Receiving Code Review

🌐Community
by zenobi-us · vlatest · Repository

Automates code review feedback generation based on established Zenobi-US coding standards for efficient testing workflows.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add zenobi-us-receiving-code-review npx -- -y @trustedskills/zenobi-us-receiving-code-review
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "zenobi-us-receiving-code-review": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/zenobi-us-receiving-code-review"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

The receiving-code-review skill enables AI agents to accept and process code review feedback, allowing them to update their implementations based on reviewer suggestions. It facilitates a collaborative workflow where agents can integrate human or automated critique directly into their development cycle without manual intervention.

When to use it

  • An agent finishes a feature implementation and needs to incorporate specific stylistic or logical corrections from a senior developer.
  • Automated testing pipelines fail, requiring the agent to analyze error logs and apply suggested fixes to the source code.
  • A team wants to simulate peer review processes where an AI agent iterates on code until it meets defined quality standards.

Key capabilities

  • Accepts incoming code review comments and suggestions.
  • Updates local codebase state based on review feedback.
  • Handles iterative refinement loops for software development tasks.

Example prompts

  • "I have completed the login module; please run a code review and apply any necessary fixes to improve security."
  • "Here is the latest version of the API handler; analyze it against our style guide and update the code if issues are found."
  • "Review this function for potential race conditions and modify the implementation to address the identified bugs."

Tips & gotchas

Ensure the AI agent has read/write access to the repository or file system where the code review feedback is applied. This skill is most effective when paired with a separate code generation or analysis skill that provides the initial critique.

Tags

🛡️

TrustedSkills Verification

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Details

Version
vlatest
License
Author
zenobi-us
Installs
30

🌐 Community

Passed automated security scans.