Receiving Code Review
Automates code review feedback generation based on izyanrajwani's style, identifying potential bugs and suggesting improvements.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add izyanrajwani-receiving-code-review npx -- -y @trustedskills/izyanrajwani-receiving-code-review
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"izyanrajwani-receiving-code-review": {
"command": "npx",
"args": [
"-y",
"@trustedskills/izyanrajwani-receiving-code-review"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill enables AI agents to accept and process incoming code reviews, allowing them to analyze feedback, identify suggested changes, and update their development workflow accordingly. It bridges the gap between peer critique and automated implementation by structuring review data for immediate action.
When to use it
- Automating the integration of security audit findings into a CI/CD pipeline.
- Processing design system feedback from senior engineers to trigger refactoring tasks.
- Accepting performance optimization suggestions from code analysis tools without manual intervention.
- Handling peer review comments in collaborative environments where rapid iteration is required.
Key capabilities
- Ingests structured and unstructured code review data.
- Parses specific feedback regarding logic errors, style violations, or architectural concerns.
- Triggers downstream actions based on the severity and type of review comments.
Example prompts
- "Receive the latest code review for the authentication module and summarize all critical security fixes required."
- "Accept the pull request review containing performance bottlenecks and generate a list of functions to optimize."
- "Process the feedback from the design team regarding UI consistency in the new dashboard component."
Tips & gotchas
Ensure the code review data is formatted in a standard protocol (such as Markdown or JSON) to maximize parsing accuracy. This skill complements other testing and development capabilities but does not replace the need for human validation of complex architectural decisions.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.