changeset-validation

What it does

This skill enables AI agents to automatically validate and format changesets before they are committed. It ensures that code modification summaries adhere to specific project standards, preventing invalid or malformed entries from reaching version control systems.

When to use it

• Enforcing strict commit message conventions in monorepos where multiple packages are updated simultaneously.
• Automating the review process for pull requests to catch formatting errors before human intervention.
• Integrating into CI/CD pipelines to block deployments if changeset metadata is incomplete or incorrect.

Key capabilities

• Automatic detection and correction of malformed changeset files.
• Validation against predefined rules for scope, type, and description fields.
• Prevention of invalid commits from being staged or pushed to repositories.

Example prompts

• "Generate a valid changeset file for the breaking change I just made to the authentication module."
• "Review my proposed changeset and fix any formatting errors before I commit."
• "Validate the current state of my repository's changesets against the project's linting rules."

Tips & gotchas

Ensure your development environment has the necessary changeset CLI tools installed locally, as this skill often relies on external command execution to perform deep validation. Be aware that highly complex or non-standard commit histories may require manual overrides if automated parsing fails.