Skill-Anything transforms diverse sources—PDFs, videos, web pages, audio, and code repositories—into interactive learning packages and AI-compatible skills. It targets users needing efficient knowledge synthesis and active recall, offering automated study material generation and AI agent integration to combat passive learning and improve knowledge retention.

How It Works

Skill-Anything processes inputs (PDF, video, web, audio, repos) into a structured 12-section "study pack" (notes, quizzes, flashcards) available as Markdown and YAML. Optionally, it exports this pack as a SKILL.md directory for AI tools like Claude Code, Cursor, and Codex. This dual output facilitates both human learning and AI agent knowledge integration. LLM-powered generation is default; rule-based fallback offers lower quality.

Quick Start & Requirements

• Installation:
  • Local/Development: git clone https://github.com/SYuan03/Skill-Anything.git && cd Skill-Anything && pip install -e ".[all,dev]"
  • PyPI: pip install skill-anything[all] (or specific extras like [pdf], [video]).
• Prerequisites: Python environment. An OpenAI-compatible LLM API key (SKILL_ANYTHING_API_KEY, SKILL_ANYTHING_API_BASE) is recommended for optimal quality; fallback to rule-based generation is available. Optional dependencies for PDF, video, web, and audio processing can be installed via extras.
• Configuration: Set LLM API key and base URL via .env file or environment variables.
• Links: Interactive Demo

Highlighted Details

• Versatile Source Ingestion: Processes PDFs, videos (YouTube URLs, local files with subtitles), webpages, audio files, text/Markdown files, and code repositories (local or GitHub).
• Comprehensive Study Packs: Generates a 12-section Markdown study guide including summary, concept map, detailed notes, glossary, cheat sheet, takeaways, quizzes (6 types), flashcards, exercises, and a learning path.
• AI Skill Export: Creates SKILL.md formatted directories for AI agents like Claude Code, Cursor, and Codex, enabling knowledge integration into AI workflows.
• Interactive Learning: Supports direct CLI interaction for taking quizzes (sa quiz) with grading and engaging in spaced repetition flashcard reviews (sa review).

Maintenance & Community

No specific details on maintainers, sponsorships, or community channels (like Discord/Slack) are provided in the README.

Licensing & Compatibility

• License: MIT License.
• Compatibility: Permissive license allowing free use, modification, and distribution, suitable for commercial use and integration into closed-source projects.

Limitations & Caveats

Reduced content quality occurs without an LLM API key, falling back to rule-based generation. Concept map generation requires an image generation API and will be skipped if unavailable. Local video processing necessitates accompanying subtitle files (.srt, .vtt).