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ds-verify

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Ensure data science reproducibility.

Data & Analytics#quality assurance#validation#verification#data science#reproducibility#user acceptance
Authoredwinhu
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill ensures that data science analysis results are reproducible and meet user acceptance criteria, preventing the costly consequences of unverified or irreproducible work.

Core Features & Use Cases

  • Reproducibility Checks: Verifies that analysis can be rerun with consistent results.
  • User Acceptance Interview: Confirms that the results directly answer the user's question and are in the desired format.
  • Use Case: After a data scientist completes an analysis, this skill is invoked to rigorously confirm that the findings are sound, the methodology is correct, and the user is satisfied before the analysis is considered final.

Quick Start

Use the ds-verify skill to confirm the reproducibility and user acceptance of the latest data science analysis.

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: ds-verify
Download link: https://github.com/edwinhu/workflows/archive/main.zip#ds-verify

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