check

To automate code validation before a commit, run a multi-stage pipeline that executes linting, testing, code review, and documentation checks sequentially. This ensures your Python and shell scripts meet quality standards before integration.

A pre-commit code quality check pipeline includes sequential stages for linting, testing, code review, and documentation validation. It intelligently handles project scope and file batching to verify formatting and test coverage across your scripts.

Yes, you can run automated CI/CD checks on Python and shell scripts. The validation pipeline adapts to your project size and input paths, executing file batching for optimal performance during linting and testing.

To ensure documentation checks pass during code review, execute a validation pipeline that verifies documentation is up-to-date alongside linting and testing. This confirms your project integrity and prevents committing outdated references.

Yes, the check skill works with large project scopes by intelligently handling project size and input paths. It utilizes smart file batching to execute linting, testing, and code review efficiently across your entire codebase.