qsv-data-wrangling

Plugin qsv-data-wrangling from marketplace qsv-plugins in dathere/qsv. Commands read from the repo's manifest — today.

Skills (20)

• build-dashboard

  Build an interactive HTML dashboard — a Data Schematic — with charts, filters, and tables. Use when creating a dashboard, 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 i

• mcp-release-prep

  Prepare an MCP server and plugin release by bumping versions across all files and updating changelog

• release-prep

  Prepare a qsv release by bumping versions across all files and updating changelog

• review-respond

  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.

• bls-query

  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

• csv-query

  Run SQL queries against CSV/TSV/Excel files using Polars SQL engine

• csv-wrangling

  Standard workflow order, tool selection matrix, and composition patterns for qsv CSV data wrangling

• data-clean

  Clean a CSV/TSV/Excel file - fix headers, trim whitespace, remove duplicates, validate

• data-convert

  Convert between CSV, TSV, Excel, JSONL, Parquet, and other tabular formats

• data-describe

  Generate AI-powered Data Dictionary, Description, and Tags for a CSV/TSV/Excel file

• data-join

  Join two datasets with automatic strategy selection (joinp vs join vs sqlp)

• data-profile

  Profile a CSV/TSV/Excel file - detect format, compute statistics, show value distributions

• data-quality

  Quality dimensions quick reference and remediation decision tree for tabular data assessment

• data-validate

  Validate data and analysis before sharing - methodology, accuracy, bias, and data quality checks

• data-viz

  Create publication-quality visualizations from CSV/TSV/Excel data using Python

• genai-disclaimer

  Standard disclaimer and attribution templates for AI-generated or AI-assisted data analysis outputs

• infer-ontology

  Infer a semantic ontology from all files in the working directory - entities, attributes, relationships, domain taxonomy, and cross-file join paths. Outputs ONTOLOGY.md.

• qsv-performance

  Performance guide covering index files, stats cache, and frequency cache accelerators for qsv

• reproducible-analysis

  Machine-readable journal format for reproducible data analysis operations

• visual-data-dictionary

  Build a Data Schematic with its Data Dictionary beside it — an interactive qsv viz smart dashboard driven by an LLM-inferred JSON Schema data dictionary, browsable in-page next to the charts. Use when the user asks for a Data Schematic, a visual data dictionary, a documented dashboard or a dictionar

Subagents (3)

• data-analyst

  Use when the user asks to describe, profile, summarize, explore, or query tabular data without producing modified output files — e.g., "what's in this CSV", "show distributions", "what columns correlate", or ad-hoc SQL questions. Prefer data-wrangler when the user wants to clean, reshape, dedupe, jo

• data-wrangler

  Use when the user asks to clean, transform, reshape, dedupe, join, concatenate, sort, replace, or convert tabular data and produce new output files — e.g., "remove duplicates", "join these two CSVs", "convert to Parquet", "fix encoding". Prefer data-analyst for read-only profiling, statistics, or ex

• policy-analyst

  Use when the user asks to analyze policy questions that combine local tabular data with US government sources — jurisdiction comparisons, fiscal-impact analysis, demographic/employment/crime context, or "is policy X working?" questions referencing Census, BLS, FBI Crime Data, or Wikidata. Prefer dat

Hooks (5)

• SessionStart

  node "${CLAUDE_PLUGIN_ROOT}/scripts/cowork-setup.cjs"

• UserPromptSubmit

  node "${CLAUDE_PLUGIN_ROOT}/scripts/log-user-prompt.cjs"

• Stop

  node "${CLAUDE_PLUGIN_ROOT}/scripts/log-turn-summary.cjs"

• PostToolUse

  node "${CLAUDE_PLUGIN_ROOT}/scripts/log-web-results.cjs"

• SessionEnd

  node "${CLAUDE_PLUGIN_ROOT}/scripts/log-session-end.cjs"

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