Explorar skills

Pipeline smoke test. Use when asked to run a smoke test or pipeline verification.

Use this skill during Phase 5 to execute functional tests, record results, log defects, and validate UX conformance. Logs defects to Git Issues when available, otherwise to markdown (or JSON, per config) under .claude/sdlc/defects/. Reports code coverage against the configured threshold. Triggered after build is signed off and before deploy. Also trigger when the user says "run tests", "report cov

Crie, corrija, otimize e depure sites WordPress utilizando uma pilha padrão que inclui Astra, Elementor Pro e ACF. Esta skill é ativada para tarefas de desenvolvimento, otimização, segurança ou SEO de WordPress, ou ao mencionar ferramentas como Elementor ou ACF.

Test code conventions. Modify tests only for genuine spec or architecture changes—never trivialize, skip, or align expected values to a buggy implementation. Avoid implementation branches that depend on specific test data values. Use when writing or modifying test code, or when tests are failing.

Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management. Coordinates cicd-engineer, workflow-automation, tester, and security-auditor agents through mesh topology to create, optimize, and maintain GitHub Actions workflows. Handles workflow generation, performance optimization, security hardening, matrix testing st

SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.

Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.

Gera um dossiê de pesquisa de mercado impresso (HTML + PDF de 8 páginas) para o comprador levar ao concessionário durante o test drive, resumindo o perfil do comprador, comparativos regionais, preço final desejado e referências para contrapropostas.

Dispatches one subagent per independent domain to parallelize investigation/fixes. Use when you have 2+ unrelated failures (e.g., separate failing test files, subsystems, bugs) with no shared state or ordering dependencies.

Detect signatures of natural selection using Fst, Tajima's D, iHS, XP-EHH, and other selection statistics. Calculate population differentiation, test for departures from neutrality, and identify selective sweeps with scikit-allel and vcftools. Use when computing selection signatures like Fst or Tajima's D.

Build maximum likelihood phylogenetic trees using IQ-TREE2 and RAxML-NG with expert model selection, branch support assessment, and topology testing. Use when inferring publication-quality ML trees, selecting substitution models, interpreting bootstrap and concordance factor support, or running partitioned phylogenomic analyses.

AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.