Extract code structure and validate quality using language servers and tree-sitter.
npx skills add https://github.com/AvivK5498/Beads-Kanban-UI --skill agentifind
Please help me install this Agent Skill. Skill: agentifind Source: https://github.com/AvivK5498/Beads-Kanban-UI/tree/main/.claude/skills/agentifind Command: npx skills add https://github.com/AvivK5498/Beads-Kanban-UI --skill agentifind
This Skill helps AI agents understand your codebase's structure, dependencies, and potential dynamic patterns, enabling more efficient and accurate code navigation and analysis.
CODEBASE.md file for AI agents.CODEBASE.md that guides the agent to the correct files and functions, significantly reducing exploration time.Run the agentifind sync command to generate a CODEBASE.md navigation guide for your project.
High-intent search queries and answers about installing and using this skill.
To generate a codebase index for AI agents, run the sync command to extract code structure using LSP or tree-sitter, producing a codebase.json file and a CODEBASE.md navigation guide. This maps dependencies and call graphs for Python and TypeScript projects.
Tree-sitter and LSP code analysis works by parsing source files to extract code structure, identifying call graphs, import dependencies, and uncalled exports. This process highlights potential dynamic patterns and analysis gaps requiring manual review.
Yes, you can use this code navigation tool with TypeScript projects. It leverages tsserver alongside pyright for Python, extracting call graphs and import dependencies to synthesize a comprehensive CODEBASE.md navigation guide for AI agents.
The best way to help an AI agent understand codebase structure is generating a CODEBASE.md navigation guide. This reduces exploration time by mapping import dependencies, call graphs, and orphan modules, guiding the agent directly to correct files and functions.
Code analysis identifies uncalled exports and orphan modules to highlight analysis gaps and potential dynamic patterns. This flags areas requiring manual review, ensuring AI agents understand codebase limitations and avoid missing hidden dependencies during refactoring.
You need language servers like pyright or tsserver for deep code structure extraction. Alternatively, the tool uses tree-sitter to parse source files and generate the codebase.json index if LSP servers are unavailable in your environment.
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AvivK5498Automate AI agent benchmark setup and execution to measure CODEBASE.md effectiveness.
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bejranondaParse Python, JavaScript, and TypeScript code into ASTs for structural analysis.