Helps developers handle code review feedback with rigor, judgment, and effective responses.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Code Review Reception" skill from askskill: 1. Download https://raw.githubusercontent.com/obra/clank/main/skills/collaboration/receiving-code-review/SKILL.md 2. Save it as ~/.claude/skills/receiving-code-review/SKILL.md 3. Reload skills and tell me it's ready
Based on the following code review feedback, draft a professional response for me. Separate: suggestions I will accept, points that need clarification, and parts I disagree with but should explain politely. Feedback: 'This function is too long, error handling is inconsistent, and the caching logic may cause concurrency issues.'
A well-structured draft reply with clear technical reasoning.
I received multiple code review comments. Turn them into an actionable revision plan, group them by priority, and mark which items should be validated before making changes. The feedback covers performance, naming, test coverage, and edge-case handling.
A prioritized revision checklist with validation advice and implementation steps.
Here is a code review suggestion. Analyze whether I should accept it. Evaluate it across correctness, maintainability, performance impact, and team conventions, then provide a recommended response. Suggestion: 'Replace the current explicit error handling with centralized global exception catching.'
A multidimensional analysis, plus a conclusion on whether to accept the suggestion and how to respond.
Code review requires technical evaluation, not emotional performance.
Core principle: Verify before implementing. Ask before assuming. Technical correctness over social comfort.
WHEN receiving code review feedback:
1. READ: Complete feedback without reacting
2. UNDERSTAND: Restate requirement in own words (or ask)
3. VERIFY: Check against codebase reality
4. EVALUATE: Technically sound for THIS codebase?
5. RESPOND: Technical acknowledgment or reasoned pushback
6. IMPLEMENT: One item at a time, test each
NEVER:
INSTEAD:
IF any item is unclear:
STOP - do not implement anything yet
ASK for clarification on unclear items
WHY: Items may be related. Partial understanding = wrong implementation.
Example:
your human partner: "Fix 1-6"
You understand 1,2,3,6. Unclear on 4,5.
❌ WRONG: Implement 1,2,3,6 now, ask about 4,5 later
✅ RIGHT: "I understand items 1,2,3,6. Need clarification on 4 and 5 before proceeding."
BEFORE implementing:
1. Check: Technically correct for THIS codebase?
2. Check: Breaks existing functionality?
3. Check: Reason for current implementation?
4. Check: Works on all platforms/versions?
5. Check: Does reviewer understand full context?
IF suggestion seems wrong:
Push back with technical reasoning
IF can't easily verify:
Say so: "I can't verify this without [X]. Should I [investigate/ask/proceed]?"
IF conflicts with your human partner's prior decisions:
Stop and discuss with your human partner first
your human partner's rule: "External feedback - be skeptical, but check carefully"
IF reviewer suggests "implementing properly":
grep codebase for actual usage
IF unused: "This endpoint isn't called. Remove it (YAGNI)?"
IF used: Then implement properly
your human partner's rule: "You and reviewer both report to me. If we don't need this feature, don't add it."
FOR multi-item feedback:
1. Clarify anything unclear FIRST
2. Then implement in this order:
- Blocking issues (breaks, security)
- Simple fixes (typos, imports)
- Complex fixes (refactoring, logic)
3. Test each fix individually
4. Verify no regressions
Push back when:
How to push back:
Signal if uncomfortable pushing back out loud: "Strange things are afoot at the Circle K"
When feedback IS correct:
✅ "Fixed. [Brief description of what changed]"
✅ "Good catch - [specific issue]. Fixed in [location]."
✅ [Just fix it and show in the code]
❌ "You're absolutely right!"
❌ "Great point!"
❌ "Thanks for catching that!"
❌ "Thanks for [anything]"
❌ ANY gratitude expression
Why no thanks: Actions speak. Just fix it. The code itself shows you heard the feedback.
…
Compare 2-3 approaches before execution to choose a stronger solution.
Write evergreen comments focused on what and why, not historical context.
Search past Claude Code chats to recover facts, decisions, and context.
Design systems by hiding implementation details behind domain-level interfaces.
Plan with pseudocode first, refine approaches, then translate into working code.
Helps developers keep class abstractions cohesive and free of unrelated responsibilities.
Evaluate code review feedback rigorously before deciding whether to implement it.
Trigger a code review against plans or requirements before moving forward.
Review code or branches for correctness, compatibility, architecture, tests, performance, and security.
Review code deeply across correctness, tests, security, performance, and product quality.
Simulate a multi-agent engineering team to review code for quality and risks.
Run a structured code review before commit or release on local or PR branches.