Explorar skills

Interpretabilidade e explicabilidade de modelos usando SHAP (SHapley Additive exPlanations). Use esta skill para explicar previsões de modelos de machine learning, calcular a importância de features, gerar gráficos SHAP, depurar modelos, analisar viés ou justiça, comparar modelos e implementar IA explicável. É compatível com modelos baseados em árvores.

Pre-build decision intelligence. Produces opinionated decision brief — the senior- consultant week-1 output before scope, stack, or approach are locked. Surfaces traps and edges, calibrated to project scope (prototype vs production vs enterprise). Use when user says '/recon', 'what to watch out for building X', 'where's the edge', 'common mistakes with X', starts a new project, or hits domain unce

Search DrugBank comprehensive drug database with natural language queries. Drug mechanisms, interactions, and safety data powered by Valyu.

Consulta a API STRING para interações proteína-proteína (59M proteínas, 20B interações). Realiza análise de rede, enriquecimento GO/KEGG e descoberta de interações em mais de 5000 espécies para biologia de sistemas.

Skill for interface design (dashboards, admin panels, SaaS apps, tools) focusing on craft and consistency. Use when building product interfaces, internal tools, or complex UI systems that require intentional design decisions about hierarchy, layout, and component behavior.

Eliminate AI-generated writing patterns that erode reader trust. Activate when writing articles, documentation, press releases, or any content where AI patterns would undermine credibility. For journalists using AI assistance who need human-sounding output.

Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles

· Build/critique frontend UIs with taste, rejecting AI design tells. Mobile-first, touch-aware, dark+light. Triggers: 'frontend', 'ui', 'ux', 'css', 'tailwind', 'landing page', 'design review'. Not for code logic (code-review).

When the user needs to design or evaluate system architecture — service boundaries, data models, API contracts, infrastructure topology, database selection, or dependency analysis. Also activate for "design the system", "how should I architect this", "monolith vs microservices", or architecture decision records.

scRNA-seq with Scanpy: QC, normalization, HVG selection, PCA, neighborhood graph, UMAP/t-SNE, Leiden clustering, markers, cell annotation, trajectory inference. Standard scRNA-seq exploration.

Expert SQL query generation for DBX Studio. Use when writing, optimizing, or debugging SQL queries against user database connections.

This skill should be used when writing tests, validating features, or needing to verify code works. Triggers on "write tests", "add test coverage", "validate feature", "integration test", "end-to-end", "e2e test", "mock", "unit test". Enforces scenario-driven testing with real dependencies in .scratch/ directory.