Knowledge graph and smart memory management using graphify + Obsidian-inspired patterns. Use when: setting up a knowledge graph, managing memory health, cross-linking notes, compiling wiki pages from scattered notes, adding structured frontmatter, or running memory health checks. Triggers on: 'knowledge graph', 'graphify', 'wiki', 'cross-link', 'memory health', 'frontmatter', 'compile notes', 'wikilinks'.
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Review the instructions the agent will receive before you install.
Turn any workspace into a queryable knowledge graph with smart memory management. Combines graphify (code/doc graph) with three Obsidian-inspired patterns.
In pa-skills repo, the skill is at the root: pa-skills/knowledge-graph/
(not under skills/). Copy it to your workspace:
# From your pa-skills clone
cp -r knowledge-graph/ /path/to/your/workspace/skills/knowledge-graph/
pip install graphifyy
graphify claw install # ⚠️ This MODIFIES your AGENTS.md — adds graphify query rules
Important: graphify claw install appends a ## graphify section to your AGENTS.md.
This is intentional — it tells your agent to check the graph before reading raw files.
Review the changes after running it.
Create .graphifyignore in your workspace root to exclude noise:
node_modules/
.git/
media/
.tmp/
tmp/
graphify-out/
pa-skills/
skills-external/
*.pdf
*.ogg
*.jpg
*.png
Critical: If you have both pa-skills/knowledge-graph/ and skills/knowledge-graph/
on disk, add pa-skills/ to .graphifyignore to avoid duplicate nodes in the graph.
If your repo clone lives under .tmp/pa-skills/, exclude .tmp/ too or the duplicate noise will still leak in.
Build and query a knowledge graph from code + docs.
# Initial setup (AST-only, free)
graphify update .
# Query the graph
graphify query "how does X connect to Y"
graphify path "ModuleA" "ModuleB"
graphify explain "concept"
# After code changes
graphify update .
Full semantic extraction (with LLM) produces richer cross-doc connections.
See graphify claw install output for AGENTS.md integration rules.
Scans notes and adds [[wikilinks]] for known concepts from the graph.
# Build concept index from graph nodes + skills + projects
python3 scripts/wiki_crosslinker.py --build-index
# Cross-link today's daily note
python3 scripts/wiki_crosslinker.py --daily
# Cross-link all daily notes
python3 scripts/wiki_crosslinker.py --all-daily
Concepts come from: graphify nodes, skill names, project names, contacts. Only links document-type nodes with 4+ character names. Skips code internals.
"Compile once, query forever" — instead of RAG every time, compile scattered mentions into structured wiki pages per topic.
# See what needs compiling
python3 scripts/wiki_compiler.py --scan
# Compile all topics with 3+ mentions
python3 scripts/wiki_compiler.py --compile
# Compile one specific topic
python3 scripts/wiki_compiler.py --compile "onboarding"
# Check wiki status
python3 scripts/wiki_compiler.py --status
Output: wiki/<topic>.md with frontmatter, timeline of mentions, and graph connections.
Each page is a self-contained summary — query it directly instead of scanning raw notes.
Adds YAML frontmatter with auto-detected tags to notes.
# Add frontmatter to all daily notes
python3 scripts/note_frontmatter.py --all-daily
# Add frontmatter to project docs
python3 scripts/note_frontmatter.py --projects
# Query by frontmatter
python3 scripts/note_frontmatter.py --query tag=onboarding
python3 scripts/note_frontmatter.py --query type=project
Auto-tags: graphify, crons, ops, whatsapp, calendar, content, monday, onboarding, pa-network, infra, memory, eval, self-improve, skills, owner.
Runs on the knowledge graph to detect memory problems.
# Full report
python3 scripts/memory_health.py
# Quick summary
python3 scripts/memory_health.py --quick
Checks: orphan nodes, daily note gaps, stale MEMORY.md entries, weak communities, unreferenced skills, recent vs old activity.
# Daily: memory health check (04:00 UTC)
daily-memory-health: python3 scripts/memory_health.py --quick
# Weekly: wiki compilation + cross-linking (Sun 03:00 UTC)
weekly-wiki-compile:
1. python3 scripts/wiki_crosslinker.py --build-index
2. python3 scripts/wiki_compiler.py --compile
3. python3 scripts/note_frontmatter.py --all-daily
4. python3 scripts/note_frontmatter.py --projects
5. graphify update .
| Operation | Without | With | Reduction |
|---|---|---|---|
| Topic recall | ~15K tokens (scan daily notes) | ~200 tokens (wiki page) | 75x |
| Architecture query | ~411K tokens (read all files) | ~155 tokens (graph query) | 2,655x |
| "What happened with X" | grep all notes | frontmatter query + wiki page | ~50x |
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AI Personal Assistant network skill for multi-agent PA coordination. Use when: contacting another PA, coordinating with peer agents, scheduling meetings between owners, broadcasting messages to PA groups, or looking up contacts from the local PA directory. Reads contact data from data/pa-directory.json in the workspace.
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AI Personal Assistant network skill. Use when: contacting another PA, coordinating with peer agents, scheduling meetings between owners, broadcasting messages, looking up contacts from the local PA directory, or performing any cross-PA task. Reads contact data from data/pa-directory.json in the workspace. Does NOT contain hardcoded contact data — each PA maintains their own directory file.
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Route and execute inter-PA coordination tasks in the OpenClaw multi-agent PA network. Triggers when: contacting another PA, passing a message between owners, broadcasting to a PA group, handling group lead/silence rules, or adding a new PA to the directory. NOT for: contact lookups (use contact-list skill), calendar invites (use meetings skill), or billing issues (use billing-monitor skill).
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OpenClaw API gateway proxy for authenticated SaaS calls (100+ services in references/SERVICES.md). Use ONLY when making an HTTP request to a third-party service that requires the gateway's stored credentials. NOT for direct API calls with bearer tokens already in scope, NOT for monday.com (use monday-for-agents), NOT for WhatsApp (use heleni-whatsapp). Triggers: "call the X API", "fetch from <service>", "send to Slack via gateway", "use the gateway for".
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Automatically creates new skills from complex problem-solving sessions. Triggers at the end of multi-step tasks that required novel approaches, debugging sessions, or workflow creation. Use when: a task took 3+ tool calls, involved a non-obvious solution, or established a pattern likely to recur. Also triggers on: "create a skill from this", "save this as a skill", "this should be a skill".
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Monitor for API billing errors and alert the owner and admin immediately. Use when: an API billing error is detected, a peer PA reports a billing error, or during routine health checks. Handles detection, notification, and fallback model switching. Model-agnostic: works with any LLM provider (Anthropic, OpenAI, Google, etc.).
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