Identify structural improvement opportunities in a codebase and log them to REFACTOR_BACKLOG.md.
npx skills add https://github.com/hoonzinope/skills --skill refactor-scout
Please help me install this Agent Skill. Skill: refactor-scout Source: https://github.com/hoonzinope/skills/tree/main/refactor-scout Command: npx skills add https://github.com/hoonzinope/skills --skill refactor-scout
Identify opportunities to improve code structure and maintainability without altering source code, and record them in a centralized backlog.
Ask the agent to scan the repository and generate a dated refactor backlog entry into .documents/review/REFACTOR_BACKLOG.md.
High-intent search queries and answers about installing and using this skill.
To identify structural refactoring opportunities without touching source code, scan the repository for ambiguous module boundaries, duplicated logic, and long functions. The analysis captures results as concrete backlog entries with traceable IDs in a dedicated review markdown file.
A code refactor backlog is a centralized markdown file that logs concrete structural improvement opportunities. It helps during maintenance by recording dated entries with traceable IDs for future sprint planning and architectural reviews without requiring immediate behavioral changes.
Detect modules with ambiguous boundaries and duplicated logic by analyzing the repository structure for high cohesion and low coupling opportunities. The scan identifies these architectural issues and logs them into a review markdown file for future planning.
Yes, you can generate a dated refactor backlog during architectural reviews without altering program behavior. The process scopes modules, boundaries, duplication, and long functions across the repository, writing exclusively to a designated review markdown file to avoid any behavioral changes.
The best way to plan structural code improvements during sprints is to scan the repository and generate a dated refactor backlog entry. This approach captures architectural improvements like boundary clarification and duplication removal into a centralized markdown file for traceable sprint planning.
Running a code structure analysis does not modify existing source files. The process identifies structural improvement opportunities across the codebase but writes only to a specific review markdown file, ensuring no behavioral changes occur to the source code.
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