Scaffold a KGModule package with extractor, adapter, and test templates.
npx skills add https://github.com/Flux-Frontiers/doc_kg --skill new-kg-module
Please help me install this Agent Skill. Skill: new-kg-module Source: https://github.com/Flux-Frontiers/doc_kg/tree/main/.claude/skills/new-kg-module Command: npx skills add https://github.com/Flux-Frontiers/doc_kg --skill new-kg-module
This Skill removes the repetitive setup work needed to start a new knowledge-graph module by generating a complete, domain-ready package structure with consistent KGModule patterns and tests.
Tell the Skill to scaffold a new module named filetreekg for a doc-style knowledge graph, specifying node kinds ["file","directory"] and edge kinds ["CONTAINS","REFERENCES"] so you can immediately implement extraction and query logic in the generated package.
High-intent search queries and answers about installing and using this skill.
To scaffold a new knowledge graph module, you need to provide a snake_case name along with your domain's node kinds and edge kinds. This generates a complete package structure with extractor, module, adapter, and test templates ready for domain-specific logic.
Setting up a Python package for a file-tree knowledge graph requires creating consistent module patterns for nodes like files and directories. Using a scaffolding tool automates generating the extractor, adapter, and test stubs to accelerate implementation.
Yes, the generated knowledge graph package can include optional click-based CLI integration. This provides commands for building, querying, packing, analyzing, and snapshotting your knowledge graph directly from the command line.
You can configure include and exclude directories for your knowledge graph extractor by using configuration loading hooks. The scaffolded package supports loading these settings directly from your pyproject.toml file.
Creating a domain-specific knowledge graph extractor generates a package containing class stubs for the extractor, module, and adapter. It also includes test templates and optional CLI configuration hooks derived from your provided domain name.
Yes, you need to manually implement extraction logic after scaffolding because the tool generates structural templates and stubs. You replace the generated TODOs with real domain logic for your specific node and edge kinds.
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