skill-reviewer

What it does

This skill enables AI agents to critically evaluate code, documentation, and other artifacts against specific criteria or best practices. It acts as a quality gate, identifying errors, inconsistencies, or areas for improvement before work is finalized.

When to use it

• Before committing code changes to ensure they meet project standards.
• To validate generated documentation for accuracy and clarity.
• During the review phase of a development workflow to catch edge cases.
• When verifying that AI-generated outputs align with defined constraints.

Key capabilities

• Performs critical evaluation of various content types including code and text.
• Checks artifacts against user-defined criteria or established best practices.
• Identifies specific errors, inconsistencies, and opportunities for enhancement.

Example prompts

• "Review this Python script for potential security vulnerabilities and performance bottlenecks."
• "Evaluate the following technical documentation for clarity and completeness based on our style guide."
• "Critique this proposed feature implementation against the system's architectural constraints."

Tips & gotchas

Ensure you provide clear criteria or context about the specific standards the agent should apply during its review. The skill relies on the quality of the input artifacts; providing well-structured code or text yields more actionable feedback.