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Found 1,076 Skills
When dealing with python code, these guidelines must always be followed.
Set up and configure Git pre-commit hooks for code quality, secrets scanning, and commit message validation. Use when installing git hooks, configuring pre-commit checks, or enforcing code standards.
TDD enforcement during implementation. Reads `tdd:` setting from CLAUDE.md. Modes - strict (human approval for escape), soft (warnings), off (disabled). Auto-invoked by /implement.
Removes AI-generated code slop from git diffs to maintain code quality
Software engineering best practices for code review. Use when reviewing code, analyzing code quality, checking for bugs, security vulnerabilities, or providing feedback on code changes.
Check code quality and formatting before committing changes
Unified code review system — dispatches the right review agents for the situation. Use when reviewing code for quality, bugs, compliance, or before merging.
Review Python code for quality, security, and best practices
Production-ready code implementation following approved designs. Writes clean, tested, documented code. Zero linting violations. All code includes tests.
Use this skill after completing multiple, complex software development tasks before informing the user that work is complete.
Load PROACTIVELY when task involves investigating errors, diagnosing failures, or tracing unexpected behavior. Use when user says "debug this", "fix this error", "why is this failing", "trace this issue", or "it's not working". Covers error message and stack trace analysis, runtime debugging, network request inspection, state debugging, performance profiling, type error diagnosis, build failure resolution, and root cause analysis with memory-informed pattern matching against past failures.
Code review and quality analysis skill. Used to review code, identify potential issues, and provide improvement suggestions. Activated when users request code review, code quality analysis, or best practice recommendations.