Desenvolvimento
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bio-experimental-design-multiple-testing
Applies multiple testing correction methods including FDR, Bonferroni, and q-value for genomics data. Use when filtering differential expression results, setting significance thresholds, or choosing between correction methods for different study designs.
dev-cycle
· Run dev workflow: branch, implement, lint/test, review, docs, PR, merge, release. Triggers: 'start working', 'kick off', 'wrap up', 'ship this', 'ready to ship'. Not for single git ops (use git).
async-python-patterns
Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
plan-enterprise
Complete 8-phase enterprise software planning cycle for mission-critical systems
testing
Escreve e depura diversos tipos de testes, como unitários, de integração, E2E, TDD, mocks, fixtures, acessibilidade e performance. É acionado por termos como 'test', 'spec', 'TDD', 'playwright', 'vitest', 'jest', 'pytest', 'coverage' e 'flaky', mas não é para testes de segurança.
git-advanced-workflows
Master advanced Git workflows including rebasing, cherry-picking, bisect, worktrees, and reflog to maintain clean history and recover from any situation. Use when managing complex Git histories, collaborating on feature branches, or troubleshooting repository issues.
debugging
Comprehensive debugging specialist for errors, test failures, log analysis,
completion-integrity
Prevents shortcuts and cheating when completing tasks. Blocks commits with warning suppressions, commented tests, or deleted assertions.
tdd-workflows-tdd-red
Generate failing tests for the TDD red phase to define expected behavior and edge cases.
screen-reader-testing
Test web applications with screen readers including VoiceOver, NVDA, and JAWS. Use when validating screen reader compatibility, debugging accessibility issues, or ensuring assistive technology support.
test-failing-test
Message to print before failing
python-performance-optimization
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.