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Code Review

Listed
davila7·vlatest·backend·MIT

Automates Python/Java backend code reviews, identifying potential bugs, style issues, and suggesting improvements based on best practices.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill code-review -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 457 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as davila7/claude-code-templates.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The davila7-code-review skill enables AI agents to analyze and provide feedback on backend code. It identifies potential bugs, performance issues, and style inconsistencies, helping developers improve code quality before deployment.

When to use it

  • Before merging a pull request to catch issues early in the development cycle
  • When refactoring legacy code to ensure consistency and maintainability
  • To review third-party or contributed code for adherence to project standards
  • During sprint planning to assess technical debt in existing codebases

Key capabilities

  • Static code analysis for common backend languages (e.g., Python, JavaScript)
  • Detection of potential bugs and edge cases
  • Performance optimization suggestions
  • Code style and formatting checks based on standard conventions
  • Integration with version control systems for automated reviews

Example prompts

  • "Review this Python function for possible memory leaks or performance issues."
  • "Check the Node.js code for adherence to PEP8 standards and suggest fixes."
  • "Analyze this REST API endpoint implementation for security vulnerabilities."

Tips & gotchas

  • Ensure that the code being reviewed is up-to-date with the latest branch to avoid outdated analysis.
  • While the skill provides helpful suggestions, it should not replace manual testing or peer review for critical systems.