Code Review Reception
Receive and act on code review feedback with technical rigor, not performative agreement or blind implementation
Best use case
Code Review Reception is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Receive and act on code review feedback with technical rigor, not performative agreement or blind implementation
Teams using Code Review Reception should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/receiving-code-review/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Code Review Reception Compares
| Feature / Agent | Code Review Reception | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Receive and act on code review feedback with technical rigor, not performative agreement or blind implementation
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Code Review Reception
## Overview
Code review requires technical evaluation, not emotional performance.
**Core principle:** Verify before implementing. Ask before assuming. Technical correctness over social comfort.
## The Response Pattern
```
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
```
## Forbidden Responses
**NEVER:**
- "You're absolutely right!" (explicit CLAUDE.md violation)
- "Great point!" / "Excellent feedback!" (performative)
- "Let me implement that now" (before verification)
**INSTEAD:**
- Restate the technical requirement
- Ask clarifying questions
- Push back with technical reasoning if wrong
- Just start working (actions > words)
## Handling Unclear Feedback
```
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."
```
## Source-Specific Handling
### From your human partner
- **Trusted** - implement after understanding
- **Still ask** if scope unclear
- **No performative agreement**
- **Skip to action** or technical acknowledgment
### From External Reviewers
```
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"
## YAGNI Check for "Professional" Features
```
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."
## Implementation Order
```
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
```
## When To Push Back
Push back when:
- Suggestion breaks existing functionality
- Reviewer lacks full context
- Violates YAGNI (unused feature)
- Technically incorrect for this stack
- Legacy/compatibility reasons exist
- Conflicts with your human partner's architectural decisions
**How to push back:**
- Use technical reasoning, not defensiveness
- Ask specific questions
- Reference working tests/code
- Involve your human partner if architectural
**Signal if uncomfortable pushing back out loud:** "Strange things are afoot at the Circle K"
## Acknowledging Correct Feedback
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.
**If you catch yourself about to write "Thanks":** DELETE IT. State the fix instead.
## Gracefully Correcting Your Pushback
If you pushed back and were wrong:
```
✅ "You were right - I checked [X] and it does [Y]. Implementing now."
✅ "Verified this and you're correct. My initial understanding was wrong because [reason]. Fixing."
❌ Long apology
❌ Defending why you pushed back
❌ Over-explaining
```
State the correction factually and move on.
## Common Mistakes
| Mistake | Fix |
|---------|-----|
| Performative agreement | State requirement or just act |
| Blind implementation | Verify against codebase first |
| Batch without testing | One at a time, test each |
| Assuming reviewer is right | Check if breaks things |
| Avoiding pushback | Technical correctness > comfort |
| Partial implementation | Clarify all items first |
| Can't verify, proceed anyway | State limitation, ask for direction |
## Real Examples
**Performative Agreement (Bad):**
```
Reviewer: "Remove legacy code"
❌ "You're absolutely right! Let me remove that..."
```
**Technical Verification (Good):**
```
Reviewer: "Remove legacy code"
✅ "Checking... build target is 10.15+, this API needs 13+. Need legacy for backward compat. Current impl has wrong bundle ID - fix it or drop pre-13 support?"
```
**YAGNI (Good):**
```
Reviewer: "Implement proper metrics tracking with database, date filters, CSV export"
✅ "Grepped codebase - nothing calls this endpoint. Remove it (YAGNI)? Or is there usage I'm missing?"
```
**Unclear Item (Good):**
```
your human partner: "Fix items 1-6"
You understand 1,2,3,6. Unclear on 4,5.
✅ "Understand 1,2,3,6. Need clarification on 4 and 5 before implementing."
```
## The Bottom Line
**External feedback = suggestions to evaluate, not orders to follow.**
Verify. Question. Then implement.
No performative agreement. Technical rigor always.Related Skills
Requesting Code Review
Dispatch code-reviewer subagent to review implementation against plan or requirements before proceeding
Testing Anti-Patterns
Never test mock behavior. Never add test-only methods to production classes. Understand dependencies before mocking.
Test-Driven Development (TDD)
Write the test first, watch it fail, write minimal code to pass
Condition-Based Waiting
Replace arbitrary timeouts with condition polling for reliable async tests
Testing Skills With Subagents
RED-GREEN-REFACTOR for process documentation - baseline without skill, write addressing failures, iterate closing loopholes
Installing Skills System
Fork, clone to ~/.clank, run installer, edit CLAUDE.md
Gardening Skills Wiki
Maintain skills wiki health - check links, naming, cross-references, and coverage
Creating Skills
TDD for process documentation - test with subagents before writing, iterate until bulletproof
Getting Started with Skills
Skills wiki intro - mandatory workflows, search tool, brainstorming triggers
Verification Before Completion
Run verification commands and confirm output before claiming success
Systematic Debugging
Four-phase debugging framework that ensures root cause investigation before attempting fixes. Never jump to solutions.
Root Cause Tracing
Systematically trace bugs backward through call stack to find original trigger