bg-szy

Statistical testing for differentially abundant proteins between conditions. Covers limma and MSstats workflows with multiple testing correction. Use when identifying proteins with significant abundance changes between experimental groups.

Linux system troubleshooting workflow for diagnosing and resolving system issues, performance problems, and service failures.

Esta skill ajuda os usuários a extrair automaticamente dados estruturados de notícias do Google Notícias via API BrowserAct. Ela é aplicada quando os usuários precisam pesquisar notícias, acompanhar tendências, monitorar relações públicas ou sentimento, coletar atualizações de concorrentes ou monitorar a exposição da marca na mídia.

Guia especializado para usar as ferramentas n8n-mcp MCP de forma eficaz, seja para buscar nós, validar configurações, acessar modelos ou gerenciar fluxos de trabalho. Oferece orientação na seleção de ferramentas, formatos de parâmetros e padrões comuns.

將提示詞和程式碼從 Claude Sonnet 4.0、Sonnet 4.5 或 Opus 4.1 遷移至 Opus 4.5。當使用者想要更新其程式碼庫、提示詞或 API 呼叫以使用 Opus 4.5 時使用。處理模型字串更新和針對已知 Opus 4.5 行為差異的提示詞調整。不會遷移 Haiku 4.5。

Identifies dependencies at heightened risk of exploitation or takeover. Use when assessing supply chain attack surface, evaluating dependency health, or scoping security engagements.

Custom test patterns and fixtures for {project}. Covers E2E, integration, and specialized testing requirements.

Predict enhancer-gene regulatory connections from ATAC-seq using ABC, ENCODE-rE2G, HiChIP, or Cicero. Use when linking distal enhancers to target genes, choosing between contact-aware (ABC, ENCODE-rE2G), accessibility-only (Cicero), and orthogonal (HiChIP H3K27ac, EpiMap) approaches, validating predictions against CRISPRi-FlowFISH gold-standard, or building cell-type-specific regulatory maps for f

C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Gera imagens usando o modelo de geração de imagens do Google Gemini para interfaces de usuário frontend, documentação e representações visuais.

Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe