ds-spec-reviewer
CommunityEnsure data science specs are complete.
Data & Analytics#quality assurance#documentation#project planning#data science#specification review#spec validation
Authoredwinhu
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill prevents data science projects from starting with incomplete or flawed specifications, saving significant time and resources by catching issues early in the development lifecycle.
Core Features & Use Cases
- Automated Spec Review: Dispatches a subagent to rigorously check
SPEC.mdfor completeness and adherence to best practices. - Issue Identification: Flags specific gaps in data sources, objectives, output formats, and success criteria.
- Iterative Improvement: Facilitates a feedback loop for spec refinement before proceeding to planning.
- Use Case: Before a data scientist begins planning a new analysis, this skill ensures the
SPEC.mddocument clearly defines all necessary data sources, the precise questions to be answered, and the expected deliverables, preventing costly rework later.
Quick Start
Use the ds-spec-reviewer skill to verify the completeness of the .claude/SPEC.md file.
Dependency Matrix
Required Modules
None requiredComponents
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: ds-spec-reviewer Download link: https://github.com/edwinhu/workflows/archive/main.zip#ds-spec-reviewer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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