AI Agent 本地与技能库管理合集
开发软件并管理经过整理的团队技能库。
作者完整本地技能组结合后端、数据库、文档、研究和验证指导，以及技能发现、整理、共享、审查、更新和迁移。
适用场景
- 开展后端或文档开发与审查
- 创建并整理团队技能库
- 更新审查或迁移已安装技能
使用方法
通过上游命令行或交互界面维护技能库并安装本地技能。独立上游目录指向外部仓库，不属于这个本地技能包。
Skills
ask-questions-if-underspecified
Clarify requirements before implementing. Do not use automatically, only when invoked explicitly.
moizibnyousaf/ai-agent-skillsaudit-library-health
Use when checking the overall health of a skills library. Run doctor, validate, check for stale skills, and verify generated docs are in sync.
moizibnyousaf/ai-agent-skillsbackend-development
Backend API design, database architecture, microservices patterns, and test-driven development. Use for designing APIs, database schemas, or backend system architecture.
moizibnyousaf/ai-agent-skillsbest-practices
Transforms vague prompts into optimized Claude Code prompts. Adds verification, specific context, constraints, and proper phasing. Invoke with /best-practices.
moizibnyousaf/ai-agent-skillsbrowse-and-evaluate
Use when exploring the ai-agent-skills catalog to find, compare, and evaluate skills before installing. Always use --fields to limit output size and --dry-run before committing to an install.
moizibnyousaf/ai-agent-skillsbuild-workspace-docs
Use when regenerating README.md and WORK_AREAS.md in a managed library workspace. Always dry-run first to preview changes.
moizibnyousaf/ai-agent-skillschangelog-generator
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
moizibnyousaf/ai-agent-skillscode-documentation
Writing effective code documentation - API docs, README files, inline comments, and technical guides. Use for documenting codebases, APIs, or writing developer guides.
moizibnyousaf/ai-agent-skillscontent-research-writer
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
moizibnyousaf/ai-agent-skillscurate-a-team-library
Use when building a managed team skills library for a real stack. Map work to shelves, browse before curating, write meaningful `whyHere` notes, and create a starter pack once the first pass is solid.
moizibnyousaf/ai-agent-skillsdatabase-design
Database schema design, optimization, and migration patterns for PostgreSQL, MySQL, and NoSQL databases. Use for designing schemas, writing migrations, or optimizing queries.
moizibnyousaf/ai-agent-skillsinstall-from-remote-library
Use when installing skills from a shared ai-agent-skills library repo. Inspect with `--list` first, prefer `--collection`, and preview with `--dry-run` before installing.
moizibnyousaf/ai-agent-skillsllm-application-dev
Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.
moizibnyousaf/ai-agent-skillsmigrate-skills-between-libraries
Use when moving skills between library workspaces or upgrading from a personal library to a team library. Export from one workspace, import into another.
moizibnyousaf/ai-agent-skillsreview-a-skill
Use when evaluating whether a skill belongs in a library. Preview content, check frontmatter, validate structure, and decide whether to keep, curate, or remove.
moizibnyousaf/ai-agent-skillsshare-a-library
Use when a managed library is ready to publish to GitHub and hand to teammates as an install command. Run the GitHub publishing steps, then return the exact shareable install command.
moizibnyousaf/ai-agent-skillsupdate-installed-skills
Use when syncing or updating previously installed skills to their latest version. Always dry-run updates before applying, and check for breaking changes.
moizibnyousaf/ai-agent-skillsverification-agent
Verify claims, quotations, citations and references against live primary sources, and produce a reproducible audit record instead of an assertion. Use when asked to: check whether a quotation, verse, statistic, date, attribution or citation is accurate; verify references before publishing a report, thesis, article, slide deck or legal filing; confirm a text against an authoritative database; cross-check a claim across independent sources; build a citation register or verification appendix; find out whether two datasets agree; detect a misattributed or fabricated quotation; or audit a document's existing citations. Source-agnostic by design, with working providers for REST/JSON APIs, scraped HTML, bulk corpora, bibliographic catalogues (OpenLibrary), DOI resolution (Crossref) and reference works (Wikipedia) -- including scriptural tiers (Qur'an.com, sunnah.com and an independent hadith corpus) with full diacritic handling for Arabic, Hebrew, Greek and any script with optional marks. Covers content-addressed matching when sources disagree on numbering, graded match verdicts, byte-level integrity checks, published-string verification, and a catalogue of silent failure modes (identifier divergence, mojibake, scraper blocking, false-positive keyword rules, missing glyphs, unreliable PDF text layers).
moizibnyousaf/ai-agent-skills