Code Review Excellence

---
name: code-review-excellence-22707d872965
description: "Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement."
risk: safe
source: community
date_added: "2026-02-27"
---

# Code Review Excellence

Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement.

## Use this skill when

- Reviewing pull requests and code changes
- Establishing code review standards
- Mentoring developers through review feedback
- Auditing for correctness, security, or performance

## Do not use this skill when

- There are no code changes to review
- The task is a design-only discussion without code
- You need to implement fixes instead of reviewing

## Instructions

- Read context, requirements, and test signals first.
- Review for correctness, security, performance, and maintainability.
- Provide actionable feedback with severity and rationale.
- Ask clarifying questions when intent is unclear.
- If detailed checklists are required, open `resources/implementation-playbook.md`.

## Output Format

- High-level summary of findings
- Issues grouped by severity (blocking, important, minor)
- Suggestions and questions
- Test and coverage notes

## Resources

- `resources/implementation-playbook.md` for detailed review patterns and templates.

---

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## AGI Framework Integration

> **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)**
> Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills)

### Memory-First Protocol

Retrieve prior test strategies, known flaky tests, and coverage gaps. Cache test infrastructure setup to avoid re-configuring test environments.

```bash
# Check for prior testing/QA context before starting
python3 execution/memory_manager.py auto --query "test patterns and coverage strategies for Code Review Excellence"
```

### Storing Results

After completing work, store testing/QA decisions for future sessions:

```bash
python3 execution/memory_manager.py store \
  --content "Testing strategy: integration tests hit real DB (no mocks), 85% line coverage, mutation testing on critical paths" \
  --type technical --project <project> \
  --tags code-review-excellence testing
```

### Multi-Agent Collaboration

Share test results and coverage reports with code review agents so they can verify adequate coverage on changed code.

```bash
python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "QA complete — test suite expanded with 12 new integration tests, all passing" \
  --project <project>
```

### TDD Enforcement

This skill integrates with the framework's iron-law RED-GREEN-REFACTOR cycle. No production code without a failing test first.

### Agent Team: QA

Dispatch `qa_team` to generate tests and verify they pass before marking implementation complete.

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