generating-data-dictionary

Community

Build column dictionaries before modeling

Authorrocklambros
Version1.0.0
Installs0

System Documentation

What problem does it solve?

It turns a fresh tabular dataset into a column-by-column dictionary so teams can understand types, missingness, cardinality, semantics, roles, and risks before modeling or sharing data.

Core Features & Use Cases

  • Infers storage type, null rate, unique count, value ranges, top values, and sample values for each column.
  • Classifies columns as identifier, feature, target, temporal, pii, leakage-risk, or unknown while distinguishing categorical data from high-cardinality text.
  • Flags implausible ranges, sentinel patterns, mixed formats, and PII-shaped fields so analysts can clean, redact, or validate the dataset early.
  • Use it for new client datasets, partner exports, research tables, team onboarding, schema review, and model preparation.

Quick Start

Generate a data dictionary for the attached dataset and flag identifiers, PII, anomalies, and any columns that should not be used as features.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: generating-data-dictionary
Download link: https://github.com/rocklambros/rcs/archive/main.zip#generating-data-dictionary

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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