ds-star
CommunityCost-efficient multi-agent data science workflows
Data & Analytics#workflow#data-analysis#cost-optimization#claude-code#reproducibility#artifact-management#mult-agent
AuthorToken-Eater
Version1.0.0
Installs0
System Documentation
What problem does it solve?
DS-STAR automates and orchestrates multi-agent data science workflows to handle data analysis, coding, verification, and presentation within Claude Code, reducing manual overhead and enabling reproducible research.
Core Features & Use Cases
- Multi-agent orchestration with dedicated roles: Analyzer, Planner, Coder, Verifier, Router, Debugger, Finalyzer for end-to-end data science tasks.
- Multi-model optimization and cost savings through routing tasks to Haiku, Sonnet, and Opus.
- Reproducible pipelines with artifact saving and resume support, capable of iterative refinement for complex queries.
Quick Start
Invoke the ds-star skill to analyze your data with seven specialized agents and return a structured final result.
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-star Download link: https://github.com/Token-Eater/skills-marketplace/archive/main.zip#ds-star Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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