Maps Node.js project dependencies and exported symbols into a queryable graph.
npx skills add https://github.com/ngmthaq/my-copilot --skill scan-js-codebase
Please help me install this Agent Skill. Skill: scan-js-codebase Source: https://github.com/ngmthaq/my-copilot/tree/main/skills/scan-js-codebase Command: npx skills add https://github.com/ngmthaq/my-copilot --skill scan-js-codebase
Scans a Node.js project (JavaScript or TypeScript) to build a compact knowledge graph of file dependencies and exported symbols, storing it in the project's agent folder (.claude, .github, or .cursor) for use by GitHub Copilot, Claude Code, or any AI agent.
Run the build-graph.js script from the project root to generate the knowledge-graph.json in your agent folder.
High-intent search queries and answers about installing and using this skill.
To build a dependency graph for AI agents, you can scan a Node.js project to map file dependencies and exported symbols into a compact knowledge graph. This graph is stored in an agent folder like .claude or .cursor for querying.
Providing codebase context for GitHub Copilot or Claude Code is best done by generating a compact knowledge graph of dependencies and exported symbols. This graph is saved to your project's agent folder for onboarding and impact analysis.
Yes, you can use madge to map exported symbols and dependencies for TypeScript projects. The scan supports both JavaScript and TypeScript, computing a dependency graph stored as a queryable JSON file in your agent folder.
To analyze the impact of modifying a module in a JavaScript codebase, you can query a generated knowledge graph of file dependencies and exported symbols. This graph reveals what breaks when you change a module.
You need an agent folder such as .claude, .github, or .cursor to store the generated codebase knowledge graph. Running the build script from the project root automatically outputs the graph to this directory.
A static dependency graph helps with onboarding to a new codebase by mapping file dependencies and exported symbols into a compact structure. This provides immediate context on imports and symbol definitions for AI agents.
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