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