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Generate AI-powered Data Dictionary, Description, and Tags for a CSV/TSV/Excel file
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Build a Visual Data Dictionary — an interactive qsv viz smart dashboard (a Data Schematic) driven by an LLM-inferred JSON Schema data dictionary, with the dictionary browsable beside the charts. Use when the user asks for a visual data dictionary, a documented dashboard, a dictionary-driven dashboard or Data Schematic, or wants to explore and document a CSV at the same time. Optionally bins rows into GeoJSON regions.
Prepare a qsv release by bumping versions across all files and updating changelog
Prepare an MCP server and plugin release by bumping versions across all files and updating changelog
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| name | data-describe |
| description | Generate AI-powered Data Dictionary, Description, and Tags for a CSV/TSV/Excel file |
| user-invocable | true |
| argument-hint | <file> [--dictionary|--description|--tags|--all] |
| allowed-tools | ["mcp__qsv__qsv_sniff","mcp__qsv__qsv_count","mcp__qsv__qsv_headers","mcp__qsv__qsv_index","mcp__qsv__qsv_stats","mcp__qsv__qsv_describegpt","mcp__qsv__qsv_list_files","mcp__qsv__qsv_get_working_dir","mcp__qsv__qsv_set_working_dir"] |
Generate AI-powered documentation for a tabular data file using describegpt. Produces a Data Dictionary (column labels, descriptions, types), a natural-language Description of the dataset, and semantic Tags — all via the connected LLM (no API key needed in MCP mode).
Cowork note: If relative paths don't resolve, call
mcp__qsv__qsv_get_working_dirandmcp__qsv__qsv_set_working_dirto sync the working directory.
Index: Run mcp__qsv__qsv_index on the file for fast random access.
Profile: Run mcp__qsv__qsv_stats with cardinality: true, stats_jsonl: true to generate the stats cache. describegpt reads this cache for column metadata, so it must exist first.
Describe: Run mcp__qsv__qsv_describegpt with the requested options (recommend all: true for comprehensive output). At least one inference option (dictionary, description, tags, or all) is required. Output defaults to <filestem>.describegpt.md.
Present: Display the generated Data Dictionary table, Description, and Tags to the user.
| Option | Effect |
|---|---|
--all (recommended) | Generate Dictionary + Description + Tags in one pass |
--dictionary | Data Dictionary only — column labels, descriptions, types |
--description | Natural-language dataset Description only |
--tags | Semantic Tags only |
--format | Output format: Markdown (default), JSON, TSV, TOON |
--language | Generate output in a non-English language (e.g. Spanish, French) |
--addl-cols-list | Enrich the dictionary with extra columns (e.g. "everything", "moar!") |
--tag-vocab | Constrain tags to a controlled vocabulary (comma-separated) |
--num-tags | Number of tags to generate (default: 5) |
--num-examples | Number of example values per column in the dictionary |
--enum-threshold | Max cardinality to treat a column as an enum in the dictionary |
<filestem>.describegpt.md--format JSON when you need machine-readable output for downstream processing--language to generate documentation in the user's preferred language