# Data Dictionary Creator

> Generate a data dictionary for a dataset, combining automatic profiling with the user's description of what the data represents. Use when the user wants documentation of columns — names, types, semantic meaning, units, allowed values, and nullability — for a CSV/Parquet/Excel file.

- **Type:** Skill
- **Install:** `agentstack add skill-danielrosehill-claude-data-analyst-plugin-data-dictionary-creator`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [danielrosehill](https://agentstack.voostack.com/s/danielrosehill)
- **Installs:** 0
- **Category:** [Data & Analytics](https://agentstack.voostack.com/c/data-and-analytics)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [danielrosehill](https://github.com/danielrosehill)
- **Source:** https://github.com/danielrosehill/Claude-Data-Analyst-plugin/tree/master/skills/data-dictionary-creator

## Install

```sh
agentstack add skill-danielrosehill-claude-data-analyst-plugin-data-dictionary-creator
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Data Dictionary Creator

Produce a data dictionary by merging schema inspection with the user's semantic description of the dataset.

## Inputs

- Path to a dataset file or folder.
- The user's description of the dataset: what it represents, how it was collected, what each column means (can be partial — infer the rest).
- Optional: output format (`markdown` default, `csv`, or `json`).

## Recommended CLI tooling

- `duckdb -c "DESCRIBE SELECT * FROM ''"` — fast schema + inferred types.
- `csvstat` — null counts, uniqueness, min/max per column.
- `uv run --with pandas python -c '...'` — for dtype coercion and sampling.

## Procedure

### Step 1 — Auto-profile every column

For each column, collect:
- Inferred data type (int, float, string, date, boolean, category)
- Null count and percentage
- Unique count (and full value list if -dictionary.md`:

```markdown
# Data Dictionary — 

## Overview
...

## Columns

### `column_name`
- **Type**: ...
- **Description**: ...
- **Unit**: ...
- **Nullable**: ...
- **Allowed values**: ...
- **Sample**: ...
- **Notes**: ...
```

For `csv` output, flatten to one row per column with standard dictionary columns. For `json`, emit a structured schema object compatible with JSON Schema / Frictionless Data.

End with a `[NEEDS REVIEW]` section listing columns the user should clarify.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [danielrosehill](https://github.com/danielrosehill)
- **Source:** [danielrosehill/Claude-Data-Analyst-plugin](https://github.com/danielrosehill/Claude-Data-Analyst-plugin)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-danielrosehill-claude-data-analyst-plugin-data-dictionary-creator
- Seller: https://agentstack.voostack.com/s/danielrosehill
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.