Qlty Check

The qlty-check skill enables AI agents to execute quality assurance checks within software development workflows. It integrates with the QLTY platform to validate code changes, ensuring they meet predefined standards before deployment. This capability streamlines the CI/CD pipeline by automating rigorous testing and reporting processes.

When to use it

• Trigger automated validation immediately after a pull request is created to catch issues early.
• Integrate into continuous integration pipelines to enforce quality gates before merging code.
• Generate detailed reports on code health, security vulnerabilities, and performance metrics.
• Verify that new features adhere to specific architectural or style guidelines defined in the repository.

Key capabilities

• Executes comprehensive static analysis on codebases.
• Provides actionable feedback on potential bugs and security risks.
• Supports integration with various version control systems for seamless workflow automation.
• Delivers structured reports detailing the results of quality checks.

Example prompts

• "Run a full qlty-check on the latest changes in the feature/user-auth branch."
• "Generate a summary report of the recent qlty-check results and highlight any critical failures."
• "Configure qlty-check to enforce new security standards before allowing any code to be merged."

Tips & gotchas

Ensure your repository has QLTY properly configured with relevant rulesets before relying on this skill for validation. While the skill automates checks, it should complement, not replace, manual code reviews for complex logic.