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Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.

Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.

Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2

UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.

Analyzes Move language packages against the official Move Book Code Quality Checklist. Use this skill when reviewing Move code, checking Move 2024 Edition compliance, or analyzing Move packages for best practices. Activates automatically when working with .move files or Move.toml manifests.

Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis, LiveKit for real-time infrastructure, and WebRTC fundamentals. Knows how to build low-latency, production-ready voice experiences. Use when: voice ai, voice agent, speech to text, text to speech, realtime voice.

GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.

Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis.

Create Railway projects, services, and databases with proper configuration. Use when user says "setup", "deploy to railway", "initialize", "create project", "create service", or wants to deploy from GitHub. Handles initial setup AND adding services to existing projects. For databases, use railway-railway-database skill instead.

Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications, or conducting bibliometric analysis across 240M+ scholarly works. Use for literature searches, research output analysis, citation analysis, and academic database queries.

This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.

Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.

Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.

Write comprehensive clinical reports including case reports (CARE guidelines), diagnostic reports (radiology/pathology/lab), clinical trial reports (ICH-E3, SAE, CSR), and patient documentation (SOAP, H&P, discharge summaries). Full support with templates, regulatory compliance (HIPAA, FDA, ICH-GCP), and validation tools.

Comprehensive assistance with postgresql development, generated from official documentation.

单元测试编写指南，涵盖 JUnit5/MockK 使用、测试命名规范、Mock 技巧、测试覆盖率要求、TDD 实践。当用户编写单元测试、Mock 依赖、提高测试覆盖率或进行测试驱动开发时使用。

BK-CI 项目设计模式实践指南，涵盖工厂模式、策略模式、观察者模式、装饰器模式、模板方法等在项目中的实际应用。当用户学习设计模式、重构代码、设计可扩展架构或理解项目设计时使用。

BK-CI 数据库设计规范与表结构指南，涵盖命名规范、字段类型选择、索引设计、分表策略、数据归档。当用户设计数据库表、优化索引、规划分表策略或进行数据库架构设计时使用。

微服务基础设施指南，涵盖条件配置、事件驱动架构、服务间通信、国际化与日志等微服务架构的核心基础设施。当用户实现服务间调用、配置多环境、实现异步通信、处理国际化或规范日志输出时使用。

Process 流水线核心模块架构总览，涵盖流水线 CRUD、构建执行引擎、事件驱动机制、分层架构设计。当用户开发流水线核心功能、理解 Process 模块、修改构建逻辑或进行流水线相关开发时使用。