Generates a codebase onboarding document from tree-sitter architecture maps and code smell analysis.
npx skills add https://github.com/montymi/claude-config --skill onboard-montymi
Please help me install this Agent Skill. Skill: onboard Source: https://github.com/montymi/claude-config/tree/main/skills/onboard Command: npx skills add https://github.com/montymi/claude-config --skill onboard-montymi
Onboard new contributors to a codebase by generating a cohesive architecture overview and actionable onboarding guide using tree-sitter-derived maps and code-smell analysis.
Run the onboarding workflow on the target repository to produce a complete setup guide and update project memory with the latest findings.
High-intent search queries and answers about installing and using this skill.
Codebase onboarding automation uses tree-sitter parsing to map module boundaries and entry points, generating an architectural overview document with recommended onboarding steps for contributors.
Tree-sitter architecture mapping parses source code across multiple languages to extract module boundaries, entry points, and structural relationships, producing a comprehensive onboarding guide for software projects.
Code smell analysis identifies long functions, deep nesting, and unused imports during onboarding generation, surfacing actionable improvement recommendations alongside the architecture overview.
Tree-sitter supports onboarding generation across Python, JavaScript, TypeScript, Rust, Go, Java, Ruby, C, C++, and Kotlin codebases, enabling architecture mapping and smell detection for multi-language repositories.
Automated onboarding documentation combines tree-sitter architecture mapping with code smell analysis to produce entry points, module boundaries, and onboarding steps, persisting findings to project memory for future reference.
Python environment with tree-sitter libraries is required to run the onboarding workflow, which generates architecture maps and updates project memory files with derived insights.
IoncradeBuilds and queries knowledge graphs from source code using Python libraries.
heyAyushhConfigure development environments and prepare initial pull requests for new developers.
TheRealSeberGenerate cross-referenced Markdown documentation for Java codebases via static analysis.
GGGODLINGenerate interactive HTML playgrounds for visual exploration and configuration.
