Desenvolvimento

Seleciona vencedores aleatórios de listas, planilhas ou Google Sheets para sorteios, rifas e concursos. Garante uma seleção justa e imparcial com transparência.

Kit de ferramentas para interagir e testar aplicações web locais usando Playwright. Suporta a verificação de funcionalidades de frontend, depuração de comportamento da UI, captura de screenshots do navegador e visualização de logs do navegador.

Padrões de teste em Go, incluindo testes orientados por tabela, subtestes, testes de benchmark, testes de fuzzing e cobertura de teste. Segue uma metodologia TDD com práticas idiomáticas de Go.

Mapeia modelos e fontes dbt de `schema.yml` / `properties.yml` para sobreposições de camada semântica KTX e notas de coluna. Detalha `sources:` vs `models:`, `data_tests` de coluna e como as escritas em tempo de bundle complementam o preenchimento de manifesto, carregando quando `dbt_ingest` está ativo ou arquivos YAML dbt estão presentes.

Tech debt assessment that identifies, classifies, and prioritizes maintainability problems — helping teams build a refactoring roadmap — drawing on twelve classic engineering books. Triggers when: user asks about tech debt, refactoring priorities, what to clean up first, or asks "why is this so hard to change?", "what should we fix first?", or "how do I justify refactoring to management?". Do NOT

Test quality review drawing on twelve classic engineering books — with primary focus on xUnit Test Patterns, The Art of Unit Testing, How Google Tests Software, and Working Effectively with Legacy Code — that diagnoses structural problems in an existing test suite: brittleness, mock abuse, coverage illusions, slow execution, poor readability. Triggers when: user asks about test quality, shares tes

Scaffold a new brooks-lint analysis skill so it passes `npm run validate` and `npm run evals` on the first try — generates skills/{name}/SKILL.md (with the mandatory "Do NOT trigger for:" clause and a Process section citing guide step ranges) plus skills/{name}/{name}-guide.md (sequentially numbered steps), then appends paired eval scenarios. Triggers when the maintainer asks to "add a new skill",

Full-sweep mode: runs a unified analysis across all quality dimensions — code decay, architecture, tech debt, and test quality — then applies fixes directly to the codebase. Safe changes are auto-applied; risky changes are confirmed before execution. Drawing on twelve classic engineering books. Triggers when: user wants to "fix everything", "sweep the codebase", "auto-fix all issues", "clean up th

Cut a brooks-lint release: set the version in package.json, propagate it across all four plugin manifests + README badge, write the CHANGELOG entry, validate, then commit, push, tag, and publish the GitHub release. Triggers when the maintainer asks to "release", "cut a release", "ship a new version", or "bump and publish" brooks-lint. Do NOT trigger for: propagating an already-decided version with

Combined codebase health dashboard that scores a project across all four quality dimensions — PR quality, architecture, tech debt, and test quality — in a single pass, drawing on twelve classic engineering books. Triggers when: user wants an overall quality assessment, asks "how healthy is this codebase?", "run all the checks", "I need a health score before the release", or wants to onboard a new

29 production-ready scripts for iOS app testing, building, and automation. Provides semantic UI navigation, build automation, accessibility testing, and simulator lifecycle management. Optimized for AI agents with minimal token output.

Sistema de autoaprendizagem que captura correções durante as sessões e lembra os usuários de executar /reflect para atualizar CLAUDE.md. Use ao discutir aprendizados, correções ou quando o usuário menciona lembrar algo para sessões futuras.