plan-to-study

Learning layer for AI-assisted development. Teaches concepts before you build, tracks knowledge with spaced repetition, analyzes project architecture, and conducts system design conversations with integrated teaching.

A personal AI tutor based on Bloom's 2-sigma research: it generates a structured syllabus, teaches one adaptive lesson at a time, and tailors each next lesson to the learner's highlights and feedback. Bundles the bloom-tutor tutoring skill plus six learn-* learning-method skills.

PM 코치 - 업무 소통 최적화. 요청/수신/보고 세 가지 모드로 명확한 소통 지원. 두서없는 지시를 구조화된 업무 정의서로 변환.

Interactive learning companion — creates personalized learning plans, quizzes with adaptive difficulty, and tracks progress across sessions

Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.

Build and maintain an LLM-curated personal knowledge base in your project — Andrej Karpathy's LLM Wiki pattern, designed to scale to thousands of pages without becoming a context bottleneck. Now with an optional compiled graph layer for typed, provenance-backed relationships.