Explorar skills
69.576 skills encontradas
team-shinchan:ralph
Use when you need persistent looping until a task is fully complete.
harness-validate
Use when user invokes /harness-validate or wants to check whether a harness.yaml file is valid according to the Harness Protocol v1 JSON Schema. Reports validation errors with field paths and helpful fix suggestions.
prove-sop
End-to-end statistical proof loop. Use when the user asks to prove a statistical proposition, when a hypothesis is promoted to a theorem, or when the empirical trunk's reviewer demands a theorem-side gate. This SOP is suggestion-only (per ADR 0007); skip, loop, or interleave with empirical work as the situation calls for.
creating-briefs
Transforms unstructured requests into clear, actionable briefs. Use when writing a brief, preparing a specification, extracting requirements, or clarifying what a task needs.
litestar-mcp
Auto-activate for litestar_mcp imports, LitestarMCP, MCPConfig, MCPController, @mcp_tool, @mcp_resource, JSON-RPC route exposure, route filtering, or OAuth/Guard-protected MCP endpoints. Use when exposing Litestar routes as MCP tools or resources. Not for non-Litestar MCP servers or FastAPI/Django MCP integrations.
team-shinchan:research
Use when you need web research, documentation lookup, or knowledge gathering.
solutioning
Explores solution options when the problem is defined but the approach is unclear. Use when evaluating approaches, comparing alternatives, or choosing between options.
litestar-testing
Auto-activate for test_*.py, conftest.py, litestar.testing imports, TestClient, AsyncTestClient, create_test_client, @pytest.mark.anyio, Guard mocks, DI overrides, or Litestar handler tests. Use when testing Litestar apps, handlers, lifespan, auth, HTMX, Inertia, or database-backed integration flows. Not for generic pytest, Vitest, or non-Litestar test suites.
fix-bug
Run the Fix Validation pipeline to investigate, fix, and validate a bug. Ensures deterministic pipeline execution with IssueAnalyzer, FixWriter, TestWriter (conditional), TestAudit (conditional), and FixValidator stages.
design-engine
Um sistema de design de IA completo com mais de 190 estilos testados, geração de imagens por IA e exportação pixel-perfect. Ele cria conteúdo para redes sociais, PDFs e sites completos a partir de linguagem natural, incluindo integração de marca e um sistema de qualidade de autoavaliação.
research-sop
End-to-end research loop. Use at the start of any new research task; triggers literature review, hypothesis generation, Elo selection, experimentation, and verification.
knowledge-bank-lookup
Delegates knowledge bank lookups to Explore subagents with reflections-first strategy that learns from past mistakes. Checks /reflections/ directory before documentation to extract documented failures to avoid and proven approaches to apply. Automatically triggers when user mentions services ([project-a], [project-b], [project-c], Claude Code), requests investigations, or queries past lessons. Ret