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9.836 skills encontradas
e2e-testing
End-to-end testing workflow with Playwright for browser automation, visual regression, cross-browser testing, and CI/CD integration.
bats-testing-patterns
Master Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.
test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
code-review
Perform code reviews following Sentry engineering practices. Use when reviewing pull requests, examining code changes, or providing feedback on code quality. Covers security, performance, testing, and design review.
plan-directory
Create or update a structured plan directory with a master PLAN.md index and numbered task files (001-*.md). Each task file includes goal, dependencies, scope, checklist, tests, and completion criteria. Use when scaffolding a repeatable project plan in markdown, especially when the user wants a master index plus per-task files with checkboxes that are checked off as work completes.
cluster-health
Verifica a saúde do cluster Kubernetes com diagnósticos somente leitura. É acionado por termos como 'cluster health', 'health check', 'cluster status', 'diagnostics', 'post-maintenance' e 'node status', mas não é para manifestos/IaC.
code-review
· Review code for correctness: bugs, edge cases, races, leaks, regressions. Triggers: 'review', 'code review', 'find bugs', 'check this', 'spot check', 'sanity check'. Not for style/slop (anti-slop) or vulnerabilities (security-audit).
statsmodels
Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided statistical test selection with APA reporting use statistical-analysis.
llm-evaluation
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
health
Code quality dashboard. Wraps existing project tools (type checker, linter, test runner, dead code detector, shell linter), computes a weighted composite 0-10 score, and tracks trends over time. Use when: "health check", "code quality", "how healthy is the codebase", "run all checks", "quality score". (gstack)
vitest-testing
**AI-friendly comprehensive testing guidance for Vitest with practical patterns and behavior-driven development.**
log-experiment
Record a scientific-method entry for an experiment — hypothesis, setup, outcome, lesson. Use before running any non-trivial experiment (new feature, new model, new CV strategy, new agent tactic) so the hypothesis is written down BEFORE the result. Also use when the user says "log experiment", "track this test", or "record the hypothesis".