Detect dead code, unused dependencies, and orphaned files in Python repositories.
npx skills add https://github.com/axel-kaliff/dotfiles --skill cleanup-axel-kaliff
Please help me install this Agent Skill. Skill: cleanup Source: https://github.com/axel-kaliff/dotfiles/tree/main/claude/.claude/skills/cleanup Command: npx skills add https://github.com/axel-kaliff/dotfiles --skill cleanup-axel-kaliff
This Skill locates and surfaces code and dependency bloat so teams can safely remove unused functions, stale exports, orphaned files, and declared-but-unused packages before releases or refactors. It reduces maintenance burden, speeds reviews, and lowers risk of shipping unused or confusing code.
Scan the src directory for dead code, unused dependencies, orphaned files, and produce a combined cleanup report.
High-intent search queries and answers about installing and using this skill.
To find dead code and unused dependencies in Python, this task uses deterministic tools like vulture, deadcode, deptry, and ruff for initial scans, then runs parallel LLM agents to detect vestigial patterns and stale cross-references.
Detecting orphaned files that static analysis misses is handled by running parallel LLM agents that perform semantic analysis to identify dead exports, vestigial code patterns, and stale cross-references.
Yes, you can audit only the files changed on a feature branch for stale exports. The workflow operates on scoped paths, the src directory, or feature branches specifically for pre-release audits and refactors.
Deptry works with ruff to find declared but unused packages and unused imports. They form the deterministic dependency auditing component of the combined cleanup report.
Using LLM agents alongside vulture and deadcode for dead code removal catches semantic issues like stale cross-references and vestigial patterns that purely deterministic static analysis tools cannot identify.
You should run a dead code and dependency cleanup pass before a release to safely remove unused functions and declared-but-unused packages, reducing maintenance burden and lowering the risk of shipping confusing code.
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