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cellxgene-census
Query CZ CELLxGENE Census (61M+ cells). Filter by cell type/tissue/disease, retrieve expression data, integrate with scanpy/PyTorch, for population-scale single-cell analysis.
parsing-hecras-geometry
This skill provides Python tools to parse and modify HEC-RAS geometry files (.g##) using fixed-width FORTRAN format. It handles cross sections, storage areas, bridges, culverts, lateral structures, and Manning's n tables. The documentation includes clear examples for common workflows like reading station-elevation data, updating roughness values, and extracting structure information.
organizing-ebfe-models
Organizes FEMA eBFE/BLE model downloads into standardized 4-folder structure (HMS Model, RAS Model, Spatial Data, Documentation). Handles variable archive patterns, nested zips, and generates reusable Python functions. Includes DSS validation and compute test suggestions for hydraulic engineering workflows.
business-analyst
A comprehensive business analyst skill with structured workflows, extensive methodology coverage, and clear communication protocols for bridging business and technical domains effectively.
understanding-sources
This skill explains walkerOS source patterns for capturing events from browsers, dataLayers, and servers. It provides concrete interface definitions, push signatures by source type, and practical examples for implementing event collection in web applications.
chroma
Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source projects.
single-cell-downstream-analysis
This skill provides a checklist-style reference for executing seven single-cell RNA-seq downstream analysis workflows from the OmicVerse library. It covers AUCell scoring, differential expression, drug response prediction, SCENIC, cNMF, NOCD, and lazy pipelines, with clear notes on prerequisites, core API calls, and resource requirements.
gsea-enrichment-analysis
This skill provides guidance for running gene set enrichment analysis (GSEA) in OmicVerse. It focuses on the critical step of correctly loading pathway databases as dictionaries instead of file paths, which is a common error. Includes workflow examples, error solutions, and visualization methods.
single-cell-annotation-skills-with-omicverse
This skill provides Claude with detailed workflows for six single-cell annotation methods using the omicverse Python package. It covers SCSA, MetaTiME, CellVote, CellMatch, GPTAnno, and weighted KNN transfer with specific code examples and data requirements. The instructions help users reproduce published tutorials and adapt them to their own datasets.
rag
A comprehensive RAG implementation guide with practical Java examples, covering core components, patterns, and best practices for building knowledge-grounded AI systems.
SDK Analytics Installer
Use this skill when the user asks to install, configure, or set up @dotcms/analytics, sdk-analytics, analytics SDK, add analytics tracking, or mentions installing analytics in Next.js or React projects
ml-engineer
This skill provides structured guidance for building and deploying machine learning systems. It covers the full ML lifecycle from data validation to production monitoring, with specific checklists for performance targets and integration with tools like MLflow and Kubeflow.
gtars
Gtars provides Rust-based tools for genomic interval analysis, including overlap detection, coverage track generation, and tokenization for ML models. It offers Python bindings and CLI tools for processing BED files, analyzing fragments, and managing reference sequences in computational biology workflows.
gemini-imagegen
This skill provides image generation and editing using Google's Gemini API. It supports text-to-image, image editing, style transfer, and multi-turn refinement. The documentation clearly explains resolution options, aspect ratios, and critical file format handling to avoid common errors.
backend-engineer
This skill connects existing frontend UIs with mock data to Supabase backends. It generates database schemas from TypeScript types, sets up RLS policies, and provides authentication flows. Focuses on integration rather than redesign, with specific patterns for common backend tasks.
progress-tracking
This skill enables AI assistants to track and visually display project progress during development sessions. It provides multiple visualization formats like progress bars, phase tables, and checklists, automatically updating progress based on file creation and code patterns. Progress is saved to a markdown file for persistence across IDE sessions.
langchain4j-vector-stores-configuration
A comprehensive LangChain4J vector store configuration guide offering practical Java code examples for RAG applications, production optimizations, and multiple database integrations.
domain-memory
A disk-based state management system for stateless AI agents that enforces a strict boot-up ritual. Agents read/write to domain-memory.yaml files, ensuring progress persists across sessions. Includes CLI tools for managing feature status, preventing infinite loops via 'tried' tracking, and supporting hierarchical epic workflows.
xlsx
This skill wraps the xlsx CLI tool to manipulate Excel files without Python or Node.js. It provides SQL-like filtering, cell editing, CSV conversion, and basic analysis. The documentation includes concrete examples for viewing data, searching patterns, updating cells, and common workflows like data extraction.
browser
Web browser automation with AI-optimized snapshots for claude-flow agents
toggle
Context layer for your agent. ToggleX captures the user's work sessions, projects, focus scores, and context switches across the web — giving the agent awareness of what the user has actually been doing. Use this skill PROACTIVELY: generate daily digests, nudge stale projects, detect context-switching, spot repeated workflows and propose automations, predict the user's next action based on learned routines, and answer recall questions from memory. Also use when the user asks about their activity, tasks, sessions, productivity, time, or anything work-related. Keywords: what did I do, what was I working on, today, yesterday, my day, activity, sessions, refresh my data, productivity, time tracking, context, pick up where I left off, what was I looking at, stale, pattern, automate, digest, report, focus, scattered, deep work, predict, next task, routine, anticipate, briefing.
calorie-detective-v2-0-0
热量侦探 v2.0.0 - AI 食物卡路里计算器。通过 Kimi 视觉识别照片中的食物，自动计算卡路里、蛋白质、碳水、脂肪等营养数据。内置常见食物营养数据库。用于健康饮食管理、减肥健身追踪。再隐蔽的热量也逃不过我的眼睛！
google-gemini-embeddings
Build RAG systems and semantic search with Gemini embeddings (gemini-embedding-001). 768-3072 dimension vectors, 8 task types, Cloudflare Vectorize integration. Prevents 13 documented errors. Use when: vector search, RAG systems, semantic search, document clustering. Troubleshoot: dimension mismatch, normalization required, batch ordering bug, memory limits, wrong task type, rate limits (100 RPM).
stable-baselines3
Provides detailed guidance for using Stable Baselines3 library to train reinforcement learning agents. Covers algorithm selection, custom environment creation, vectorized environments, callbacks, and evaluation workflows with practical code examples.