con un clic
wet-mcp
wet-mcp contiene 4 skills recopiladas de n24q02m, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
Multi-step research orchestration. Use when user asks "research X", "summarize current state of Y", "what's the latest on Z", or compares approaches. Calls extract(action="agent") which searches the web, extracts top results, then synthesises a citation-preserving Markdown answer with one configured LLM.
Detect a project's manifest (pyproject.toml / package.json / go.mod / Cargo.toml), pin its library set into wet-mcp's Cabinets project_context, then route subsequent docs queries to the locked versions automatically.
Structured comparison of 2+ alternatives with consistent criteria and decision matrix
Verify a claim using adversarial search — find both supporting AND contradicting evidence