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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.
Best practices for Pandas data manipulation, analysis, and DataFrame operations in Python
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.
Parse, transform, and analyze CSV files with advanced data manipulation capabilities.
Manage Google Sheets spreadsheets. Read/write cell values and ranges, manage sheets, formatting, and formulas. Use when working with Google Sheets spreadsheet management.
Guidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
Master SQL fundamentals including SELECT, INSERT, UPDATE, DELETE, CREATE, ALTER, DROP operations. Learn data types, WHERE clauses, ORDER BY, GROUP BY, and basic joins.
This skill should be used when the user asks to "read spreadsheet", "write to sheet", "create spreadsheet", "list spreadsheets", "google sheets", "read cells", "write cells", "append rows", "sheet data", or mentions Google Sheets operations. Provides Google Sheets API integration for reading, writing, and managing spreadsheets.
Read and write Google Sheets data. Load when user mentions 'google sheets', 'spreadsheet', 'update sheet', 'read sheet', 'append to sheet', or references extracting data to update a tracking sheet.
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)。
Pandas data manipulation with DataFrames. Use for data analysis.
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.