Remove AI-generated code slop with a regression-safe, deletion-first cleanup workflow.
npx skills add https://github.com/atmigtnca/sidep-ops --skill deslop-atmigtnca
Please help me install this Agent Skill. Skill: deslop Source: https://github.com/atmigtnca/sidep-ops/tree/main/skills/deslop Command: npx skills add https://github.com/atmigtnca/sidep-ops --skill deslop-atmigtnca
Clean AI-generated code slop by applying a regression-safe, deletion-first cleanup workflow, preserving behavior while removing unnecessary complexity.
Run /deslop on the target files to begin a bounded, regression-safe cleanup, with an optional reviewer pass
High-intent search queries and answers about installing and using this skill.
AI-generated code slop is removed without changing behavior by applying a regression-safe, deletion-first cleanup workflow that prioritizes removing duplication and dead code while preserving existing utilities.
The best way to clean up AI-generated codebases safely is using a bounded scope and plan-first approach, executing small edits that minimize risk and preserve regression coverage throughout the process.
Reviewer mode works for code cleanup by enabling a reviewer-only pass to evaluate changes, keeping writer and reviewer separation strict before applying any deletion-first edits to the target files.
Regression testing is supported alongside a deletion-first refactor through plan-driven verification, ensuring that bounded scope edits and dead code removal do not alter the original software behavior.
A bounded scope cleanup workflow should not be used when a codebase requires large architectural additions rather than deletions, as this process specifically enforces removing duplication and dead code over adding new complexity.
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