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Found 20 Skills
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
SQL patterns for database querying and design
Best practices for Pandas data manipulation, analysis, and DataFrame operations in Python
Guidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
Command-line JSON processor. Extract, filter, transform JSON.
Automate Google Sheets operations (read, write, format, filter, manage spreadsheets) via Rube MCP (Composio). Read/write data, manage tabs, apply formatting, and search rows programmatically.
GSheet-CRUD API 使用指南。将 Google Sheets 作为 RESTful API 数据库。当用户需要通过 API 操作 Google Sheets 数据时使用此技能，包括：查询数据(GET)、插入数据(POST)、更新数据(PUT)、删除数据(DELETE)。
Manage Google Sheets spreadsheets. Read/write cell values and ranges, manage sheets, formatting, and formulas. Use when working with Google Sheets spreadsheet management.
Tests join primitive (INNER JOIN)
Process Excel files with data manipulation, formula generation, and chart creation. Use when working with spreadsheets or Excel data.
Python data analysis with pandas, numpy, and analytics libraries
This skill should be used when the user asks to "use pandas", "analyze data with pandas", "work with DataFrames", "clean data with pandas", or needs guidance on pandas best practices, data manipulation, performance optimization, or common pandas patterns.