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
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
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
- 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. - Query — LLM reads
index.mdfirst, drills into relevant pages, synthesizes with citations. Good answers get filed back into the wiki so explorations compound. Seereferences/query-workflow.md. - 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 setup (recommended)
- 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" toCtrl+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.
Related skills (chains via context: fork)
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 wikiobsidian-vault(mattpocock) — lightweight Obsidian note helper; this skill is the maintained-wiki layer on toprag-design— when wiki outgrows ~500 pages, use rag-design to bolt on a retrieval layermcp-design— expose the wiki as an MCP toolagent-communication— for multi-agent wiki maintenance (ingestor + linter + librarian)
Reference docs
references/wiki-schema.md— full vault layout, page frontmatter, naming conventionsreferences/page-formats.md— entity, concept, source, comparison, synthesis templatesreferences/ingest-workflow.md— the detailed ingest flow the wiki-ingestor agent followsreferences/query-workflow.md— query patterns, citation format, re-filing answersreferences/lint-workflow.md— health-check heuristicsreferences/obsidian-setup.md— Obsidian plugins, hotkeys, vault configreferences/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 toolindex.md.template,log.md.template— starter index and logpage-templates/— entity, concept, source-summary, comparison, synthesisexample-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.