More screenshots
Works with the AI Agents you already use
Review Code Like A Senior Engineer
Want high-quality code reviews like a senior engineer?
$1
Review Code Like A Senior Engineer
Example session with this skill installed
Review this Python function: def add_user(u): users.append(u); print('Added user'); return True
- Read your context and instructions
- Compiled the review code like
Summary
Simple user addition function with global state dependency.
Issues
- Uses global variable 'users' which is hard to test.
Improvements
- Add type hinting for parameters.
Refactoring Suggestions
- Pass the user list as a dependency.
Connects securely to your tools. The creator never sees your data.
About this skill
Want high-quality code reviews like a senior engineer?
This skill analyzes your code and provides structured, actionable feedback including issues, improvements, and best practices.
- Identify bugs and issues
- Suggest improvements
- Improve code quality
- Perfect for developers and teams
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse All Claude Skills.
- Cannot run or execute code to verify runtime behavior.
- Lacks context of the full external repository or private libraries.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before buying a skill.
Reviews
No reviews yet
Be one of the first to try it. Every listed skill goes through the trust checks below.
Security scanned
Checked by our 8-point scan before listing
Fresh listing
Recently published to Agensi
Money-back guarantee
Doesn't do what its page promises? You get your money back.
Trust & safety
Security scan
Security scan passed 3 months ago
Permissions
Permissions are limited to the active local workspace and are used to inspect user-supplied or local workspace files. The skill package does not require bundled credentials, unrestricted external network access, or automatic production changes.