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Padrões de desenvolvimento de machine learning, treinamento e avaliação de modelos.

Crie belas artes visuais em documentos .png e .pdf usando princípios de design. Utilize esta skill para criar pôsteres, obras de arte, designs ou outras peças estáticas, garantindo sempre designs visuais originais para evitar violações de direitos autorais.

Step-by-step cookbook for setting up cryptographically signed audit trails on Claude Code tool calls. Use when explaining, evaluating, or demonstrating the pattern before committing to the protect-mcp runtime hooks. Covers Cedar policy, Ed25519 receipts, offline verification, tamper detection, CI/CD integration, and SLSA composition.

Estrutura de pontuação para test-kitchen cookoff e omakase-off. É invocada na Fase 4 para avaliar implementações com base em 5 critérios, sendo chamada por cookoff/omakase-off e não devendo ser invocada diretamente.

Look up EMDB cryo-EM density maps and fitted atomic models via the entry REST API + EBI Search WS. Fetch entry metadata (resolution, method, organism, sample), map download URLs, fitted PDB IDs, and citations. Keyword search via EBI Search. No auth. For atomic coordinates use pdb-database; for AlphaFold predictions use alphafold-database-access.

Neovim configuration audit knowledge base. Use when: reviewing config files for issues, checking deprecated APIs, optimizing settings, or performing health checks. Provides checklists, best practices, and version-specific deprecated API detection patterns.

Um wrapper Pythonic para RDKit com interface simplificada e padrões sensatos, ideal para descoberta de fármacos padrão, incluindo análise de SMILES, padronização, descritores, impressões digitais, agrupamento, conformadores 3D e processamento paralelo. Retorna objetos rdkit.Chem.Mol nativos; para controle avançado, use o RDKit diretamente.

Access and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or

Turborepo monorepo build system guidance. Triggers on: turbo.json, task pipelines, dependsOn, caching, remote cache, the "turbo" CLI, --filter, --affected, CI optimization, environment variables, internal packages, monorepo structure/best practices, and boundaries. Use when user: configures tasks/workflows/pipelines, creates packages, sets up monorepo, shares code between apps, runs changed/affect

PC and console game development principles. Engine selection, platform features, optimization strategies.

Bulk RNA-seq DE with R/Bioconductor DESeq2. Negative binomial GLM, empirical Bayes shrinkage, Wald/LRT tests, multi-factor designs, Salmon tximeta import, apeglm LFC shrinkage, MA/volcano/heatmap viz. R gold standard. Use pydeseq2-differential-expression for Python; use edgeR for TMM normalization.

Use this skill when working on the Repomix documentation website in `website/` directory, including VitePress configuration, multi-language content, or translation workflows.