Core data analytics concepts, Excel/Google Sheets fundamentals, and data collection techniques
When users need to analyze data in spreadsheets or collect datasets, this skill provides guidance on Excel/Google Sheets formulas, pivot tables, data cleaning, survey design, and basic web scraping techniques for foundational analytics tasks.
/plugin marketplace add pluginagentmarketplace/custom-plugin-data-analyst/plugin install data-analyst-roadmap@pluginagentmarketplace-data-analystThis skill inherits all available tools. When active, it can use any tool Claude has access to.
assets/foundations_config.yamldata-collection.mdexcel-fundamentals.mdgoogle-sheets.mdreferences/FOUNDATIONS_GUIDE.mdscripts/data_profiler.pyMaster the foundational concepts of data analytics including data types, collection methods, spreadsheet fundamentals, and basic data manipulation techniques.
| Error Type | Cause | Recovery |
|---|---|---|
| Formula error | Invalid syntax | Validate formula structure |
| Data type mismatch | Wrong input format | Convert data types explicitly |
| Missing data | Incomplete dataset | Apply imputation or filtering |
| Performance issue | Large dataset | Use data sampling or optimization |
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Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.