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qsv
qsv contient 19 skills collectées depuis dathere, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Standard workflow order, tool selection matrix, and composition patterns for qsv CSV data wrangling
Respond to all pending review comments on the current PR — fetch comments, apply fixes, verify accuracy, test, commit, and reply. Use when addressing Copilot reviews, GitHub PR reviews, or any batch of review feedback.
Prepare an MCP server and plugin release by bumping versions across all files and updating changelog
Run SQL queries against CSV/TSV/Excel files using Polars SQL engine
Clean a CSV/TSV/Excel file - fix headers, trim whitespace, remove duplicates, validate
Convert between CSV, TSV, Excel, JSONL, Parquet, and other tabular formats
Generate AI-powered Data Dictionary, Description, and Tags for a CSV/TSV/Excel file
Join two datasets with automatic strategy selection (joinp vs join vs sqlp)
Profile a CSV/TSV/Excel file - detect format, compute statistics, show value distributions
Validate data and analysis before sharing - methodology, accuracy, bias, and data quality checks
Create publication-quality visualizations from CSV/TSV/Excel data using Python
Infer a semantic ontology from all files in the working directory - entities, attributes, relationships, domain taxonomy, and cross-file join paths. Outputs ONTOLOGY.md.
Performance guide covering index files, stats cache, and frequency cache accelerators for qsv
Machine-readable journal format for reproducible data analysis operations
Prepare a qsv release by bumping versions across all files and updating changelog
Quality dimensions quick reference and remediation decision tree for tabular data assessment
Standard disclaimer and attribution templates for AI-generated or AI-assisted data analysis outputs
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
Build an interactive HTML dashboard with charts, filters, and tables. Use when creating an executive overview with KPI cards, turning query results into a shareable self-contained report, building a team monitoring snapshot, or needing multiple charts with filters in one browser-openable file.