DAIR Academy Plugins
Build learning artifacts, research wikis, and AI study workflows with DAIR Academy’s plugins.
The marketplace includes tutoring, courses, survey papers, YouTube notes, research wikis, images, model councils, and X intelligence feeds. Its plugins connect standalone learning artifacts with specialist model and source services.
Use cases
- Turn a talk into study notes
- Build a course or research survey
- Maintain a reusable research wiki
How to use
Add the DAIR Academy marketplace and install the relevant plugin. Follow its service setup: image work uses Gemini, model councils and surveys use Fireworks AI, and X feeds use the official X MCP server.
Skills
image-generator
Generate and edit images using Gemini's Nano Banana Pro model (gemini-3-pro-image-preview). Use this skill when the user asks you to generate images, create visuals, edit photos, create logos, generate product mockups, or perform any image generation/editing task.
dair-ai/dair-academy-pluginslearn
Help a user learn a topic through adaptive tutoring, lesson planning, practice, retrieval checks, explanations, study guides, or exercises. Use when the user asks to learn, understand, practice, drill, review, study, or be tutored on something.
dair-ai/dair-academy-pluginslesson-generator
Build compact, standalone multi-lesson course artifacts with lesson navigation, objectives, flashcards, quizzes, and source links.
dair-ai/dair-academy-pluginsllm-council
Orchestrate multiple open-weight LLMs via Fireworks AI to deliberate on queries. Models respond individually, rank each other's responses, then a Chairman synthesizes the final answer. Use this skill when the user wants multiple AI perspectives, consensus-building, or the "LLM Council" approach inspired by Karpathy. Powered by fast, affordable open-weight models on Fireworks.
dair-ai/dair-academy-pluginssurvey-generator
Generate a polished, single-file HTML survey paper on any AI/ML topic by curating a research bundle from a public anchor resource and handing it to Kimi K2.6 via the Fireworks API for one-shot artifact generation. Use when the user asks for a "survey paper" or "literature review" artifact on a technical topic. The invoking agent does all research curation; Kimi K2.6 does the writing and inline SVG rendering.
dair-ai/dair-academy-pluginswiki-builder
Start, structure, grow, query, and maintain reusable research wikis. Use when the user wants to create a new wiki, add sources to an existing wiki, compile source material into wiki pages, customize wiki structure or flavor, generate research maps, update indexes, or maintain knowledge bases for papers, topics, projects, products, people, organizations, or ongoing research areas.
dair-ai/dair-academy-pluginsx-agent-intelligence
Build or refresh a readable local AI and agent intelligence feed from the official X MCP server. Use when the user asks for an X-based digest, monitoring dashboard, daily AI feed, source-account timeline, or a self-contained HTML artifact backed by X posts.
dair-ai/dair-academy-pluginsyoutube-notetaker
Turn any YouTube talk into a studyable, interactive deep-dive stored as plain markdown: extract slide images at their timestamps, build a clean [HH:MM:SS] transcript, write editable notes, and save everything as one markdown file per video in a local library folder. A bundled zero-dependency server (serve.py) renders the whole library as a single-page artifact (front-page index + per-video split pane: slide deck + embedded player + searchable transcript) with notes that save back to the markdown files. Fully self-contained: no external services, configurable library path. Use when the user gives a YouTube URL and wants to study a talk, capture slides, take timestamped notes, or build a talk library. Triggers on: "deep-dive this talk", "extract slides from this video", "add this YouTube video to my study library", "take notes on this talk", followed by a YouTube URL.
dair-ai/dair-academy-plugins