结构脑网络可控性分析实用指南。基于网络控制理论计算平均可控性、模态可控性、最小控制能量等指标，研究脑网络状态转移能力。适用于脑网络分析、神经调控研究、认知控制研究。触发词：脑网络可控性、控制理论、结构连接、控制能量、平均可控性、模态可控性、controllability、control theory、structural brain network。
操作并扩展NanoClaw v2，这是ECC基于claude -p构建的零依赖会话感知REPL。
Gateway to 400+ bioinformatics skills from bioSkills and ClawBio. Covers genomics, transcriptomics, single-cell, variant calling, pharmacogenomics, metagenomics, structural biology, and more. Fetches domain-specific reference material on demand.
Token-optimized structural code search using tree-sitter AST parsing. Use instead of reading full files when you need to understand code structure, find functions, or explore a codebase efficiently.
Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similar
Analyze skin health data, identify skin problem patterns, assess skin health status. Supports correlation analysis with nutrition, chronic diseases, and medication data.
Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis.