code-review-expert

sanyuan0704/sanyuan-skills · updated Apr 8, 2026

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$npx skills add https://github.com/sanyuan0704/sanyuan-skills --skill code-review-expert
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summary

Expert code review of current git changes with a senior engineer lens.

  • Detects SOLID violations (SRP, OCP, LSP, ISP, DIP), architecture smells, and proposes incremental refactors with clear rationale
  • Scans for security risks including injection, XSS, AuthZ gaps, race conditions, and unsafe deserialization with exploitability assessment
  • Identifies removal candidates and unused code with safe deletion vs. deferred plans and concrete follow-up checkpoints
  • Flags code quality issues: e
skill.md

Code Review Expert

Overview

Perform a structured review of the current git changes with focus on SOLID, architecture, removal candidates, and security risks. Default to review-only output unless the user asks to implement changes.

Severity Levels

Level Name Description Action
P0 Critical Security vulnerability, data loss risk, correctness bug Must block merge
P1 High Logic error, significant SOLID violation, performance regression Should fix before merge
P2 Medium Code smell, maintainability concern, minor SOLID violation Fix in this PR or create follow-up
P3 Low Style, naming, minor suggestion Optional improvement

Workflow

1) Preflight context

  • Use git status -sb, git diff --stat, and git diff to scope changes.
  • If needed, use rg or grep to find related modules, usages, and contracts.
  • Identify entry points, ownership boundaries, and critical paths (auth, payments, data writes, network).

Edge cases:

  • No changes: If git diff is empty, inform user and ask if they want to review staged changes or a specific commit range.
  • Large diff (>500 lines): Summarize by file first, then review in batches by module/feature area.
  • Mixed concerns: Group findings by logical feature, not just file order.

2) SOLID + architecture smells

  • Load references/solid-checklist.md for specific prompts.
  • Look for:
    • SRP: Overloaded modules with unrelated responsibilities.
    • OCP: Frequent edits to add behavior instead of extension points.
    • LSP: Subclasses that break expectations or require type checks.
    • ISP: Wide interfaces with unused methods.
    • DIP: High-level logic tied to low-level implementations.
  • When you propose a refactor, explain why it improves cohesion/coupling and outline a minimal, safe split.
  • If refactor is non-trivial, propose an incremental plan instead of a large rewrite.

3) Removal candidates + iteration plan

  • Load references/removal-plan.md for template.
  • Identify code that is unused, redundant, or feature-flagged off.
  • Distinguish safe delete now vs defer with plan.
  • Provide a follow-up plan with concrete steps and checkpoints (tests/metrics).

4) Security and reliability scan

  • Load references/security-checklist.md for coverage.
  • Check for:
    • XSS, injection (SQL/NoSQL/command), SSRF, path traversal
    • AuthZ/AuthN gaps, missing tenancy checks
    • Secret leakage or API keys in logs/env/files
    • Rate limits, unbounded loops, CPU/memory hotspots
    • Unsafe deserialization, weak crypto, insecure defaults
    • Race conditions: concurrent access, check-then-act, TOCTOU, missing locks
  • Call out both exploitability and impact.

5) Code quality scan

  • Load references/code-quality-checklist.md for coverage.
  • Check for:
    • Error handling: swallowed exceptions, overly broad catch, missing error handling, async errors
    • Performance: N+1 queries, CPU-intensive ops in hot paths, missing cache, unbounded memory
    • Boundary conditions: null/undefined handling, empty collections, numeric boundaries, off-by-one
  • Flag issues that may cause silent failures or production incidents.

6) Output format

Structure your review as follows:

## Code Review Summary

**Files reviewed**: X files, Y lines changed
**Overall assessment**: [APPROVE / REQUEST_CHANGES / COMMENT]

---

## Findings

### P0 - Critical
(none or list)

### P1 - High
1. **[file:line]** Brief title
  - Description of issue
  - Suggested fix

### P2 - Medium
2. (continue numbering across sections)
  - ...

### P3 - Low
...

---

## Removal/Iteration Plan
(if applicable)

## Additional Suggestions
(optional improvements, not blocking)

Inline comments: Use this format for file-specific findings:

::code-comment{file="path/to/file.ts" line="42" severity="P1"}
Description of the issue and suggested fix.
::

Clean review: If no issues found, explicitly state:

  • What was checked
  • Any areas not covered (e.g., "Did not verify database migrations")
  • Residual risks or recommended follow-up tests

7) Next steps confirmation

After presenting findings, ask user how to proceed:

---

## Next Steps

I found X issues (P0: _, P1: _, P2: _, P3: _).

**How would you like to proceed?**

1. **Fix all** - I'll implement all suggested fixes
2. **Fix P0/P1 only** - Address critical and high priority issues
3. **Fix specific items** - Tell me which issues to fix
4. **No changes** - Review complete, no implementation needed

Please choose an option or provide specific instructions.

Important: Do NOT implement any changes until user explicitly confirms. This is a review-first workflow.

Resources

references/

File Purpose
solid-checklist.md SOLID smell prompts and refactor heuristics
security-checklist.md Web/app security and runtime risk checklist
code-quality-checklist.md Error handling, performance, boundary conditions
removal-plan.md Template for deletion candidates and follow-up plan
how to use code-review-expert

How to use code-review-expert on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add code-review-expert
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/sanyuan0704/sanyuan-skills --skill code-review-expert

The skills CLI fetches code-review-expert from GitHub repository sanyuan0704/sanyuan-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/code-review-expert

Reload or restart Cursor to activate code-review-expert. Access the skill through slash commands (e.g., /code-review-expert) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.729 reviews
  • Neel Mehta· Dec 24, 2024

    code-review-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Dev Reddy· Dec 20, 2024

    I recommend code-review-expert for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Dhruvi Jain· Dec 12, 2024

    Useful defaults in code-review-expert — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Dev Anderson· Nov 11, 2024

    Keeps context tight: code-review-expert is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Oshnikdeep· Nov 3, 2024

    code-review-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ganesh Mohane· Oct 22, 2024

    Keeps context tight: code-review-expert is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Xiao Ndlovu· Oct 2, 2024

    code-review-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Rahul Santra· Sep 5, 2024

    Registry listing for code-review-expert matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Min Sharma· Sep 1, 2024

    code-review-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Pratham Ware· Aug 24, 2024

    code-review-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.

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