ds-review
CommunityEnsure data analysis integrity and quality.
Data & Analytics#quality assurance#code review#research#data science#reproducibility#methodology audit
Authoredwinhu
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill rigorously reviews data analysis methodologies, code quality, and reproducibility to ensure the integrity and reliability of research-grade findings.
Core Features & Use Cases
- Parallel Review: Spawns specialized reviewers (Methodology, Reproducibility, Code Quality) for in-depth, multi-faceted analysis checks.
- Reconciliation Protocol: Merges and prioritizes findings from multiple reviewers to produce a consolidated, actionable report.
- Use Case: Before submitting a research paper, use this Skill to perform a comprehensive audit of the analysis code and methodology, ensuring it meets publication standards and is fully reproducible.
Quick Start
Initiate a parallel review of the current data analysis project.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
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Please help me install this Skill: Name: ds-review Download link: https://github.com/edwinhu/workflows/archive/main.zip#ds-review Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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