Integrate new tree-sitter language grammars into the CodeGraph extraction pipeline.
npx skills add https://github.com/phuhao00/bony-agent --skill add-lang
Please help me install this Agent Skill. Skill: add-lang Source: https://github.com/phuhao00/bony-agent/tree/main/vendor/codegraph/.claude/skills/add-lang Command: npx skills add https://github.com/phuhao00/bony-agent --skill add-lang
This skill automates the complex, multi-step process of adding new tree-sitter language support to the CodeGraph extraction pipeline, ensuring consistent grammar wiring and high-quality indexing.
Invoke the add-lang skill by providing the name of the programming language you wish to integrate into the CodeGraph system.
High-intent search queries and answers about installing and using this skill.
To automate tree-sitter language support integration, wire new grammars across types, extractors, and configurations, then run health checks on WASM grammars and verify extraction accuracy against real-world repositories.
Automated tree-sitter language integration is the process of autonomously registering new programming language grammars into an extraction pipeline. It handles wiring, testing, and benchmarking to expand codebase analysis capabilities for diverse languages.
Yes, you need node and git to execute the full verification and evaluation workflow. You also need gh and a configured claude CLI to autonomously wire new tree-sitter language grammars into the extraction pipeline.
Benchmarking evaluates new tree-sitter language support by automatically running A/B testing on popular repositories. This testing assesses the retrieval value of the newly integrated language grammar within the codebase extraction pipeline.
The best way to verify extraction accuracy is to perform health checks on WASM grammars and test the extraction against real-world repositories. This quality assurance ensures the new language support indexes codebases correctly.
The automation requires specific dependencies including node, git, gh, claude CLI, and vitest. Without this exact environment configured, the full verification, benchmarking, and wiring workflow for new language grammars cannot execute.
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