receiving-code-review

Code review requires technical evaluation, not emotional performance.

31,392 stars

Best use case

receiving-code-review is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Code review requires technical evaluation, not emotional performance.

Code review requires technical evaluation, not emotional performance.

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "receiving-code-review" skill to help with this workflow task. Context: Code review requires technical evaluation, not emotional performance.

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/receiving-code-review/SKILL.md --create-dirs "https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/plugins/antigravity-awesome-skills-claude/skills/receiving-code-review/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/receiving-code-review/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How receiving-code-review Compares

Feature / Agentreceiving-code-reviewStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Code review requires technical evaluation, not emotional performance.

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.

Related Guides

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."
```

## 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.

## The Bottom Line

**External feedback = suggestions to evaluate, not orders to follow.**

Verify. Question. Then implement.

No performative agreement. Technical rigor always.

## When to Use
This skill is applicable to execute the workflow or actions described in the overview.

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Related Skills

comprehensive-review-full-review

31392
from sickn33/antigravity-awesome-skills

Use when working with comprehensive review full review

code-review-ai-ai-review

31392
from sickn33/antigravity-awesome-skills

You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, C

cc-skill-security-review

31355
from sickn33/antigravity-awesome-skills

This skill ensures all code follows security best practices and identifies potential vulnerabilities. Use when implementing authentication or authorization, handling user input or file uploads, or creating new API endpoints.

vibers-code-review

31392
from sickn33/antigravity-awesome-skills

Human review workflow for AI-generated GitHub projects with spec-based feedback, security review, and follow-up PRs from the Vibers service.

requesting-code-review

31392
from sickn33/antigravity-awesome-skills

Use when completing tasks, implementing major features, or before merging to verify work meets requirements

performance-testing-review-multi-agent-review

31392
from sickn33/antigravity-awesome-skills

Use when working with performance testing review multi agent review

performance-testing-review-ai-review

31392
from sickn33/antigravity-awesome-skills

You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, C

architect-review

31392
from sickn33/antigravity-awesome-skills

Master software architect specializing in modern architecture

nextjs-best-practices

31392
from sickn33/antigravity-awesome-skills

Next.js App Router principles. Server Components, data fetching, routing patterns.

network-101

31392
from sickn33/antigravity-awesome-skills

Configure and test common network services (HTTP, HTTPS, SNMP, SMB) for penetration testing lab environments. Enable hands-on practice with service enumeration, log analysis, and security testing against properly configured target systems.

neon-postgres

31392
from sickn33/antigravity-awesome-skills

Expert patterns for Neon serverless Postgres, branching, connection pooling, and Prisma/Drizzle integration

nanobanana-ppt-skills

31392
from sickn33/antigravity-awesome-skills

AI-powered PPT generation with document analysis and styled images