Structured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.
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galyarderlabs/galyarder-framework272026年10月11日 更新
免费在 GitHub 公开
graph
Rebuild the Galyarder Knowledge Graph and Obsidian World Map. Essential for structural RAG and multi-platform synchronization.
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集成工具Obsidian
查看安装方法包含的文件（1）
- SKILL.md1.0 KB
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
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
World-Mapwith interconnected [[wikilinks]]. - Mermaid Generation: Updates the high-level orchestration map in the documentation portal.
- RAG Optimization: Exports
graph.jsonto reduce token consumption for future missions.
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.
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galyarderlabs/galyarder-framework272026年10月11日 更新
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galyarderlabs/galyarder-framework272026年10月11日 更新
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galyarderlabs/galyarder-framework272026年10月11日 更新
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galyarderlabs/galyarder-framework272026年10月11日 更新
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galyarderlabs/galyarder-framework272026年10月11日 更新