tabular-cleanup

Community

Automate iterative data cleaning to meet an inferred contract

Authorgaasher
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the iterative cleaning of messy tabular data to meet an inferred data contract, streamlining the process from raw data to a structured, reliable dataset.

Core Features & Use Cases

  • Automated Data Cleaning: Iteratively cleans data to meet an inferred contract, ensuring data quality and consistency.
  • Data Contract Inference: Infers a data contract based on the input data, defining the rules and constraints for the cleaned dataset.
  • Use Case: For a data scientist needing to clean and preprocess a large dataset before analysis, this Skill can automate the process, reducing manual effort and ensuring high-quality data.

Quick Start

Clean your messy data by initializing the skill with the command 'tabular-cleanup run <artifact> <contract> <retention_floor> <protected_columns> <impute_cap> <analysis_cmd> <sandbox_root> <gate> <budget>'

Dependency Matrix

Required Modules

pandas

Components

scriptsreferences

💻 Claude Code Installation

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Please help me install this Skill:
Name: tabular-cleanup
Download link: https://github.com/gaasher/Agent-Loop-Skills/archive/main.zip#tabular-cleanup

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