Agent Skills: Code Standards Review

Code quality standards and style guide for reviewing pull requests

UncategorizedID: mastra-ai/mastra/code-standards

Repository

mastra-aiLicense: NOASSERTION
22,3231,790

Install this agent skill to your local

pnpm dlx add-skill https://github.com/mastra-ai/mastra/tree/HEAD/templates/template-github-review-agent/workspace/skills/code-standards

Skill Files

Browse the full folder contents for code-standards.

Download Skill

Loading file tree…

templates/template-github-review-agent/workspace/skills/code-standards/SKILL.md

Skill Metadata

Name
code-standards
Description
Code quality standards and style guide for reviewing pull requests

Code Standards Review

When reviewing code, follow this structured process:

Step 1: Critical Issues

Check for issues that MUST be fixed before merging:

  • Logic bugs and incorrect behavior
  • Missing error handling for failure cases
  • Race conditions or concurrency issues
  • Unhandled edge cases (null, undefined, empty arrays, boundary values)
  • Breaking API changes without migration path

Step 2: Code Quality

Evaluate overall code quality:

  • Functions should do one thing and be reasonably sized (< 50 lines preferred)
  • Avoid code duplication — look for repeated patterns that should be abstracted
  • Use descriptive, meaningful names for variables, functions, and types
  • Prefer explicit types over any in TypeScript
  • Ensure proper use of async/await (no floating promises, proper error propagation)

Step 3: Style Guide Conformance

Check against the style guide in references/style-guide.md:

  • Naming conventions
  • Code organization and import ordering
  • Comment quality (explain "why", not "what")

Step 4: Linting Flags

Flag these patterns:

  • var usage (should be const or let)
  • Leftover console.log or debugger statements
  • Commented-out code blocks
  • Magic numbers without named constants
  • TODO or FIXME comments without issue references

Output Format

Structure your feedback as:

  1. Summary: 1-2 sentence overview of the changes and overall quality
  2. Critical Issues: Must-fix problems with file path and line numbers
  3. Suggestions: Improvements that would make the code better
  4. Positive Notes: Good patterns and decisions worth acknowledging