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data-readiness-assessor

Official

Assess data for AI projects.

Data & Analytics#data quality#mlops#data governance#labeling#ai readiness#data assessment
AuthorEthical-AI-Syndicate
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps prevent AI/ML project failures by ensuring data quality and suitability before committing resources, mitigating the risk of "garbage in, garbage out."

Core Features & Use Cases

  • Data Quality Assessment: Evaluates completeness, accuracy, consistency, and timeliness of data.
  • Gap Analysis: Identifies missing features, labeling needs, and integration challenges.
  • Remediation Recommendations: Provides actionable steps to address identified data gaps.
  • Use Case: Before starting a new customer churn prediction model, use this Skill to assess the available customer data, identify if necessary features like 'last purchase date' are missing, and determine if 'churned' labels are sufficiently accurate.

Quick Start

Assess the data readiness for a new customer churn prediction model.

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: data-readiness-assessor
Download link: https://github.com/Ethical-AI-Syndicate/skills/archive/main.zip#data-readiness-assessor

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