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research-harness-clean

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Run reproducible data cleaning and merging

Data & Analytics#merging#reproducible#data-cleaning#data-wrangling#research-workflow#audit-traceability
Authormaxwell2732
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Automates the end-to-end preparation of research-ready data by generating and executing reproducible cleaning, harmonization, reshaping, and merging scripts that preserve raw data integrity and provide auditable outputs.

Core Features & Use Cases

  • Generate deterministic cleaning, harmonization, and merging scripts that log every step.
  • Produce cleaned datasets along with a cleaning report and a merge report for traceability.
  • Use Case: apply to multi-source datasets where raw data must remain immutable while producing analysis-ready outputs.

Quick Start

Provide the data directory and plan to start a reproducible cleaning run while protecting raw data integrity.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: research-harness-clean
Download link: https://github.com/maxwell2732/claudecode-research-harness-workflow/archive/main.zip#research-harness-clean

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