Desenvolvimento

Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.

Phase 7 — Test Strategy with pyramid, coverage gates, load tests, and Critical User Journeys

Use when implementing any feature or bugfix, before writing implementation code - write the test first, watch it fail, write minimal code to pass; ensures tests actually verify behavior by requiring failure first

Linha de base de monitoramento de tráfego em tempo de execução do Hermes para inspeção de proxy opcional, detecção de tráfego de saída e uma postura de tráfego com reconhecimento de atestado.

Remove AI-generated code slop from branches. Use after AI-assisted coding

Resumo inteligente de notícias de IA. Captura, traduz e analisa automaticamente as últimas tendências no campo da IA.

Gera boilerplate de teste abrangente seguindo as convenções TDD do projeto, ideal para criar novos testes para módulos, classes ou funções. Cria automaticamente testes com estrutura adequada, dicas de tipo, docstrings e o padrão AAA.

Mutation-driven test vector generation. Finds implementations of a cryptographic algorithm or protocol, runs mutation testing to identify escaped mutants, then generates new test vectors that deliberately exercise the uncovered code paths. Compares before/after mutation kill rates to prove vector effectiveness. Use when generating cryptographic test vectors, measuring Wycheproof coverage gaps, fin

Phase 3 — Risk Matrix with STRIDE threat modeling and technical risk catalog

Autonomous deep-work agent loop for driving projects forward. Each invocation: reads project state, applies critical expert thinking, executes one focused unit of work, persists to notebook + PROJECT_STATE.md. Sets up /loop cron on first run (default 10m). Three-tier confidence gate (GREEN/YELLOW/RED) blocks action when human input is needed. Invoke ONLY via /liquid-cat-physics or 'lcp' — do NOT t

Debug complex issues using competing hypotheses with parallel investigation, evidence collection, and root cause arbitration. Use this skill when debugging bugs with multiple potential causes, performing root cause analysis, or organizing parallel investigation workflows.

Set up a controlled RAG evaluation harness. Use when starting a new RAG benchmarking project, adding a new retrieval architecture to an existing benchmark, or evaluating a retrieval change against a stable baseline. The skill enforces fixing all components except the architecture under test, which is the methodological prerequisite for a meaningful comparison.