claude-skills/docs/skills/engineering/llm-wiki.md
Claude 6524d93478
fix(docs): render orphan sub-skills (recover 79 missing skill pages)
generate-docs.py had a longstanding bug: the rendering loop only iterated
top-level skills and only rendered their direct children. Sub-skills whose
parent is a plugin folder (not a top-level skill at <domain>/skills/<name>/)
were silently dropped.

Affected plugins (standalone-only, no bundled mirror at <domain>/skills/):
- executive-mentor (1 index + 5 sub-skills)
- agenthub (1 index + 7 sub-skills)
- autoresearch-agent (1 index + 5 sub-skills)
- playwright-pro (1 index + 9 sub-skills)
- self-improving-agent (1 index + 5 sub-skills)
- c-level-agents (1 index + 17 sub-skills — the new /cs:* commands)
- llm-wiki (1 index + sub-skills)
- behuman, code-tour, demo-video, helm-chart-builder, karpathy-coder,
  llm-cost-optimizer, prompt-governance, statistical-analyst, terraform-patterns,
  data-quality-auditor, docker-development (single-skill plugins)

Total: 79 sub-skills + 12 plugin-index skills = 91 pages were being dropped.
(Some plugins like behuman are single-skill so only their index is dropped.)

The bug: rendering loop at line 414 only handled `for skill in top_level`,
then for each top-level found `children = [s for s in sub_skills if
s["parent"] == skill["name"]]`. Plugins where the SKILL.md lives only at
<plugin>/skills/<plugin>/SKILL.md don't appear in top_level (their detection
puts them in sub_skills with parent=themselves), so their children were
orphaned.

The fix: after the existing top-level loop, render orphan sub-skills grouped
by their plugin parent. Index sub-skill (named same as parent) renders as
<parent>.md; other children render as <parent>-<child>.md. This matches the
URL convention already in use (e.g., executive-mentor-challenge.md), so
existing SEO equity is preserved.

Result: skill pages generated 193 → 272 (+79 recovered). Total docs pages
280 → 359. mkdocs build succeeds.

Verified:
- All 12 previously-dropped plugins render their index page
- All 79 previously-dropped sub-skills render their detail pages
- URL convention preserved (executive-mentor-challenge.md, agenthub-board.md,
  playwright-pro-coverage.md, etc.)
- karpathy diff_surgeon: 0 findings

After dev → main release: GitHub Pages redeploys with the recovered 79 pages.
The docs site finally has 1:1 correspondence between SKILL.md files in the
repo and pages on the site.

https://claude.ai/code/session_012WtZMm5NJHqkYoRqA9fHMN
2026-05-13 12:49:00 +00:00

10 KiB

title description
LLM Wiki — Second Brain for Claude Code + Obsidian — Agent Skill for Codex & OpenClaw Use when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates. Agent skill for Claude Code, Codex CLI, Gemini CLI, OpenClaw.

LLM Wiki — Second Brain for Claude Code + Obsidian

:material-rocket-launch: Engineering - POWERFUL :material-identifier: `llm-wiki` :material-github: Source
Install: claude /plugin install engineering-advanced-skills

Inspired by Andrej Karpathy's LLM Wiki pattern (gist). This skill turns Claude Code (or any agent CLI) into a disciplined wiki maintainer that incrementally builds and maintains a persistent, interlinked Obsidian vault as you feed it sources. The knowledge compounds — cross-references, contradictions, and synthesis are already there when you query.

Core principle

Most LLM+docs workflows are RAG: retrieve fragments at query time, synthesize from scratch, forget. The wiki is compounding: sources are read once, integrated into a persistent markdown knowledge base, and kept current. You curate and ask; the LLM reads, files, cross-references, and maintains.

Obsidian is the IDE. The LLM is the programmer. The wiki is the codebase.

When to use

  • Personal: track goals, health, psychology, journaling, self-improvement
  • Research: deep dives over weeks on a topic — papers, articles, reports, evolving thesis
  • Book companion: file chapters as you read; build a fan-wiki-style companion for characters, themes, plot threads
  • Business/team: internal wiki fed by Slack, meeting notes, calls — LLM does maintenance nobody else wants to do
  • Competitive analysis, due diligence, trip planning, course notes, hobby deep-dives

Do NOT use when: you need one-shot Q&A over a fixed document (use RAG), you don't plan to add sources over time, or you don't want Obsidian in the loop.

Architecture (three layers)

vault/
├── raw/                    # Layer 1 — IMMUTABLE source of truth
│   ├── <source files>      # Articles, papers, PDFs, images, data
│   └── assets/             # Downloaded images from clipped articles
├── wiki/                   # Layer 2 — LLM-owned knowledge base
│   ├── index.md            # Content catalog (LLM updates every ingest)
│   ├── log.md              # Append-only timeline (## [YYYY-MM-DD] <op> | <title>)
│   ├── entities/           # Person/Org/Place pages
│   ├── concepts/           # Ideas, theories, frameworks
│   ├── sources/            # One summary page per ingested source
│   ├── comparisons/        # Cross-source analysis pages
│   └── synthesis/          # High-level syntheses, theses, overviews
├── CLAUDE.md               # Schema + conventions (Claude Code)
└── AGENTS.md               # Same content, for Codex/Cursor/Antigravity
  • Layer 1 (raw/) — you own. LLM only reads; never writes.
  • Layer 2 (wiki/) — LLM owns. It creates, updates, and cross-references pages. You read it.
  • Layer 3 (CLAUDE.md / AGENTS.md) — the schema. Conventions, workflows, frontmatter rules. Co-evolved by you and the LLM.

Three core operations

  1. Ingest — LLM reads a source, discusses takeaways with you, writes a source summary, updates 10-15 relevant pages, updates index, appends to log. See references/ingest-workflow.md.
  2. Query — LLM reads index.md first, drills into relevant pages, synthesizes with citations. Good answers get filed back into the wiki so explorations compound. See references/query-workflow.md.
  3. Lint — Health check: contradictions, stale claims, orphan pages, missing cross-refs, concepts mentioned but lacking their own page, data gaps to fill with web search. See references/lint-workflow.md.

Quick start

# 1. Initialize a vault (in Obsidian's vault directory)
python scripts/init_vault.py --path ~/vaults/research --topic "LLM interpretability"

# 2. Drop a source into raw/, then ingest
/wiki-ingest ~/vaults/research/raw/anthropic-monosemanticity.pdf

# 3. Ask questions (answers can be re-filed into the wiki)
/wiki-query "how does monosemanticity compare to mechanistic interpretability?"

# 4. Periodic health check
/wiki-lint

# 5. See the timeline
/wiki-log --last 10

Slash commands (this plugin ships)

Command Purpose
/wiki-init Bootstrap a fresh vault with schema files + starter structure
/wiki-ingest <path> Read a source, discuss, update wiki, log it
/wiki-query <question> Search wiki, synthesize answer, offer to file back
/wiki-lint Run health check — contradictions, orphans, stale claims, gaps
/wiki-log Show recent log entries (uses unix tools on log.md)

Sub-agents (this plugin ships)

Agent When dispatched
wiki-ingestor Delegated ingest flow — reads source, proposes updates, applies after your approval
wiki-linter Runs the health-check workflow independently, reports findings
wiki-librarian Answers queries using index-first search, synthesizes with citations

Python tools (scripts/)

All tools are standard library only (no pip installs). Run with python scripts/<tool>.py --help.

Script Purpose
init_vault.py Create folder structure + seed CLAUDE.md, AGENTS.md, index.md, log.md
ingest_source.py Helper: extract text/frontmatter from a source file, ready for LLM review
update_index.py Regenerate index.md from wiki page frontmatter (category, date, source count)
append_log.py Append a standardized log entry ## [YYYY-MM-DD] <op> | <title>
wiki_search.py BM25 search over wiki pages (standalone fallback when index.md isn't enough)
lint_wiki.py Find orphans (no inbound links), stale pages, missing cross-refs, broken links
graph_analyzer.py Compute link graph stats — hubs, orphans, clusters, disconnected components
export_marp.py Render a wiki page (or subtree) to a Marp slide deck

Cross-tool compatibility

The vault's schema lives in CLAUDE.md (Claude Code) or AGENTS.md (Codex/Cursor/Antigravity/OpenCode). The same content works in both. This plugin ships both templates. For per-tool setup instructions see references/cross-tool-setup.md.

CLAUDE.md       → Claude Code
AGENTS.md       → Codex CLI, Cursor, Antigravity, OpenCode, Gemini CLI
.cursorrules    → legacy Cursor (pre-AGENTS.md)

The scripts are pure Python stdlib → run identically everywhere. Only the loader file changes per tool.

  • Obsidian Web Clipper — browser extension; converts web articles to markdown and drops them in raw/
  • Download images locally — Settings → Files and links → Attachment folder path = raw/assets/. Settings → Hotkeys → bind "Download attachments for current file" to Ctrl+Shift+D
  • Graph view — see hubs/orphans; essential for spotting structural problems
  • Marp plugin — Markdown-based slide decks directly from wiki pages
  • Dataview plugin — dynamic tables/lists over page frontmatter (tags, dates, source counts)
  • Git — the vault is a plain markdown repo; version it

Full setup walkthrough: references/obsidian-setup.md

Why this works (vs plain RAG)

Plain RAG LLM Wiki
Rediscover knowledge each query Knowledge accumulates
Cross-references re-computed every time Cross-references pre-written and maintained
Contradictions surface only if you ask Contradictions flagged during ingest
Exploration disappears into chat history Good answers re-filed as new pages
Scales by embeddings infrastructure Scales by markdown + index.md + optional local search

At ~100 sources / hundreds of pages, index.md + filesystem search is enough. Past that, layer in a local search tool like qmd or use scripts/wiki_search.py.

This skill is marked context: fork so other skills can chain into it:

  • para-memory-files — PARA-method memory; complementary as long-term personal memory that feeds sources into the wiki
  • obsidian-vault (mattpocock) — lightweight Obsidian note helper; this skill is the maintained-wiki layer on top
  • rag-design — when wiki outgrows ~500 pages, use rag-design to bolt on a retrieval layer
  • mcp-design — expose the wiki as an MCP tool
  • agent-communication — for multi-agent wiki maintenance (ingestor + linter + librarian)

Reference docs

  • references/wiki-schema.md — full vault layout, page frontmatter, naming conventions
  • references/page-formats.md — entity, concept, source, comparison, synthesis templates
  • references/ingest-workflow.md — the detailed ingest flow the wiki-ingestor agent follows
  • references/query-workflow.md — query patterns, citation format, re-filing answers
  • references/lint-workflow.md — health-check heuristics
  • references/obsidian-setup.md — Obsidian plugins, hotkeys, vault config
  • references/cross-tool-setup.md — per-tool setup (Codex, Cursor, Antigravity, etc.)
  • references/memex-principles.md — Bush's Memex, why the LLM changes the maintenance math

Templates (assets/)

  • CLAUDE.md.template, AGENTS.md.template, .cursorrules.template — schema loaders per tool
  • index.md.template, log.md.template — starter index and log
  • page-templates/ — entity, concept, source-summary, comparison, synthesis
  • example-vault/ — small worked example you can study or copy

Iron rule

The LLM never edits files in raw/. Ever. Sources are immutable. All LLM writes go to wiki/. If you need to correct a source, do it in raw/ yourself — then re-ingest.