Analyze repository structure and identify impact areas for planning.
npx skills add https://github.com/truongnat/aix --skill mapping-codebase
Please help me install this Agent Skill. Skill: mapping-codebase Source: https://github.com/truongnat/aix/tree/main/content/skills/mapping-codebase Command: npx skills add https://github.com/truongnat/aix --skill mapping-codebase
This Skill helps understand repository structure, active artifacts, boundaries, and impact areas before discussion or planning, streamlining the Explore phase of the harness workflow.
Use the mapping-codebase skill to map the structure of the current repository.
High-intent search queries and answers about installing and using this skill.
To analyze repository structure and identify impact areas, you can map the file system to understand active artifacts, boundary files, and affected directories. This streamlines the pre-planning stage by recording dependencies and unknowns for informed decision-making.
Repository mapping is the process of charting a repository's file structure and boundaries. You need it when navigating an unfamiliar codebase or during the Explore phase before discussion, ensuring you understand entry points and potential impact zones prior to planning.
Yes, you need Python to run this codebase impact analysis. The execution relies on Python scripts to handle file system operations, mapping the repository structure and identifying affected directories.
Yes, you can identify entry points and boundary files in your repository before development. By mapping the repository structure, the analysis highlights active artifacts and records impact zones, streamlining your pre-planning workflow.
The best way to map impact zones and dependencies is by analyzing the repository's file structure to record affected directories and unknowns. This approach provides a clear view of boundaries and impact areas for informed planning.
A limitation of pre-planning repository mapping is that it relies entirely on Python file system operations to analyze structure. Complex or massive file systems may require significant execution time to accurately identify all impact zones and dependencies.
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