review-implementing
This Claude Code skill systematically processes and implements code review feedback by parsing reviewer notes into actionable tasks, then methodically addressing each item using code search, editing, and verification tools. Use it when a user provides PR comments, code review notes, or asks to implement feedback suggestions from reviewers.
git clone --depth 1 https://github.com/mhattingpete/claude-skills-marketplace /tmp/review-implementing && cp -r /tmp/review-implementing/engineering-workflow-plugin/skills/review-implementing ~/.claude/skills/review-implementingSKILL.md
# Review Feedback Implementation Systematically process and implement changes based on code review feedback. ## When to Use - Provides reviewer comments or feedback - Pastes PR review notes - Mentions implementing review suggestions - Says "address these comments" or "implement feedback" - Shares list of changes requested by reviewers ## Systematic Workflow ### 1. Parse Reviewer Notes Identify individual feedback items: - Split numbered lists (1., 2., etc.) - Handle bullet points or unnumbered feedback - Extract distinct change requests - Clarify ambiguous items before starting ### 2. Create Todo List Use TodoWrite tool to create actionable tasks: - Each feedback item becomes one or more todos - Break down complex feedback into smaller tasks - Make tasks specific and measurable - Mark first task as `in_progress` before starting Example: ``` - Add type hints to extract function - Fix duplicate tag detection logic - Update docstring in chain.py - Add unit test for edge case ``` ### 3. Implement Changes Systematically For each todo item: **Locate relevant code:** - Use Grep to search for functions/classes - Use Glob to find files by pattern - Read current implementation **Make changes:** - Use Edit tool for modifications - Follow project conventions (CLAUDE.md) - Preserve existing functionality unless changing behavior **Verify changes:** - Check syntax correctness - Run relevant tests if applicable - Ensure changes address reviewer's intent **Update status:** - Mark todo as `completed` immediately after finishing - Move to next todo (only one `in_progress` at a time) ### 4. Handle Different Feedback Types **Code changes:** - Use Edit tool for existing code - Follow type hint conventions (PEP 604/585) - Maintain consistent style **New features:** - Create new files with Write tool if needed - Add corresponding tests - Update documentation **Documentation:** - Update docstrings following project style - Modify markdown files as needed - Keep explanations concise **Tests:** - Write tests as functions, not classes - Use descriptive names - Follow pytest conventions **Refactoring:** - Preserve functionality - Improve code structure - Run tests to verify no regressions ### 5. Validation After implementing changes: - Run affected tests - Check for linting errors: `uv run ruff check` - Verify changes don't break existing functionality ### 6. Communication Keep user informed: - Update todo list in real-time - Ask for clarification on ambiguous feedback - Report blockers or challenges - Summarize changes at completion ## Edge Cases **Conflicting feedback:** - Ask user for guidance - Explain conflict clearly **Breaking changes required:** - Notify user before implementing - Discuss impact and alternatives **Tests fail after changes:** - Fix tests before marking todo complete - Ensure all related tests pass **Referenced code doesn't exist:** - Ask user for clarification - Verify understanding before proceeding ## Important Guidelines - **Always use TodoWrite** for tracking progress - **Mark todos completed immediately** after each item - **Only one todo in_progress** at any time - **Don't batch completions** - update status in real-time - **Ask questions** for unclear feedback - **Run tests** if changes affect tested code - **Follow CLAUDE.md conventions** for all code changes - **Use conventional commits** if creating commits afterward
Execute Python code locally with marketplace API access for 90%+ token savings on bulk operations. Activates when user requests bulk operations (10+ files), complex multi-step workflows, iterative processing, or mentions efficiency/performance.
Perform bulk code refactoring operations like renaming variables/functions across files, replacing patterns, and updating API calls. Use when users request renaming identifiers, replacing deprecated code patterns, updating method calls, or making consistent changes across multiple locations.
Transfer code between files with line-based precision. Use when users request copying code from one location to another, moving functions or classes between files, extracting code blocks, or inserting code at specific line numbers.
Analyze files and get detailed metadata including size, line counts, modification times, and content statistics. Use when users request file information, statistics, or analysis without modifying files.
Generate multiple diverse solutions in parallel and select the best. Use for architecture decisions, code generation with multiple valid approaches, or creative tasks where exploring alternatives improves quality.
Break down feature requests into detailed, implementable plans with clear tasks. Use when user requests a new feature, enhancement, or complex change.
Stage, commit, and push git changes with conventional commit messages. Use when user wants to commit and push changes, mentions pushing to remote, or asks to save and push their work. Also activates when user says "push changes", "commit and push", "push this", "push to github", or similar git workflow requests.
Run tests and systematically fix all failing tests using smart error grouping. Use when user asks to fix failing tests, mentions test failures, runs test suite and failures occur, or requests to make tests pass.