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Safely refactor code with test coverage as a safety net
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Find and fix a bug or issue — from any source (GitHub issue, error message, user report, or observed behavior)
Review code changes or a pull request — delegates to specialist agents for code quality, security, performance, and documentation.
Scan changes, commit, push, and create a PR — with confirmation at each step
Test-Driven Development loop — write a failing test first, then the minimum code to pass it, then refactor. Repeat.
Write comprehensive tests for new or changed code. Use automatically when new features are added, functions are created, or behavior is modified.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
| name | refactor |
| description | Safely refactor code with test coverage as a safety net |
| argument-hint | [target to refactor — file, function, or pattern] |
| disable-model-invocation | true |
Refactor $ARGUMENTS safely.
