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cloudflare-vectorize
Build semantic search with Cloudflare Vectorize V2. Covers async mutations, 5M vectors/index, 31ms latency, returnMetadata enum changes, and V1 deprecation. Prevents 14 errors including dimension mismatches, TypeScript types, testing setup. Use when: building RAG or semantic search, troubleshooting returnMetadata, V2 timing, metadata index, dimension errors, vitest setup, or wrangler --json output.
ena-database
This skill provides programmatic access to the European Nucleotide Archive for retrieving DNA/RNA sequences, raw reads, and genome assemblies. It documents multiple REST APIs, FTP access, and includes practical examples for common bioinformatics workflows with rate limiting guidance.
single2spatial-spatial-mapping
This skill maps single-cell RNA-seq data onto spatial transcriptomics slides using omicverse's Single2Spatial workflow. It trains deep-forest models to reconstruct spot-level cell proportions and visualize marker expression. The instructions cover training, loading pretrained weights, quality assessment, and result export with troubleshooting guidance.
omicverse-visualization-for-bulk-color-systems-and-single-cell-d
This skill provides guided instructions for using OmicVerse's plotting utilities across bulk RNA-seq, color system management, and single-cell data visualization. It includes specific code examples, data validation steps, and troubleshooting guidance for common errors in bioinformatics workflows.
vaex
This skill provides comprehensive guidance for using Vaex to handle tabular datasets too large for memory. It covers loading data from various formats, performing lazy operations, creating visualizations, and building ML pipelines. The documentation includes specific code patterns, performance comparisons, and troubleshooting advice for common scenarios.
rag-implementation
Provides practical guidance for building RAG systems with vector databases and semantic search. Includes code examples for document loading, chunking, embedding, retrieval, and prompt engineering. Covers multiple vector stores (Chroma, Pinecone, Weaviate) and retrieval strategies (hybrid search, multi-query, contextual compression).
aeon
This skill provides a scikit-learn compatible Python toolkit for time series machine learning tasks. It covers classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search with practical code examples and dataset integration.
streamlit-snowflake
Build and deploy Streamlit apps natively in Snowflake. Covers snowflake.yml scaffolding, Snowpark sessions, multi-page structure, Marketplace publishing as Native Apps, and caller's rights connections (v1.53.0+). Use when building data apps on Snowflake, deploying SiS, fixing package channel errors, authentication issues, cache key bugs, or path resolution errors.
demoify-skill
This skill provides Chrome DevTools MCP integration to modify live web pages for creating clean demo screenshots. It offers specific workflows for text replacement, UI hiding, and screenshot capture with practical examples for Gmail and invoice demos. The documentation includes concrete image ratios and realistic demo data guidelines.
xlsx
This skill enables Claude to create, edit, and analyze Excel files with proper formula usage and formatting. It emphasizes using Excel formulas instead of hardcoded Python calculations, includes financial modeling standards, and provides a LibreOffice-based recalculation script to verify formula correctness and catch errors.
model-tracking-protocol
Provides mandatory tracking protocols for multi-model AI validation workflows. Enforces pre-launch checklists, creates structured tracking tables, documents failures, and performs consensus analysis. Uses file-based markers instead of environment variables for better detection.
jq
This skill provides comprehensive jq usage patterns for JSON manipulation, filtering, and transformation. It covers basic formatting, array operations, API response handling, log analysis, and performance optimization. The documentation includes concrete examples for common development tasks like config extraction, package file modification, and test result parsing.
qiskit
IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip.
ai-stock-insider
A股板块实时研报。全球新闻→A股映射、板块趋势研判、美股关联、利好利空、大事件提醒。零配置可用，输出兼容飞书/扣子/Markdown平台。
dbt-performance
Provides concrete guidance for optimizing dbt models on Snowflake, covering materialization choices, clustering keys, warehouse sizing, and SQL patterns. Includes specific code examples for common performance bottlenecks and troubleshooting steps.
snowflake-platform
Build on Snowflake's AI Data Cloud with snow CLI, Cortex AI (COMPLETE, SUMMARIZE, AI_FILTER), Native Apps, and Snowpark. Covers JWT auth, account identifiers, Marketplace publishing. Prevents 11 documented errors. Use when: Snowflake apps, Cortex AI SQL, Native App publishing. Troubleshoot: JWT auth failures, account locator confusion, memory leaks, AI throttling.
omero-integration
This skill provides a Python-based interface to OMERO, a microscopy data management platform. It enables programmatic access to images, datasets, and metadata, supports ROI creation/analysis, batch processing, and integrates analysis results back into OMERO. It's essentially a wrapper and guide for the official omero-py library.
deeptools
This skill provides a comprehensive interface to deepTools for NGS data analysis. It covers BAM to bigWig conversion, quality control metrics, sample correlation, and visualization workflows for ChIP-seq, RNA-seq, and ATAC-seq data. The documentation includes practical examples and genome size references.
generate-factory
This skill automatically generates test data factories from schemas or TypeScript interfaces, using Faker.js for realistic data. It reduces manual test setup by mapping field types to appropriate Faker methods and supports traits, overrides, and deterministic seeding for reproducible tests.
financial-document-parser
Extract and analyze data from invoices, receipts, bank statements, and financial documents. Categorize expenses, track recurring charges, and generate expense reports. Use when user provides financial PDFs or images.
ga4-privacy-compliance
Provides detailed guidance for implementing Google Analytics 4 privacy compliance features, including Consent Mode v2 configuration, GDPR/CCPA requirements, data deletion workflows, and integration with consent management platforms. Offers specific code examples for gtag.js and GTM implementations.
single-cell-cellphonedb-communication-mapping
This skill wraps omicverse's CellPhoneDB v5 implementation for analyzing ligand-receptor interactions in single-cell data. It provides a structured workflow from data preparation to visualization using CellChat-style plots, with detailed troubleshooting guidance for common issues like metadata formatting and database setup.
Subagents Guide
A guide for creating and managing specialized AI subagents in Claude Code that handle specific tasks with isolated context. It explains when to delegate work, how to configure tools with least privilege, and provides concrete examples for code review, testing, and debugging workflows.
llm-evaluation
Provides code and methodology for evaluating LLM outputs using automated metrics (BLEU, ROUGE, BERTScore), human evaluation guidelines, and statistical testing. Includes A/B testing, regression detection, and benchmarking frameworks with concrete Python examples.