Python data analysis with pandas, numpy, and analytics libraries
Analyzes data using pandas and NumPy for aggregation, time series, and large dataset processing. Use when you need to manipulate DataFrames, perform numerical computations, or build Jupyter notebooks for data analysis 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/config.yamlassets/schema.jsonreferences/GUIDE.mdreferences/PATTERNS.mdscripts/validate.pyMaster Python for data analysis using industry-standard libraries.
| Error Type | Cause | Recovery |
|---|---|---|
| MemoryError | Dataset too large | Use chunking or dask |
| KeyError | Column not found | Verify column names |
| ValueError | Invalid operation | Check data types |
| SettingWithCopyWarning | Chained assignment | Use .loc accessor |
Use when working with Payload CMS projects (payload.config.ts, collections, fields, hooks, access control, Payload API). Use when debugging validation errors, security issues, relationship queries, transactions, or hook behavior.
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.