understand-knowledge

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Analyze a Karpathy-pattern LLM wiki knowledge base and generate an interactive knowledge graph with entity extraction, implicit relationships, and topic clustering.

AI & Automation 76,509 stars 6394 forks Updated 2 days ago MIT

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Skill Content

# /understand-knowledge Analyzes a Karpathy-pattern LLM wiki — a three-layer knowledge base with raw sources, wiki markdown, and a schema file — and produces an interactive knowledge graph dashboard. ## What It Detects The **Karpathy LLM wiki pattern** (see https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f): - **Raw sources** — immutable source documents (articles, papers, data files) - **Wiki** — LLM-generated markdown files with wikilinks (`[[target]]` syntax) - **Schema** — CLAUDE.md, AGENTS.md, or similar configuration file - **index.md** — content catalog organized by categories - **log.md** — chronological operation log Detection signals: has `index.md` + multiple `.md` files with wikilinks. May have `raw/` directory and schema file. ## Instructions ### Phase 1: DETECT 1. Determine the target directory: - If the user provided a path argument, use that - Otherwise, use the current working directory - **Resolve the data directory `$UA_DIR`** once, and reuse it for every read and write below: `UA_DIR="<TARGET_DIR>/$([ -d "<TARGET_DIR>/.understand-anything" ] && echo .understand-anything || echo .ua)"` — this selects the legacy `.understand-anything/` when it already exists, otherwise the new `.ua/`. 2. Run the format detection script bundled with this skill: ``` python3 "<SKILL_DIR>/parse-knowledge-base.py" "<TARGET_DIR>" ``` - If the script exits with an error, tell the user this doesn't appear to be a Karpathy-pattern wiki and...

Details

Author
Egonex-AI
Repository
Egonex-AI/Understand-Anything
Created
4 months ago
Last Updated
2 days ago
Language
TypeScript
License
MIT

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