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The Metabolomics Workbench is a comprehensive NIH Common Fund-sponsored platform hosted at UCSD that serves as the primary repository for metabolomics research data. It provides programmatic access to over 4,200 processed studies (3,790+ publicly available), standardized metabolite nomenclature through RefMet, and powerful search capabilities across multiple analytical platforms (GC-MS, LC-MS, NMR).

Retrieve comprehensive chemical compound data with proper disambiguation and cross-database validation.

The Human Interface Guidelines (HIG) define Apple's design philosophy and provide concrete guidance for creating intuitive, accessible, platform-appropriate experiences across all Apple devices.

scvi-tools is a comprehensive Python framework for probabilistic models in single-cell genomics. Built on PyTorch and PyTorch Lightning, it provides deep generative models using variational inference for analyzing diverse single-cell data modalities.

Pysam is a Python module for reading, manipulating, and writing genomic datasets. Read/write SAM/BAM/CRAM alignment files, VCF/BCF variant files, and FASTA/FASTQ sequences with a Pythonic interface to htslib. Query tabix-indexed files, perform pileup analysis for coverage, and execute samtools/bcftools commands.

Hono provides a powerful middleware system with an "onion" execution model. Middleware processes requests before handlers and responses after handlers, enabling cross-cutting concerns like authentication, logging, and CORS.

Expert market research skill — from market sizing and competitive analysis through consumer research and professional consulting-grade reports with LaTeX formatting and visual generation.

This skill helps you run automated liquidity provision strategies on concentrated liquidity (CLMM) DEXs using Hummingbot API.

Analyze Elastic Security alerts one at a time: gather context, classify, create a case, and acknowledge. This skill depends on the case-management skill for case creation.

Use the Figma MCP server for Figma-driven implementation. For setup and debugging details (env vars, config, verification), see references/figma-mcp-config.md.