Catalog
obra/receiving-code-review

obra

receiving-code-review

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation

NewUpdated Sep 9, 2026

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 instruction-file 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

If you're uncomfortable pushing back out loud: Name that tension, then tell your partner about the issue you've seen. They'll appreciate your honesty.

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."

GitHub Thread Replies

When replying to inline review comments on GitHub, reply in the comment thread (gh api repos/{owner}/{repo}/pulls/{pr}/comments/{id}/replies), not as a top-level PR comment.

Files1
1 files · 1.0 KB

Select a file to preview

Overall Score

87/100

Grade

A

Excellent

Grades are signals, not a certification. Always review a skill yourself before use.

Safety

95

Quality

85

Clarity

88

Completeness

78

Summary

A behavioral guidance skill that teaches AI coding agents how to respond to code review feedback with technical rigor rather than performative agreement. It establishes a verification-first pattern (read → understand → verify → evaluate → respond), teaches when to push back against reviewers with technical reasoning, and provides handling rules for different feedback sources (trusted partners vs. external reviewers).

Detected Capabilities

Code analysis and verificationBehavioral pattern instructionFeedback interpretationGitHub API interaction (gh command line)

Trigger Keywords

Phrases that agents use to match this skill to user intent.

code review feedbackimplement review suggestionspush back on reviewertechnical verificationhandle unclear feedback

Use Cases

  • Receive external code review feedback and verify technical soundness before implementing changes
  • Push back on reviewer suggestions with technical reasoning when feedback conflicts with codebase reality or project context
  • Handle unclear or incomplete feedback by asking clarifying questions before partial implementation
  • Differentiate between trusted internal feedback and external review feedback with appropriate verification depth
  • Implement multi-item feedback in priority order (blocking issues, then simple fixes, then refactoring) with individual testing
  • Apply YAGNI principle to reject unnecessary feature implementations suggested by reviewers
  • Gracefully correct initial pushback when verification shows a reviewer was actually correct

Quality Notes

  • Excellent behavioral clarity with explicit forbidden and preferred response patterns
  • Strong emphasis on technical verification over social comfort — aligns with agent integrity principles
  • Clear prioritization rules for multi-item feedback (blocking → simple → complex)
  • Practical handling of reviewer source differentiation (trusted vs. external with context checks)
  • Real examples show both anti-patterns and correct patterns side-by-side for clarity
  • YAGNI principle is well-scoped with concrete grep-based verification guidance
  • Graceful failure handling for when agent cannot verify claims (states limitation, asks for direction)
  • No file writes, network calls, or shell commands with unguarded side effects — purely behavioral guidance
  • Explicitly documents 'your human partner' as source of authority for architectural decisions
Model: claude-haiku-4-5-20251001Analyzed: Sep 9, 2026

Reviews

Add this skill to your library to leave a review.

No reviews yet

Be the first to share your experience.

Version History

  1. v1.2

    Content updated

    ✦ AIRemoves the 'Bottom Line' section on evaluating feedback critically.

    2026-09-09

    LATEST
  2. v1.1

    Content updated

    ✦ AIClarifies citation in forbidden responses from CLAUDE.md to instruction-file violation, and replaces cryptic pushback signal phrase with direct communication guidance.

    2026-06-28

    View This Version
  3. v1.0

    2026-05-02

    View This VersionInitial version

Use obra/receiving-code-review in your dev environment

Command Palette

Search for a command to run...