Orchestrate Git-based code review and cleanup across recent commits or the current branch.
npx skills add https://github.com/ruimfernandes/claude --skill mr-milchick
Please help me install this Agent Skill. Skill: mr-milchick Source: https://github.com/ruimfernandes/claude/tree/main/skills/mr-milchick Command: npx skills add https://github.com/ruimfernandes/claude --skill mr-milchick
Mr. Milchick helps you safely wrap up implementation work by automatically reviewing recent or current-branch changes, cleaning up dead code, checking translation usage, and running targeted quality analyses (readability, coverage, flakiness, and performance).
Trigger it by telling your AI: "Mr. Milchick, review my last 5 commits and proceed to the cleanup."
High-intent search queries and answers about installing and using this skill.
Automating code review for recent git commits involves parsing commit counts, collecting diffs, and dispatching targeted analyses for readability, coverage, flakiness, and performance. This Skill orchestrates that entire workflow by reviewing the last N commits or current-branch changes against a resolved mainline base.
Cleaning up dead code before analyzing a branch diff requires a deterministic formatting and removal step applied to the changed file set. This Skill formats Elixir files and removes confidently unused dead code before dispatching deeper quality and performance reviews.
Detecting flaky tests in modified files after a merge is possible by running specialized reviewers on the changed set. This Skill runs parallel specialists to check modified or created tests for flakiness as part of its post-merge orchestration.
Code review orchestration works with Elixir projects by applying deterministic formatting to Elixir files before deeper analysis. It also checks translation usage and removes unused dead code specifically within the changed Elixir file set.
Reviewing the current branch diff against the mainline base requires resolving the merge-base and collecting the divergent changes. This Skill automates that scope resolution, runs a cleanup phase, and then applies specialized reviewers for performance risks and coverage gaps.
Running cleanup before checking test coverage and performance risks ensures that dead code and formatting inconsistencies do not skew the deeper analysis. This Skill mandates a deterministic cleanup phase first so that readability, coverage, and performance reviews operate on a clean diff.
mhawthorneRetrieve task details by ID and present them as JSON.
Jamie-CuiFinalize feature branches with pre-integration checks and merge strategy guidance.
proffesor-for-testingValidate translations, locale formats, RTL support, and Unicode handling.
Intense-VisionsIdentify minimal test sets from changed files with graph-aware discovery and static fallbacks.
