "check for evaluation leakage".
tonone-ai/tononeserv-cold
Diagnose and optimize Lambda/serverless cold start performance. Use when asked to "fix Lambda cold starts", "our functions are slow to start", or "reduce cold start latency".
tonone-ai/tononeserv-design
Design a serverless architecture for a workload — runtime selection, event wiring, and scaling config. Use when asked to "design a serverless architecture", "should this be a Lambda", or "wire up events for functions".
tonone-ai/tononeserv-recon
Audit existing serverless functions — find misconfigurations, cold start issues, and cost inefficiencies. Use when asked to "audit our serverless functions", "find function misconfigurations", or "check serverless cost issues".
tonone-ai/tononeshield-assess
Regulatory exposure assessment for a described product or geography. Use when asked "what is our regulatory exposure", "can we launch in the EU", or "assess compliance risk for this feature".
tonone-ai/tononeshield-recon
Survey product features and data flows for regulatory exposure. Use when asked to "survey our regulatory exposure", "map our data flows", or "what regulations apply to us".
tonone-ai/tononeshield-respond
Draft regulatory response letter or regulator communication. Use when asked to "respond to a regulator", "draft a regulator letter", or "reply to this inquiry".
tonone-ai/tononesiem-alert
Tune a SIEM alert — reduce false positives, add context, and improve analyst experience. Use when asked to "tune this alert", "we have too many false positives", or "improve alert quality".
tonone-ai/tononesiem-recon
Audit existing SIEM deployment — log coverage, rule quality, and alert volume. Use when asked to "audit our SIEM", "find log coverage gaps", or "our alert volume is too high".
tonone-ai/tononesiem-rule
Write SIEM detection rules for a threat or TTP — SIGMA format, MITRE mapping, and test cases. Use when asked to "write a SIGMA rule", "build a detection rule for this TTP", or "map a SIEM rule to MITRE".
tonone-ai/tononespine-api
Design and spec an API — endpoints, request/response shapes, error codes, auth pattern, pagination. Applies Stripe's consistency principles. Use when asked to "design an API", "build API endpoints", "create REST API", or "API for this feature".
tonone-ai/tononespine-design
Produce a system design doc — components, data flow, decisions made, tradeoffs, failure modes. Not a list of options. An actual design with calls made. Use when asked for "system design for", "architect this", "how should we build", or "design the backend".
tonone-ai/tononespine-perf
Find and fix performance bottlenecks — N+1 queries, missing indexes, sync bottlenecks, caching gaps. Use when asked "why is this slow", "performance issue", "optimize this endpoint", or "N+1 queries".
tonone-ai/tononespine-recon
Backend reconnaissance — map all routes, middleware, models, dependencies, auth, and assess code quality for project takeover. Use when asked to "understand this backend", "map the API", or "assess code quality".
tonone-ai/tononespine-review
API and backend code review — REST conventions, auth, validation, error handling, pagination, rate limiting, test coverage. Use when asked to "review this API", "code review", "review backend", or "pre-launch backend check".
tonone-ai/tononespine-service
Build a new production-ready service from scratch — config management, health checks, graceful shutdown, structured logging. Use when asked to "new service", "scaffold a backend", "bootstrap service", or "create microservice".
tonone-ai/tononespine-simplify
Post-feature clarity pass — collapse needless indirection, delete dead code, flatten nesting, surface duplicated logic, fix altitude mismatches. Behavior-preserving only. Use when asked to "simplify this", "clean up this code", "reduce complexity", "this feels over-engineered", or "tidy up after the feature".
tonone-ai/tononespine
Backend engineer — APIs, system design, performance, distributed systems, and service scaffolding. Use when asked to "design this API", "review backend code", "scaffold a service", or "fix a performance issue".
tonone-ai/tononesurge-activation
Use when asked to improve activation, map the growth funnel, identify growth levers, design a referral program, build a retention playbook, develop a PLG strategy, or find where to invest in growth. Examples: "how do we grow faster", "improve our activation rate", "design a referral program", "build a retention playbook", "what are our best growth levers", "map our growth funnel".
tonone-ai/tononesurge-experiment
Growth experiment design — structure a growth hypothesis, define metric, baseline, expected lift, and kill condition for a single experiment. Use when asked to "design a growth experiment", "test this growth idea", "experiment framework", "how do we test if this works", or "growth hypothesis".
tonone-ai/tononesurge-landing
Use when asked to design growth-optimized landing pages, activation funnel layouts, or experiment-friendly page structures. Examples: "growth-optimized landing", "activation funnel layout", "A/B testable page"
tonone-ai/tononesurge-plg
PLG motion design — free tier definition, activation sequence, expansion trigger points, viral mechanic assessment. Given a product, output the PLG architecture and make the calls. Use when asked to "PLG strategy", "freemium model", "product-led growth plan", "self-serve motion", "how do we add a free tier", "upgrade triggers", or "viral loop design".
tonone-ai/tononesurge-recon
Growth state reconnaissance — scan existing onboarding flows, acquisition channels, conversion funnels, and growth experiment logs to understand current growth state. Use when asked to "what's our growth state", "audit the funnel", "what growth experiments have we run", "acquisition channel inventory", or before designing new growth experiments.
tonone-ai/tononesurge-retention
Retention diagnosis + intervention plan — analyze the retention curve, identify the primary drop-off point, and produce a specific intervention plan with expected impact. Use when asked to "improve retention", "why are users churning", "build a retention playbook", "reduce churn", "win-back campaign", or "users aren't coming back".
tonone-ai/tononesurge
Growth engineer — acquisition channels, activation funnels, retention playbooks, and PLG strategy. Use when asked to "design an activation funnel", "plan a growth experiment", "build a PLG loop", or "improve retention".
tonone-ai/tononeterms-privacy
Draft a GDPR-compliant privacy policy for the described product and data flows. Use when asked to "write a privacy policy", "draft a GDPR privacy notice", or "we need a cookie policy".
tonone-ai/tononeterms-recon
Survey existing privacy and legal docs for completeness and GDPR compliance. Use when asked to "audit our privacy docs", "are we GDPR compliant on paper", or "what legal docs are missing".
tonone-ai/tononeterms-tos
Draft Terms of Service for the described product. Use when asked to "write Terms of Service", "draft our ToS", or "write a user agreement".
tonone-ai/tononeterra-drift
Design a Terraform drift detection and remediation workflow. Use when asked to "detect Terraform drift", "our state does not match reality", or "build a drift remediation workflow".
tonone-ai/tononeterra-module
Design a Terraform module structure — inputs, outputs, resource organization, and versioning. Use when asked to "design a Terraform module", "structure our IaC", or "set up module versioning".
tonone-ai/tononeterra-recon
Audit existing Terraform code — find state issues, security gaps, and module quality problems. Use when asked to "audit our Terraform", "find state management issues", or "check IaC security gaps".
tonone-ai/tononetoken-budget
Design token budgets — system/user/assistant allocation, overflow handling, context compression. Use when asked "we are blowing the context window", "design a token budget", or "handle context overflow".
tonone-ai/tononetoken-chunk
Design chunking strategies — semantic splitting, overlap tuning, retrieval-aware chunk sizing. Use when asked "how should we chunk documents", "what chunk size for retrieval", or "set up semantic splitting".
tonone-ai/tononetoken-compact
Plan a verbatim compaction of a Claude Code transcript — score every tool call and result, drop or elide the stale ones, keep the rest byte-for-byte. Use when asked to "compact the transcript", "what can we drop from context", "trim this session", or "shrink the context window without summarizing".
tonone-ai/tononetoken-recon
Audit token usage patterns — avg context size, waste, truncation frequency, budget adherence. Use when asked to "audit our token usage", "how often do we truncate", or "find context waste".
tonone-ai/tononetone-recon
Audit existing token usage in a codebase — find literal values, missing tokens, and pipeline gaps. Use when asked to "audit our design tokens", "find hardcoded values in the CSS", or "check our token pipeline".
tonone-ai/tononetone-theme
Build or fix a theming system — dark mode, multi-brand, or white-label token swap. Use when asked to "add dark mode", "set up multi-brand theming", or "white-label the UI".
tonone-ai/tononetone-token
Design or refactor a design token architecture — naming, tiers, and coverage. Use when asked to "design a token architecture", "fix token naming", or "refactor our tokens".
tonone-ai/tononetonone-onboard
First-run onboarding — detect what kind of project this is, recommend a four-agent roster instead of all 100, and print the one-line install command. Use when asked "how do I use tonone", "which agents do I need", "what can tonone do", "show me around", or "first steps".
tonone-ai/tononetouch-app
Produce a complete mobile app architecture design — platform choice, navigation structure, state management, data layer, key screens. Use when asked to "build a mobile app", "new app", "create iOS/Android app", "app architecture", or "cross-platform app".
tonone-ai/tononetouch-audit
Mobile audit — app size, startup time, crash reporting, store compliance, accessibility, offline behavior. Use when asked for "mobile review", "app store readiness", "mobile performance", or "crash analysis".
tonone-ai/tononetouch-feature
Produce a mobile feature spec — user story, technical approach, component breakdown, platform-specific considerations, edge cases. Use when asked to "add a screen", "spec this feature", "mobile feature", "new tab", "push notifications", or "deep link".
tonone-ai/tononetouch-recon
Mobile reconnaissance — understand the app's tech stack, architecture, dependencies, and health for takeover. Use when asked to "understand this app", "mobile assessment", or "app health".
tonone-ai/tononetouch-release
Set up mobile release pipeline — Fastlane, code signing, CI, beta distribution, versioning. Use when asked about "app store setup", "release pipeline", "fastlane", "beta distribution", or "signing".
tonone-ai/tononetouch-ui
Use when asked about mobile UI guidelines, touch targets, platform-specific UI rules, or mobile interaction patterns. Examples: "iOS touch targets", "Android UI guidelines", "mobile form design"
tonone-ai/tononetouch
Mobile engineer — native iOS/Android, cross-platform, app stores, mobile performance. Use when asked to "build a mobile feature", "fix app store issues", "audit mobile performance", or "release the app".
tonone-ai/tononetrace-debug
Debug AI system behavior using traces — prompt reconstruction, output comparison, failure attribution. Use when asked "why did the model output this", "debug this LLM failure", or "reconstruct the prompt".
tonone-ai/tononetrace-instrument
Instrument LLM calls with tracing — span structure, token counts, latency, model metadata. Use when asked to "add tracing to our LLM calls", "log prompts and completions", or "instrument token counts".
tonone-ai/tononetrace-recon
Audit LLM observability coverage — trace gaps, logging completeness, cost attribution accuracy. Use when asked to "audit our LLM observability", "find trace coverage gaps", or "check cost attribution accuracy".
tonone-ai/tononetune-finetune
Design a fine-tuning pipeline — PEFT config, dataset format, training loop, and evaluation. Use when asked to "fine-tune a model", "set up a LoRA config", or "should we fine-tune or prompt".
tonone-ai/tononetune-prompt
Systematically optimize prompts for a task — few-shot, chain-of-thought, structured output. Use when asked to "optimize this prompt", "add chain-of-thought", or "improve structured output".
tonone-ai/tononetune-recon
Audit existing fine-tuning or prompt engineering work — find quality gaps and optimization opportunities. Use when asked to "audit our fine-tuning work", "find prompt engineering gaps", or "look for optimization opportunities".
tonone-ai/tononevect-embed
Design an embedding pipeline — model selection, chunking, and indexing strategy. Use when asked to "build an embedding pipeline", "design chunking and indexing", or "which embedding model should we use".
tonone-ai/tononevect-recon
Audit existing vector search or RAG implementation — find quality gaps and performance issues. Use when asked to "audit our RAG system", "why is retrieval bad", or "find vector search quality gaps".
tonone-ai/tononevect-search
Design a vector search or RAG system — retrieval strategy, reranking, and database selection. Use when asked to "build a RAG system", "design vector search", or "which vector database should we use".
tonone-ai/tononevigil-alert
Write SLO-based alert rules with burn rate thresholds and paired runbooks. Outputs actual alert configs, not a strategy doc. Use when asked to "set up alerts", "create runbooks", "define SLOs", or "alerting strategy".
tonone-ai/tononevigil-check
Verify observability posture — audit monitoring coverage, find blind spots, prioritize gaps. Use when asked "is monitoring sufficient", "observability review", "are we covered", or "pre-launch monitoring check".
tonone-ai/tononevigil-incident
Incident response — diagnose production issues, find root cause, propose fix with rollback. Use when asked about "something is broken", "production issue", "why is this down", "incident", or "debug production".
tonone-ai/tononevigil-instrument
Instrument a service with OpenTelemetry — RED metrics, structured logs, distributed tracing, and health checks. Outputs actual code and config, not a plan. Use when asked to "add monitoring", "instrument this", "add logging", "set up tracing", or "observability".
tonone-ai/tononevigil-recon
Observability reconnaissance — inventory what monitoring exists, map coverage, highlight blind spots. Use when asked "what monitoring exists", "observability assessment", or "what can we see".
tonone-ai/tononevigil
Observability and reliability engineer — SLOs, alerting, instrumentation, and incident response. Use when asked to "set up alerting", "define SLOs", "write a runbook", or "review incident response".
tonone-ai/tononevolt-driver
Build a device driver or protocol handler — I2C sensors, BLE services, MQTT clients, SPI peripherals with interrupt-driven I/O and clean HAL abstraction. Use when asked to "write a driver", "I2C device", "BLE service", "MQTT client", or "sensor integration".
tonone-ai/tononevolt-firmware
Produce a complete firmware architecture spec for a described device — layer diagram, module responsibilities, HAL interface definitions, key state machines, RTOS decision. Use when asked to "design firmware architecture", "plan embedded firmware", "architect an IoT device", "how should I structure this firmware", or given a device description and asked what the firmware should look like.
tonone-ai/tononevolt-ota
Produce a complete OTA update system design — partition layout, update flow, rollback conditions, validation checks, fleet management approach, failure modes and recovery. Use when asked about "OTA updates", "firmware updates over the air", "how do I update devices in the field", "OTA strategy", or "remote firmware update design".
tonone-ai/tononevolt-power
Power management audit — analyze sleep modes, wake sources, power state machines, radio duty cycles, and battery life estimates. Use when asked to "audit power usage", "optimize battery life", "review power management", "why is my battery draining", "power budget analysis", or "sleep mode review".
tonone-ai/tononevolt-recon
Firmware reconnaissance for takeover — inventory the MCU, peripherals, RTOS, protocols, OTA, power management, and assess code quality with risk flags. Use when asked to "understand this firmware", "device inventory", or "embedded assessment".
tonone-ai/tononevolt
Embedded and IoT engineer — firmware, microcontrollers, OTA updates, device protocols. Use when asked to "write firmware", "design OTA updates", "pick a microcontroller", or "implement a device protocol".
tonone-ai/tononewarden-audit
Full security audit — secrets, dependencies, IAM, auth, injection, XSS, HTTPS, rate limiting, public storage. Use when asked for "security audit", "check for vulnerabilities", "security review", or "are we secure".
tonone-ai/tononewarden-harden
Produce a hardening spec and implement it — auth patterns, security headers, rate limiting, input validation, secrets management, dependency hygiene. Use when asked to "harden this", "add security to this service", "what security do I need", or "secure this before launch".
tonone-ai/tononewarden-iam
Build IAM from scratch — roles, policies, service accounts with least privilege. Use when asked to "set up IAM", "create roles", "service accounts", or "access control".
tonone-ai/tononewarden-recon
Security reconnaissance — full inventory of secrets management, IAM, dependencies, auth, encryption, audit logging, and compliance gaps. Use when asked about "security posture", "how secure is this", or "security assessment".
tonone-ai/tononewarden-scan
Automated SAST + dependency vulnerability scan. Runs Semgrep (code vulnerabilities) and pip-audit (CVE-matched dependencies) and writes a structured JSON report. Use when asked to "scan for vulnerabilities", "run a security scan", "check for CVEs", or "audit dependencies".
tonone-ai/tononewarden-threat
Produce a threat model — assets, ranked threats, mitigations, accepted risks. Use when asked to "threat model this", "what could go wrong security-wise", "map our attack surface", or before designing any security-sensitive feature.
tonone-ai/tononewarden
Security engineer — IAM, secrets, threat modeling, hardening, auth, and supply chain security. Use when asked to "review IAM", "harden this system", "manage secrets", or "audit supply chain security".
tonone-ai/tononewire-prototype
Document a prototype or user flow — screens, states, transitions, and annotations. Use when asked to "document this prototype", "map the screens and states", or "annotate this flow".
tonone-ai/tononewire-recon
Audit existing design documentation — find gaps in specs, missing states, and handoff debt. Use when asked to "audit our design docs", "find missing component states", or "assess handoff debt".
tonone-ai/tononewire-spec
Write a developer handoff spec for a component or feature — states, tokens, edge cases. Use when asked to "write a handoff spec", "spec this component for engineering", or "document component states".
tonone-ai/tononezero-audit
Audit an existing environment against zero trust principles — find implicit trust and over-privileged access. Use when asked to "audit against zero trust", "find implicit trust", or "find over-privileged access".
tonone-ai/tononezero-design
Design a zero trust architecture — phased roadmap, identity pillar, and network segmentation. Use when asked to "design a zero trust architecture", "build a zero trust roadmap", or "plan network microsegmentation".
tonone-ai/tononezero-recon
Survey existing network and identity controls for zero trust readiness. Use when asked "are we ready for zero trust", "survey our identity controls", or "assess our network segmentation".
tonone-ai/tonone