It sounds like you're diving into the world of using Claude AI's skills to enhance your development workflow. Here’s a summary and some key points about each skill mentioned:
Skill 1: smart-commit — Conventional Commit Messages
Purpose: To generate conventional commit messages based on changes in the working tree.
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Pros:
- Generates clear, descriptive commit messages.
- Integrates with Git history for context.
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Cons:
- Focuses solely on commit message generation.
- Does not perform a code review or security audit.
Skill 2: review-pr — Security and Quality Checks
Purpose: To conduct structured reviews of pull requests, focusing on security and quality checks.
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Pros:
- Provides severity-ranked findings (Critical, Warning, Suggestion).
- Identifies SQL locking hazards.
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Cons:
- Does not generate a GitHub pull request description.
- Requires code changes to inspect.
Skill 3: draft-pr — Structured Pull Request Summaries and Test Plans
Purpose: To summarize commit intent and create clear explanations for reviewers, including test plans.
- Pros:
- Uses Git history and GitHub CLI context.
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