How does it identify relevant files?

It searches your codebase for imports, exports, and similar logic patterns that relate directly to the task description provided.

Can I use the output for pull request documentation?

Yes, the generated markdown tables provide an excellent overview of changes, dependencies, and risks, making them ideal for PR descriptions and reviews.

Why should I use a context map before coding?

Using a context map prevents regressions and ensures all dependencies and tests are accounted for before changes are made, saving time during the debugging phase.

Does this skill modify my code automatically?

No, this skill is a planning tool that generates a markdown report to guide your implementation and risk assessment before any code is touched.

Context Map Generator

Name: Context Map Generator
Author: rodolfolermacontreras

byrodolfolermacontreras

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生産性とワークフロー

Generates a comprehensive architectural map of relevant files, dependencies, and risks before implementing codebase changes.

The Context Map skill streamlines the development process by conducting a deep analysis of the codebase before any code is written. It automatically identifies files needing modification, maps out direct dependencies to prevent regressions, locates relevant test suites, and evaluates potential risks like breaking changes or migration requirements. This proactive approach ensures that developers and AI agents have a clear roadmap, reducing errors and improving the architectural consistency of new features or bug fixes.

主な機能

01Proactive identification of relevant unit and integration tests

021 GitHub stars

03Standardized markdown output for architectural review

04Automated dependency mapping for imports and exports

05Pattern matching to identify existing reference code for consistency

06Structural risk assessment for public APIs and database migrations

ユースケース

01Ensuring high test coverage by identifying which test files must be updated alongside code changes

02Onboarding onto a new codebase by mapping out how features are interconnected

03Planning large-scale refactors where cross-file dependencies are complex

主な機能

01Proactive identification of relevant unit and integration tests

021 GitHub stars

03Standardized markdown output for architectural review

04Automated dependency mapping for imports and exports

05Pattern matching to identify existing reference code for consistency

06Structural risk assessment for public APIs and database migrations

ユースケース

01Ensuring high test coverage by identifying which test files must be updated alongside code changes

02Onboarding onto a new codebase by mapping out how features are interconnected

03Planning large-scale refactors where cross-file dependencies are complex