pycode_kg
pycode_kg contient 3 skills collectées depuis Flux-Frontiers, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Expert knowledge for KGRAG — the unified cross-KG registry and federated query layer for PyCodeKG, DocKG, and MetaKG. Use this skill when: (1) Setting up or configuring KGRAG in projects, (2) Querying across multiple knowledge graphs simultaneously, (3) Extracting code/doc snippets for LLM context, (4) Integrating with Claude Code or Claude Desktop, (5) Running architectural analyses, (6) Managing the KG registry, or (7) Troubleshooting KG-related issues.
Use KGRAG to query across federated knowledge graphs (code, docs, metabolic) and manage cross-KG registries. Triggers when: searching multiple repos/KGs simultaneously, initializing KGs in new repos, querying code patterns across projects, extracting multi-KG snippets, or managing registry status.
Scaffold a complete new KGModule package for any knowledge domain. Use when the user wants to build a new domain knowledge graph using the KGModule SDK (e.g. "build a file tree KG", "create a TypeScript KG module", "scaffold a new KG for genomics data"). Invoked as "/new-kg-module NAME" where NAME is the snake_case package name (e.g. filetreekg, tskg, genomicskg).