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Production-ready RNA-seq differential expression analysis using PyDESeq2. Performs DESeq2 normalization, dispersion estimation, Wald testing, LFC shrinkage, and result filtering. Handles multi-factor designs, multiple contrasts, batch effects, and integrates with gene enrichment (gseapy) and ToolUniverse annotation tools (UniProt, Ensembl, OpenTargets). Supports CSV/TSV/H5AD input formats and any

智谱AI的视觉语言模型，用于图像分析、内容识别和视觉问答

Security gate for skills. Every new skill MUST pass SkillScan before use. Activate on any install, load, add, evaluate, or safety question about a skill. On first load, run first-run to scan all existing skills. Blocks HIGH/CRITICAL skills. No exceptions.

全球最大的 Claude Code 技能聚合库 · 收录 3900+ 来自 12+ 来源的技能，提供在线搜索与趋势分析看板 / The world's largest Claude Code skill aggregation hub — 3900+ skills from 12+ sources with online search and trend dashboard

A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.

2-layer parallel agent hierarchy. Layer 1 deploys 3-50+ agents, each with independent context. Layer 2 adds 2+ sub-agents per member. No upper limit on either layer.

Align protein structures using Foldseek 3Di, TM-align, US-align, DALI, or Foldmason for structural MSA. Predict, score, and superpose backbone coordinates when sequence identity is below the twilight zone or remote-homology detection is required. Use when sequence MSA fails (<25% identity), when the dark proteome is the target, when AlphaFoldDB / ESM Atlas search is needed, or when structural supe

Ativado automaticamente quando o usuário solicita encontrar padrões, identificar código repetido, analisar a arquitetura, ou entender padrões de design, organização de código, estruturas recorrentes ou decisões arquitetônicas.

Um validador de qualidade de documentação para o Logseq Template Graph, que verifica a completude, precisão, formatação, links e consistência. Ele é ativado por solicitações como "validar docs" e oferece feedback acionável com correções específicas para problemas de documentação.

Perform statistical tests, hypothesis testing, correlation analysis, and multiple testing corrections using scipy and statsmodels. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).

Creates optimized meta titles, descriptions, and URL suggestions

Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement