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LLM Wiki skill

Build and maintain a structured LLM-generated wiki for any codebase. Use when the user asks to analyze/understand/document a codebase, build a code wiki, create project documentation from source, or update an existing .llm-wiki. Triggers on phrases like "build wiki", "analyze this codebase", "document this project", "update wiki", "llm-wiki", or when entering an unfamiliar project that has no .llm-wiki yet.

$npx skills add staruhub/ClaudeSkills --skill llm-wiki
View this skill on GitHubstaruhub/ClaudeSkills/llm-wiki/SKILL.md
Pack stars
736
Pack installs
1.4k
Alyn Score
51/99
Updated
3 months ago
License
MIT
– views – installs via Alyn

Install LLM Wiki

Pick your agent. Every command is ready to paste.

$npx skills add staruhub/ClaudeSkills --skill llm-wiki

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads llm-wiki when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the llm-wiki skill”. In Codex, type $llm-wiki.

The skill itself

SKILL.md

FolderGitHub

LLM Wiki for Codebases

Build a persistent, interlinked markdown wiki that captures the architecture, modules, patterns, and APIs of a codebase. The wiki lives in .llm-wiki/ at the project root. Humans curate and direct; the LLM handles all bookkeeping.

Based on Andrej Karpathy's LLM Wiki pattern: raw sources are "compiled" into a structured wiki that compounds over time.

Mode Detection

Determine the mode based on current state:

  • No .llm-wiki/ directory exists -> Full Build mode
  • .llm-wiki/ exists -> Update mode (diff and refresh)

Full Build Workflow

Phase 1: Reconnaissance

  1. Read top-level files: README, package.json/Cargo.toml/go.mod/pyproject.toml/build.gradle etc.
  2. Run find or Glob to map the directory tree (ignore node_modules, .git, vendor, dist, build, pycache, .venv)
  3. Identify: language(s), framework(s), build system, entry point(s), test framework
  4. Count files per directory to gauge module boundaries
  5. Read CLAUDE.md / AGENTS.md / .cursor/rules if present - they contain valuable architectural context

Record findings in .llm-wiki/_schema.md (see references/wiki-schema.md for format).

Phase 2: Skeleton

Create the directory structure:

.llm-wiki/
  _schema.md          # Wiki conventions and project metadata
  _index.md           # Content-oriented catalog by category
  _log.md             # Chronological build/update log
  architecture/       # High-level design docs
  modules/            # Per-module deep dives
  concepts/           # Cross-cutting concepts (auth, caching, error handling...)
  apis/               # API surface docs (REST endpoints, CLI commands, exported functions)
  guides/             # How-to guides (setup, deployment, testing)

Phase 3: Core Articles

Write articles in priority order. See references/article-templates.md for templates.

Priority 1 - Architecture:

  • architecture/overview.md - System architecture, component diagram (ASCII), tech stack
  • architecture/data-flow.md - How data flows through the system
  • architecture/directory-structure.md - Annotated directory tree

Priority 2 - Modules:

  • One modules/<name>.md per major module/package/directory
  • Cover: purpose, key files, public interface, internal patterns, dependencies

Priority 3 - Concepts:

  • Cross-cutting concerns that span modules (auth, logging, error handling, state management, config)
  • One concepts/<name>.md per concept

Priority 4 - APIs:

  • External-facing API surfaces (REST routes, CLI commands, SDK exports)
  • One apis/<name>.md per API group

Priority 5 - Guides:

  • guides/setup.md - Dev environment setup
  • guides/testing.md - How to run and write tests
  • Other guides as relevant
  1. Build _index.md - organized by category with one-line descriptions and links
  2. Ensure every article has a ## See Also section linking to related articles
  3. Add backlinks: if A references B, B should reference A

Phase 5: Lint

Run a health check over the wiki:

  • Broken internal links (references to non-existent .md files)
  • Orphan pages (not linked from _index.md or any other page)
  • Missing coverage (directories/modules with no corresponding article)
  • Stale references (mentions of files/functions that don't exist in codebase)
  • Inconsistent terminology

Fix issues found. Log the lint run in _log.md.

Update Workflow

When .llm-wiki/ already exists:

  1. Read _schema.md to understand project metadata and conventions
  2. Read _log.md to see last update timestamp
  3. Detect changes since last wiki build:
    • git log --since="<last_update>" --name-status if git available
    • Otherwise, compare directory tree against architecture/directory-structure.md
  4. Triage changes:
    • New files/directories -> create new articles or update existing ones
    • Modified files -> re-read and update affected articles
    • Deleted files -> remove references, mark articles for cleanup
    • Renamed/moved files -> update paths in all referencing articles
  5. Update affected articles - re-read source, rewrite sections as needed
  6. Update _index.md if new articles added or old ones removed
  7. Run lint (same as Phase 5 above)
  8. Append to _log.md with timestamp, summary of changes

Writing Guidelines

  • Be factual: describe what the code does, not what it should do. Cite file paths and line ranges.
  • Use code snippets: short inline examples from actual source, not invented ones.
  • Link aggressively: every mention of another module/concept should be a markdown link to its article.
  • Keep articles focused: one topic per article, 100-500 lines. Split if longer.
  • Frontmatter: every article starts with a YAML frontmatter block:
    ---
    title: Module Name
    updated: 2026-04-09
    sources:
      - src/module/index.ts
      - src/module/utils.ts
    ---
    
  • ASCII diagrams over external images - they live in version control and render anywhere.
  • Language: match the project's primary language. If the codebase comments are in English, write in English. If Chinese, write in Chinese.

Agent Coordination

For large codebases (>500 source files), consider dispatching parallel agents:

  • Agent per top-level module to write module articles concurrently
  • One agent for architecture overview after modules are documented
  • One agent for cross-linking and lint

Gitignore

Add .llm-wiki/ to .gitignore only if the user prefers it. By default, the wiki is intended to be committed alongside the code so the team benefits.

Key Principles (from Karpathy)

  1. The wiki is the LLM's domain - humans rarely edit it directly
  2. Knowledge compounds - each query and exploration enriches the wiki
  3. Index files are critical - _index.md enables the LLM to navigate efficiently
  4. Lint regularly - catch rot before it spreads
  5. Log everything - _log.md provides temporal context for future updates

Tips for LLM Wiki

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • It bundles reference files. The agent reads them only when needed, so they cost no context until then.
  • • It is part of a pack with 20 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about LLM Wiki

What does the LLM Wiki skill do?

Build and maintain a structured LLM-generated wiki for any codebase. Use when the user asks to analyze/understand/document a codebase, build a code wiki, create project documentation from source, or update an existing .llm-wiki. Triggers on phrases like "build wiki", "analyze this codebase", "document this project", "update wiki", "llm-wiki", or when entering an unfamiliar project that has no .llm-wiki yet.

How do I install LLM Wiki?

Run "npx skills add staruhub/ClaudeSkills --skill llm-wiki" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does LLM Wiki work in Cursor and Codex?

Yes. LLM Wiki uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is LLM Wiki free?

LLM Wiki is open source on GitHub under the MIT license. It is free to install; check the license before commercial use.

Who made LLM Wiki?

LLM Wiki is published by staruhub in the staruhub/ClaudeSkills repository, together with 19 other skills.

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