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wet-mcp
wet-mcp contains 4 collected skills from n24q02m, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
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