Skip to content

anh-chu/llm-wiki-pm

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

51 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

llm-wiki-pm

License: MIT Release Claude Code Stars

A Claude Code skill that turns your PM work into a persistent, compounding knowledge base. Ingest meetings, analyst reports, and strategy docs. Query across months of context. Let the agent handle the bookkeeping.

Based on Andrej Karpathy's LLM Wiki pattern, tuned for product management: competitive intel, customer notes, strategy, roadmap, AI market tracking.

Why

Most PM work today spreads across Slack threads, meeting transcripts, analyst PDFs, and one-off notes. RAG tools like NotebookLM retrieve from raw sources each query, so knowledge never compounds. Personal wikis fail because the bookkeeping overhead outgrows the value.

This skill gives you the middle path: you curate sources, the agent maintains an interlinked markdown wiki that stays current. Every ingest touches 5-15 pages. Every query cites specific wiki entries. The wiki compounds.

What you get

  • Three-layer architecture: immutable raw/ sources, agent-owned wiki pages, and SCHEMA.md governing structure
  • Ingest / query / update / lint / archive flows with discipline guardrails
  • Supersession with auto-redirect of inbound links
  • Crystallize pattern: transcripts become structured decision digests
  • Privacy-first: pre-ingest filter + private: frontmatter flag
  • qmd search: BM25 + vector + LLM rerank over your whole wiki
  • Obsidian-compatible: works as a vault out of the box
  • Next.js embed path for platform deployments

Install

Option A: Claude Code plugin (recommended)

claude plugin marketplace add anh-chu/llm-wiki-pm
claude plugin install llm-wiki-pm@anh-chu-plugins

Option B: Symlink from a clone

git clone https://github.com/anh-chu/llm-wiki-pm ~/llm-wiki-pm
mkdir -p ~/.claude/skills
ln -s ~/llm-wiki-pm/skills/llm-wiki-pm ~/.claude/skills/llm-wiki-pm

The symlink makes the skill available to Claude Code but does not install the plugin. Without the plugin, the SessionStart health-check hook and the PostToolUse link-check hook do not run, and the wiki is not auto-scaffolded. For hook automation and auto-scaffold, also install the plugin:

claude plugin install llm-wiki-pm@anh-chu-plugins

Then: start Claude Code

Restart Claude Code after enabling the plugin. You will be prompted for your wiki path and domain. The SessionStart hook creates the wiki directory on the first session start.

If you used Option B without installing the plugin, set WIKI_PATH before starting Claude Code:

echo 'export WIKI_PATH=$HOME/pm-wiki' >> ~/.bashrc && source ~/.bashrc

Full setup, including qmd search and mobile Obsidian sync, in GETTING_STARTED.md.

How it compares

llm-wiki-pm kfchou/wiki-skills lewislulu/llm-wiki-skill lucasastorian/llmwiki NotebookLM
Shape Single skill 5 skills Skill + plugin + server Full web app SaaS
Storage Plain markdown Plain markdown Plain markdown Supabase + S3 Cloud
Search qmd (BM25+vector+rerank) + backlinks grep + index grep + index PGroonga Proprietary
Update discipline Diffs + supersession fields + auto-link rewrite Diffs + source cite Human-in-loop audit None explicit N/A
Privacy Pre-ingest filter + private: flag None None User-scoped SaaS ToS
Transcript support crystallize flow (decisions + actions) Generic ingest Generic ingest Generic ingest Source-only
Install target Claude Code Claude Code OpenClaw / Codex Self-host web SaaS
Ops burden None (local files) None Obsidian plugin + Node server Supabase + S3 + OCR Zero
Scales to 1000+ pages Yes (qmd) Degrades Degrades Yes Yes
PM-tuned taxonomy Yes (competitive, customer, strategy, roadmap, ai) No No No No

For a deeper breakdown of which Karpathy and Rohit v2 ideas this implements, see the design notes below.

Target users

Good fit if you:

  • Work as a PM, analyst, researcher, or founder with lots of meetings and reports
  • Want a local-first, markdown-based knowledge base that you own
  • Use Claude Code as your primary agent
  • Are comfortable on a terminal (you'll occasionally run lint.py)

Not a fit if you:

  • Want a zero-terminal SaaS → use NotebookLM
  • Need team collaboration out of the box → use Notion or a shared Obsidian vault
  • Don't use Claude Code → port the SKILL.md to your agent of choice

Layout

llm-wiki-pm/
├── .claude-plugin/
│   └── plugin.json
├── hooks/
│   └── hooks.json
└── skills/llm-wiki-pm/
    ├── SKILL.md
    ├── hooks/         (session-start.sh, post-write.sh, session-stop.sh)
    ├── references/
    ├── scripts/
    └── templates/

Setup

Two scenarios documented in detail in GETTING_STARTED.md:

  1. Human user with Claude Code: enable plugin, wiki auto-scaffolds on first session
  2. Application-orchestrated: programmatic wiki provisioning for platform deployments

Quick Start

1. Bootstrap a wiki

Enable the plugin. When prompted, enter your wiki path and domain. On the first session start, the SessionStart hook creates: ~/pm-wiki/ with SCHEMA.md, index.md, log.md, overview.md, and the raw/entities/concepts/comparisons/queries/_archive subdirectories.

1b. Install qmd (recommended, upfront)

PM wikis grow fast with frequent meetings. Install qmd for hybrid search:

# Claude Code plugin
claude plugin marketplace add tobi/qmd
claude plugin install qmd@qmd

# CLI for shell + systemd
npm install -g @tobilu/qmd

# Wire wiki as collections
qmd collection add "$WIKI_PATH"      --name wiki
qmd collection add "$WIKI_PATH/raw"  --name raw
qmd context add qmd://wiki "PM knowledge base: entities, concepts, comparisons, queries"
qmd context add qmd://raw  "Immutable source docs: analyst reports, transcripts"
qmd embed

See references/qmd-search.md for daemon mode, systemd auto-reindex, and privacy collection patterns.

2. Review SCHEMA.md

Open ~/pm-wiki/SCHEMA.md. Adjust:

  • Domain statement (scope)
  • Tag taxonomy (add/remove tags for your specific accounts, competitors, themes)
  • Page thresholds (tune later after a few ingests)

3. Install as Claude Code skill

Option A, user-level (available in every project):

mkdir -p ~/.claude/skills
ln -s /home/sil/llm-wiki-pm/skills/llm-wiki-pm ~/.claude/skills/llm-wiki-pm

Option B, project-level (per-repo):

mkdir -p .claude/skills
ln -s /home/sil/llm-wiki-pm/skills/llm-wiki-pm .claude/skills/llm-wiki-pm

Restart Claude Code. Verify with /skills, llm-wiki-pm should appear. The skill auto-activates on ingest/query/update/lint phrasing (see SKILL.md "When This Skill Activates").

4. First ingest

In Claude Code:

"Ingest this Gartner Magic Quadrant report: "

Claude reads SKILL.md, orients on SCHEMA + index + log + overview, surfaces takeaways, creates/updates pages, logs.

5. Run lint periodically

python3 /home/sil/llm-wiki-pm/skills/llm-wiki-pm/scripts/lint.py ~/pm-wiki
# opens queries/lint-YYYY-MM-DD.md

6. Mobile access (optional)

See references/obsidian-sync.md for obsidian-headless + systemd setup.

Workflow Patterns

Weekly competitive digest: ingest 3-5 analyst links in one session. Batch updates, one log entry, refresh overview.md.

Pre-meeting prep: query "what do we know about ?" → Claude reads entities/<customer>.md + recent log → offer to file post-meeting update.

Monthly 1:1 follow-up: ingest transcript → extract decisions/themes → update relevant concept pages → link from person page.

Quarterly review: lint, triage, rotate log, refresh overview, prune tag taxonomy.

Scope

Wiki = long-term curated facts + sources you review, cite, and share with colleagues. Not a replacement for session memory or notes apps. If you pair with a memory tool (Claude's native memory, mem0, Hindsight), keep them non-overlapping: wiki holds facts + sources, memory holds persona + session state.

License

Tests

Hook scripts and plugin manifest validation:

python3 -m venv .venv && .venv/bin/pip install pytest -q
.venv/bin/python -m pytest tests/ -v

43 tests covering scaffold, wikilink validation, log rotation, stdin parsing, and plugin manifest compliance. All tests create isolated temp wikis and feed the real Claude Code hook JSON schema to the scripts.

MIT.

Credits

Built on prior art from:

  • Andrej Karpathy, LLM Wiki , the original pattern: stop re-deriving, start compiling. Three-layer architecture, Memex lineage, and the insight that LLMs are the first librarians who don't get bored of bookkeeping.
  • Rohit G, LLM Wiki v2 , lifecycle concepts (supersession, privacy, crystallization, self-healing lint). We cherry-picked the four highest-ROI v2 ideas for PM work.
  • kfchou/wiki-skills: update discipline with diffs and stale-claim sweep, tiered lint reports, evolving overview.md synthesis.
  • lewislulu/llm-wiki-skill , audit/feedback loop design (inspiration for future team-mode support).
  • tobi/qmd: on-device hybrid search engine that makes this skill scale past a few hundred pages.

Design notes

How this skill maps to Karpathy's original gist and Rohit's v2 extensions:

Karpathy core (10/10)

  • Three-layer architecture (raw sources, agent-owned wiki, schema)
  • LLM owns the wiki; human curates sources
  • Ingest / query / lint operations
  • index.md content catalog + log.md chronological record
  • File good answers back as pages (queries/ dir)
  • Obsidian compatibility (Graph, Dataview, frontmatter)
  • Schema as key configuration, co-evolved
  • Ingests touch 10-15 pages routinely
  • Optional CLI search via qmd
  • Multi-format outputs: Marp, matplotlib, CSV, Mermaid, Canvas

v2 cherry-picks (7/16)

Implemented:

  • Explicit supersession with supersedes: / superseded_by: fields + auto-redirect
  • Privacy filter (pre-ingest checklist + private: frontmatter flag)
  • Self-healing lint (--auto-fix for safe repairs)
  • Crystallization (transcript → decision digest)
  • Schema as the real product
  • Contradiction handling with frontmatter flag
  • Backlink tracing (scripts/backlinks.py for structural refs)

Intentionally skipped for solo PM use (overkill):

  • Confidence decay curves
  • Consolidation tiers (working/episodic/semantic/procedural memory)
  • Typed knowledge graph with relationship types
  • Multi-agent mesh sync
  • Quality scoring pipeline

About

PM knowledge base skill for Claude Code. Karpathy's LLM Wiki pattern with supersession, privacy, crystallize, and qmd hybrid search.

Topics

Resources

License

Stars

Watchers

Forks

Packages

 
 
 

Contributors