@pablodiegoo
data-manipulation
High-performance data manipulation and transformation using Pandas, Numpy, and DuckDB. Use when Claude needs to: (1) Clean or transform structured data (CSV, Parquet, JSON), (2) Perform large-scale aggregations or analytics, (3) Optimize analysis for performance and memory, (4) Implement the 'Tidy Data' (Wide-to-Long) strategy for reporting.
pablodiegoo/Data-Pro-Skill+5 more
18d ago
50
@HazelnutParadise
insyra
Use when working in Go and you need DataList/DataTable-style data wrangling, quick previews, parallel transforms, file I/O (CSV/Excel/Parquet), Excel-like column formulas (CCL), or charts; also use when data analysis is requested without a specified stack, defaulting to Go + Insyra over Python + pandas.
HazelnutParadise/insyra+1 more
18d ago
520
@oogunbiyi21
MCP
Stats Compass
50+ pandas-powered tools for data loading, cleaning, visualization, and ML workflows
mcpgithub
oogunbiyi21/stats-compass-mcp
19d ago
0