Galyarder-framework graph
Rebuild the Galyarder Knowledge Graph and Obsidian World Map. Essential for structural RAG and multi-platform synchronization.
install
source · Clone the upstream repo
git clone https://github.com/galyarderlabs/galyarder-framework
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/galyarderlabs/galyarder-framework "$T" && mkdir -p ~/.claude/skills && cp -r "$T/integrations/galyarder-agent/skills/graph" ~/.claude/skills/galyarderlabs-galyarder-framework-graph-80160f && rm -rf "$T"
manifest:
integrations/galyarder-agent/skills/graph/SKILL.mdsource content
Graph Command
This command invokes the obsidian-architect to perform a repository-wide deep scan and rebuild the neural links between agents, skills, and documentation.
Objectives
- Deep Scan: Recursively maps dependencies across all 8 Department Silos.
- Obsidian Sync: Generates the high-fidelity
with interconnected [[wikilinks]].World-Map - Mermaid Generation: Updates the high-level orchestration map in the documentation portal.
- RAG Optimization: Exports
to reduce token consumption for future missions.graph.json
Example Usage
User: /graph Rebuild the neural map for the current project. Agent: [Scanning 8 Silos] -> [Generating [[wikilinks]]] -> [Exporting graph.json] -> Done.
Protocol: Mandatory execution after major architectural changes or repository restructuring.