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Comprehensive code review covering security vulnerabilities, performance bottlenecks, best practices, and refactoring opportunities. Use when user requests code review, security audit, or performance analysis.

Design qPCR primers and TaqMan/molecular beacon probes using primer3-py. Configure probe Tm, primer-probe spacing, and hydrolysis probe constraints for real-time PCR assays. Use when designing qPCR primers and probes.

SEO analysis and optimization specialist. Use when conducting technical

Padrões de banco de dados ClickHouse, otimização de consultas, análise e melhores práticas de engenharia de dados para cargas de trabalho analíticas de alto desempenho.

Unified Python interface to 40+ bioinformatics web services: UniProt proteins, KEGG pathways, ChEMBL/ChEBI/PubChem, BLAST, cross-database ID mapping, GO annotations, PPI. For deep single-DB queries use dedicated tools (gget for Ensembl, pubchempy for PubChem); bioservices excels at cross-database workflows.

Add new core business logic functions to Catalyst-Relay. Use when creating pure functions, ADT operations, or library-consumable code.

Transforms vague UI ideas into polished, Stitch-optimized prompts. Enhances specificity, adds UI/UX keywords, injects design system context, and structures output for better generation results.

Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions.

Autonomous penetration testing coordinator using ReAct methodology. Automatically activates when user provides a target IP or asks to start penetration testing. Orchestrates reconnaissance, exploitation, and privilege escalation until both user and root flags are captured. (project)

Um framework de agente de IA biomédico autônomo para executar tarefas de pesquisa complexas em genômica, descoberta de medicamentos, biologia molecular e análise clínica. Use esta skill para pesquisa biomédica multi-etapas, incluindo design de triagem CRISPR, análise de RNA-seq de célula única, previsão ADMET e otimização de protocolo de laboratório, aproveitando o raciocínio de LLM.

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.

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