--- name: knowledge-graph description: "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'." --- # Knowledge Graph Skill Turn any workspace into a queryable knowledge graph with smart memory management. Combines graphify (code/doc graph) with three Obsidian-inspired patterns. ## Installation In pa-skills repo, the skill is at the *root*: `pa-skills/knowledge-graph/` (not under `skills/`). Copy it to your workspace: ```bash # From your pa-skills clone cp -r knowledge-graph/ /path/to/your/workspace/skills/knowledge-graph/ ``` ## Prerequisites ```bash 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. ## .graphifyignore 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. ## Components ### 1. Knowledge Graph (graphify) Build and query a knowledge graph from code + docs. ```bash # 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. ### 2. Auto Cross-Linker Scans notes and adds [[wikilinks]] for known concepts from the graph. ```bash # 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. ### 3. Wiki Compiler (Karpathy Pattern) "Compile once, query forever" — instead of RAG every time, compile scattered mentions into structured wiki pages per topic. ```bash # 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/.md` with frontmatter, timeline of mentions, and graph connections. Each page is a self-contained summary — query it directly instead of scanning raw notes. ### 4. Structured Frontmatter Adds YAML frontmatter with auto-detected tags to notes. ```bash # 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. ### 5. Memory Health Checker Runs on the knowledge graph to detect memory problems. ```bash # 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. ## Recommended Crons ``` # 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 . ``` ## Token Impact | 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 | --- Source attribution: netanel-abergel Original project: https://github.com/netanel-abergel/pa-skills/blob/ca4344f33175b78797352bb9e8cdec864eff492d/knowledge-graph/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Dave AI. ## Upstream license notice MIT License Copyright (c) 2025 Netanel Abergel Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Dave AI resource metadata Creator / publisher: netanel-abergel Original project: https://github.com/netanel-abergel/pa-skills/blob/ca4344f33175b78797352bb9e8cdec864eff492d/knowledge-graph/SKILL.md Attribution basis: Source repository record Fields of work: Data & Analytics, Design, Education & Research, Marketing, Product Management Roles: Content Marketer, Data Analyst, Product Manager, Researcher, UX Writer Specialties: API Tools: Obsidian, Graphify Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 9d413460ce1090d69baeffbf511862973767931a5cfedf9b144976812c785abb