- name
- understand-knowledge
- description
- Analyze a Karpathy-pattern LLM wiki knowledge base and generate an interactive knowledge graph with entity extraction, implicit relationships, and topic clustering.
- argument-hint
- [wiki-directory]
/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
-
Determine the target directory:
- If the user provided a path argument, use that
- Otherwise, use the current working directory
- Resolve the data directory
$UA_DIRonce, and reuse it for every read and write below:UA_DIR="<TARGET_DIR>/$([ -d "<TARGET_DIR>/.understand-anything" ] && echo .understand-anything || echo .ua)"— this selects the legacy.understand-anything/when it already exists, otherwise the new.ua/.
-
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 explain what was expected
- If successful, proceed. The script writes
scan-manifest.jsonto$UA_DIR/intermediate/
-
Read the scan-manifest.json and announce the results:
- "Detected Karpathy wiki: N articles, N sources, N topics, N wikilinks (N unresolved)"