code-review-excellence
This skill should be used when the user asks to review a diff or pull request, write review comments, audit code quality, establish review standards, or…
Skill by Galaxy-Dawn
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/galaxy-dawn-code-review-excellence
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: security, writing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/code-review-excellence
What's inside
- Skill name
code-review-excellence- Description
- This skill should be used when the user asks to review a diff or pull request, write review comments, audit code quality, establish review standards, or improve how a team performs code review.
- License
- MIT
- Instructions
- 517 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
- Instructions call the network
Agent Skills spec issues
- body: 517 lines (spec recommends under 500)
Files (7)
- SKILL.md
- pr-review-template.md · assets/
- review-checklist.md · assets/
- code-review-best-practices.md · references/
- common-bugs-checklist.md · references/
- security-review-guide.md · references/
- pr-analyzer.py · scripts/
SKILL.md (first lines)
# Code Review Excellence
Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement.
## When to Use This Skill
- Reviewing pull requests and code changes
- Establishing code review standards for teams
- Mentoring junior developers through reviews
- Conducting architecture reviews
- Creating review checklists and guidelines
- Improving team collaboration
- Reducing code review cycle time
- Maintaining code quality standards
## Core Principles
### 1. The Review Mindset
**Goals of Code Review:**
- Catch bugs and edge cases
- Ensure code maintainability
- Share knowledge across team
- Enforce coding standards
- Improve design and architecture
- Build team culture
**Not the Goals:**
- Show off knowledge
- Nitpick formatting (use linters)
- Block progress unnecessarily
- Rewrite to your preference
### 2. Effective Feedback
**Good Feedback is:**
- Specific and actionable
- Educational, not judgmental
- Focused on the code, not the person
- Balanced (praise good work too)
- Prioritized (critical vs nice-to-have)
```markdown
❌ Bad: "This is wrong."
✅ Good: "This could cause a race condition when multiple users
access simultaneously. Consider using a mutex here."
❌ Bad: "Why didn't you use X pattern?"
✅ Good: "Have you considered the Repository pattern? It would
make this easier to test. Here's an example: [link]"
❌ Bad: "Rename this variable."
✅ Good: "[nit] Consider `userCount` instead of `uc` for
clarity. Not blocking if you prefer to keep it."
```
### 3. Review Scope
**What to Review:**
- Logic correctness and edge cases
- Security vulnerabilities
- Performance implications
- Test coverage and quality
- Error handling
- Documentation and comments
- API design and naming
- Architectural fit
**What Not to Review Manually:**
- Code formatting (use Prettier, Black, etc.)
- Import organization
- Linting violations
- Simple typos
## Review Process
### Phase 1: Context Gathering (2-3 minutes)
```markdown
Before diving into code, understand:
1. Read PR description and linked issue
2. Check PR size (>400 lines? Ask to split)
3. Review CI/CD status (tests passing?)
4. Understand the business requirement
5. Note any relevant architectural decisions
```
### Phase 2: High-Level Review (5-10 minutes)
```markdown
1. **Architecture & Design**
- Does the solution fit the problem?
- Are there simpler approaches?
- Is it consistent with existing patterns?
- Will it scale?
2. **File Organization**
- Are new files in the right places?
- Is code grouped logically?
- Are there duplicate files?
3. **Testing Strategy**
- Are there tests?
- Do tests cover edge cases?
- Are tests readable?
```
### Phase 3: Line-by-Line Review (10-20 minutes)
```markdown
For each file:
1. **Logic & Correctness**
- Edge cases handled?
- Off-by-one errors?
- Null/undefined checks?
- Race conditions?From Galaxy-Dawn/claude-scholar, MIT.
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Signals
- Stars
- 5,894
- Forks
- 461
- Open issues
- 1
- Last commit (this folder)
- Mar 18, 2026 (7 months ago)
- Last release
- Feb 25, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Galaxy-Dawn/claude-scholar
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
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Cite this page
code-review-excellence skill. Agent Mart. https://agentmart.dev/skills/galaxy-dawn-code-review-excellence (last updated 2026-10-24)