By dathere
Wrangle, profile, clean, transform, and analyze tabular data (CSV, TSV, Excel, JSONL, Parquet) using 51 qsv skill-based commands — including SQL queries, joins, validation, ontology inference, charting, performance acceleration, and reproducible logging.
Queries U.S. Bureau of Labor Statistics data using the BLS MCP server. Use when user asks about CPI, inflation, unemployment, employment, wages, jobs, labor statistics, producer prices, or any economic indicator tracked by BLS. Maps natural language to correct series IDs and tools. Copied from https://github.com/larasrinath/bls_mcp
Run SQL queries against CSV/TSV/Excel files using Polars SQL engine
Standard workflow order, tool selection matrix, and composition patterns for qsv CSV data wrangling
Clean a CSV/TSV/Excel file - fix headers, trim whitespace, remove duplicates, validate
Convert between CSV, TSV, Excel, JSONL, Parquet, and other tabular formats
Admin access level
Server config contains admin-level keywords
Uses power tools
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Uses Bash, Write, or Edit tools
Uses Bash, Write, or Edit tools
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![]() Hi-ho "Quicksilver" away! original logo details * Base AI-reimagined logo * Event logo archive | qsv is a data-wrangling toolkit for querying, slicing, sorting, analyzing, filtering, enriching, transforming, validating, joining, formatting, converting, chatting, FAIRifying & documenting tabular data (CSV, Excel, etc). Commands are simple, composable & "blazing fast". * Commands * Installation: CLI • MCP Server • Cowork Plugin * Whirlwind Tour / Notebooks / Lessons & Exercises * FAQ * Performance Tuning * 👉 Benchmarks 🚀 * Environment Variables * Feature Flags * Goals/Non-goals * Testing * NYC SOD 2022/csv,conf,v8/PyConUS 2025/ csv,conf,v9/NYC SOD 2026 * "Have we achieved ACI?" series - 1 • 2 • 3 * Sponsor |
npx claudepluginhub dathere/qsv --plugin qsv-data-wranglingDataFusion-powered skills for Claude Code: query data with SQL, read Parquet/CSV/JSON/Arrow files, search DataFusion docs, create external tables, build materialized views, and visualize query plans.
DuckDB-powered skills for Claude Code: read any data file, attach and query DuckDB databases, search DuckDB/DuckLake docs, search past session logs, and install/update DuckDB extensions.
MCP server for Apache Parquet files
Agent skill for the sq CLI: SLQ and native SQL, sources and handles, output formats, inspect/diff/tbl, and per-driver notes for databases and file formats.
Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. Originally from OpenAI's curated skills catalog.
Data engineering and ETL tools. Includes 3 specialized agents, 4 commands, and 19 skills.