cs-standards
CommunityCS research standards for reproducible work
System Documentation
What problem does it solve?
CS researchers often lack unified, actionable standards for reproducibility, reporting, and responsible publishing. This skill provides comprehensive guidelines for code sharing, data documentation, benchmarking, artifact evaluation, ethics, licensing, and authorship.
Core Features & Use Cases
- Reproducibility guidelines for code, data, environments, and versioning to ensure results can be independently verified.
- Benchmarking and artifact evaluation guidance, including clarity on datasets, evaluation protocols, and licensing.
- Ethics, licensing, and authorship considerations to ensure compliant dissemination and proper credit.
Use Case: A CS project uses these standards to structure a reproducible submission package with a documented data card, code repository, and artifact evaluation plan.
Quick Start
Outline a reproducible CS research package following the standards described.
Dependency Matrix
Required Modules
None requiredComponents
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: cs-standards Download link: https://github.com/sencersoylu/scholar-flow/archive/main.zip#cs-standards Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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