Agent skill · AI & Agents

understand-knowledge

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

Egonex-AIgithub.com/Egonex-AIGitHub ↗
claude-codecodexships scriptsMIT
Install
npx skills add Egonex-AI/Understand-Anything --skill understand-knowledge --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 6 KB
Bundled scripts: yes
Path: understand-anything-plugin/skills/understand-knowledge/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 77,447
Language: TypeScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# /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 alre

What's inside
Steps it walks through
  1. What It Detects
  2. Instructions
  3. Phase 1: DETECT
  4. Phase 2: SCAN (already done)
  5. Phase 3: ANALYZE
  6. Phase 4: MERGE
  7. Phase 5: SAVE
  8. Notes
Ships with 2 files
  • merge-knowledge-graph.py
  • parse-knowledge-base.py
Commands it runs
if [ -n "$TARGET_DIR" ] && [ -d "$UA_DIR/intermediate" ]; then
rm -rf "$UA_DIR/intermediate"
fi
More from Understand-Anything
All skills →
About this skill
What does the understand-knowledge skill do?

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

How do I install it?

Run `npx skills add Egonex-AI/Understand-Anything --skill understand-knowledge --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From Egonex-AI/Understand-Anything, a repository with 77,447 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going