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xlsx
This skill enables Claude to create, edit, and analyze Excel files using Python libraries like openpyxl and pandas. It emphasizes using Excel formulas instead of hardcoded values, includes a formula recalculation script with LibreOffice, and provides detailed financial modeling standards. The documentation covers common workflows, error handling, and best practices for spreadsheet operations.
bulk-rna-seq-deseq2-analysis-with-omicverse
This skill guides users through bulk RNA-seq differential expression analysis using PyDESeq2 within the omicverse Python package. It covers data loading, gene ID mapping, statistical testing, visualization, and optional enrichment analysis. The instructions are detailed with concrete code examples and troubleshooting tips for common issues.
data-sql-optimization
Provides checklists and templates for optimizing SQL in OLTP systems across PostgreSQL, MySQL, SQL Server, Oracle, and SQLite. Covers query analysis, indexing, schema design, migrations, backups, and high availability with clear decision trees and platform-specific commands.
skill-vetter
Security vetting protocol before installing any AI agent skill. Red flag detection for credential theft, obfuscated code, exfiltration. Risk classification LOW/MEDIUM/HIGH/EXTREME. Produces structured vetting reports. Never install untrusted skills without running this first.
study-buddy
AI-powered learning companion for creating personalized study plans, tracking progress, and providing feedback. Use when user wants to start learning something new, create a study plan, track learning progress, get study reminders, or receive learning feedback. Triggers include "帮我制定学习计划", "我要学XX", "追踪我的学习进度", "学习打卡", "study plan", "learn programming", "track my progress".
repomix
Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML, Markdown, plain text), preserve file structure and context, optimize for AI consumption with token counting, filter by file types and directories, add custom headers and summaries. Use when packaging codebases for AI analysis, creating repository snapshots for LLM context, analyzing third-party libraries, preparing for security audits, generating documentation context, or evaluating unfamiliar codebases.
flowio
FlowIO parses FCS files (versions 2.0-3.1) used in flow cytometry. It extracts event data as NumPy arrays, reads metadata and channel information, and can convert data to CSV or DataFrame formats. The skill handles problematic files with offset errors and supports creating new FCS files from processed data.
scvi-tools
This skill provides access to scvi-tools, a Python framework for probabilistic modeling of single-cell genomics data. It handles RNA-seq, ATAC-seq, multimodal integration, and spatial transcriptomics through variational autoencoders. The skill includes detailed workflows, code examples, and best practices for data preprocessing, model training, and downstream analysis.
frontend-patterns
Provides concrete patterns for building frontends with Next.js App Router, Clerk authentication, shadcn/ui components, and PostHog analytics. Includes clear examples for server/client components, protected routes, form validation, and event tracking. Offers accessibility and responsive design checklists.
machine-learning-engineer
This skill provides structured guidance for deploying machine learning models to production. It covers model optimization, serving infrastructure setup, performance tuning, and monitoring. The checklist and workflow help engineers systematically address latency, throughput, and reliability requirements for real-world ML systems.
ai-ml-data-science
This skill provides structured workflows for end-to-end data science projects, from problem framing to production deployment. It includes EDA, feature engineering with feature stores, model training with LightGBM/scikit-learn, and SQL transformations via SQLMesh. Focuses on MLOps practices like drift monitoring and automated retraining.
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
deploy
This skill bundles three related tasks: setting up Vercel/Netlify deployment, integrating Google/Vercel Analytics, and performing a pre-flight environment health check. It provides clear, step-by-step guides for each task, triggered by specific Japanese or English phrases.
artifacts-builder
A toolset for creating complex Claude.ai HTML artifacts using React, TypeScript, Tailwind CSS, and shadcn/ui. It provides scripts to initialize projects and bundle them into single HTML files suitable for sharing as artifacts. It includes 40+ pre-configured UI components and handles Node version compatibility.
AgentDB Memory Patterns
Provides memory management for AI agents using AgentDB's vector storage. Offers session memory, long-term pattern storage, and integrates with ReasoningBank for context synthesis. Includes CLI tools for database management, learning plugins, and performance benchmarks showing significant speed improvements over traditional approaches.
dask
This skill provides detailed guidance for using Dask to process datasets larger than available RAM and parallelize pandas/NumPy operations. It covers DataFrames, Arrays, Bags, Delayed tasks, and Futures with clear examples, performance optimization tips, and common patterns for data workflows.
datacommons-client
Provides Python client access to Data Commons API for querying public statistical data like population, economic indicators, and health statistics. Includes entity resolution, time-series queries, and knowledge graph exploration with clear examples for common workflows.
training-log-analyzer
Analyzes workout logs to identify trends, plateaus, and recovery needs. Provides structured markdown reports with actionable recommendations for athletes and fitness enthusiasts.
condition-based-waiting
Provides a concrete pattern to replace arbitrary timeouts in tests with conditional polling, directly addressing flaky tests caused by timing dependencies. Shows real-world impact data and clear before/after code examples.
building-rag-systems
This skill provides detailed implementation patterns for building RAG systems using LangChain and Qdrant. It covers 8 distinct architectures, semantic chunking strategies, and includes production-ready code for ingestion pipelines, search, and FastAPI deployment. The documentation includes concrete examples for change detection and context expansion.
flow-nexus-swarm
A comprehensive cloud-based AI swarm orchestration platform with detailed workflow automation capabilities, though dependent on external service and lacking concrete implementation details.
regulatory-templates-gate3
This skill automates the final step of generating production-ready Django/Jinja2 template files for financial regulatory reporting. It enforces strict validation from previous workflow stages, prevents manual errors through agent-based generation, and separates code from documentation. It's designed for teams submitting data to BACEN or similar financial authorities.
metrics-dashboard
This skill provides a structured 5-phase workflow for designing KPI dashboards, from requirements gathering to implementation. It enforces documentation standards for metrics and data sources, includes pressure resistance patterns, and dispatches to a specialized metrics-analyst agent.
moai-lang-r
This skill provides targeted assistance for R 4.4+ development, focusing on modern tidyverse workflows, ggplot2 visualization, and Shiny app creation. It includes practical code patterns for data pipelines, testing, and deployment. The documentation covers from basic operations to advanced topics like parallel processing and Docker setups for production.