scientific-workflows
CommunitySimplify scientific workflows with the right tool.
Authorjkitchin
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps researchers choose and implement the most appropriate scientific workflow tool, from lightweight caching to full orchestration, aiming to minimize complexity and setup overhead.
Core Features & Use Cases
- Guided tool selection: Recommends the simplest tool that fits your workload (e.g., joblib for caching, Prefect for DAGs, Parsl for HPC, Covalent for cloud, FireWorks for production workflows, or quacc for materials workflows).
- Migration guidance: Provides a stepwise path from scripting to production, reducing rework and tuning effort.
- Practical scenarios: Maps common tasks (laptop-scale sweeps, HPC clusters, cloud deployments) to a minimal, effective toolchain.
Quick Start
Ask for a workflow recommendation for a dataset with 100 embarrassingly parallel tasks, and the skill will return the simplest applicable tool and a minimal rollout plan.
Dependency Matrix
Required Modules
None requiredComponents
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: scientific-workflows Download link: https://github.com/jkitchin/skillz/archive/main.zip#scientific-workflows Please download this .zip file, extract it, and install it in the .claude/skills/ directory.