Enforce conventional commits and pre-commit checks before Git commits.
npx skills add https://github.com/xxthunder/shortcuts --skill commit-helper-xxthunder
Please help me install this Agent Skill. Skill: commit-helper Source: https://github.com/xxthunder/shortcuts/tree/main/.claude/skills/commit-helper Command: npx skills add https://github.com/xxthunder/shortcuts --skill commit-helper-xxthunder
The Commit Helper guides developers to create conventional commits and ensures mandatory pre-commit checks are run before each commit, reducing integration issues and review overhead.
Run the pre-commit suite before you commit to enforce checks and conventional-commit formatting
High-intent search queries and answers about installing and using this skill.
To enforce conventional commits, the Skill validates commit messages against allowed types like feat, fix, docs, and refactor, and runs mandatory pre-commit checks before accepting the commit. This ensures format compliance and code quality.
Yes, you can run linting and unit tests automatically before committing code. The Skill triggers these pre-commit checks automatically to ensure code quality, running integration tests when applicable, to prevent integration issues.
The conventional commits format structures commit messages using specific types like feat, fix, docs, style, and chore. You need it in Git workflows and CI pipelines to standardize commit history, reducing review overhead and integration issues.
Yes, this pre-commit check tool works with CI pipelines and standard Git workflows. It is designed for teams using Git and CI pipelines that require tests and linting prior to commit, ensuring code passes checks before integration.
To set up the automation, you need a SKILL.md file with YAML frontmatter containing at least a name and description. You may also reference optional resources in scripts/, references/, and assets/ directories as needed for your workflow.
Yes, you can credit AI contributions using co-authoring in conventional commits. The Skill supports co-authoring with AI to credit contributions accurately, which improves collaboration and maintains a clear history of AI-assisted code changes.
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