scientific-workflows
Expert assistant for choosing and implementing scientific workflow tools - from simple joblib caching to complex orchestration with Prefect, Parsl, FireWorks, and quacc. Recommends the simplest solution that meets requirements.
Security Assessment
About scientific-workflows
The scientific-workflows skill is an expert assistant designed to help users choose and implement the best tools for managing scientific workflows. It addresses the problem of selecting the most appropriate tool for computational science needs, which range from simple tasks to complex multi-stage pipelines. By recommending the simplest, most lightweight solution that meets the requirements, it ensures that users can streamline their workflow processes without unnecessary complexity. The skill follows a 'simplicity first' philosophy, helping users avoid over-complicating their workflow systems with tools that are more complex than necessary.
FAQ
How do I choose the right tool for my scientific workflow?
The decision tree provided by the skill will guide you through choosing the best tool based on the type of workflow you need, whether it is a simple script, parameter sweep, or complex orchestration.
What are the prerequisites for using joblib, Prefect, or Parsl?
All tools are installed via `pip`, and the prerequisites are minimal. For joblib, you only need Python and the joblib package. For Prefect and Parsl, ensure that your Python environment supports parallel computing and orchestration.
Is this skill compatible with cloud platforms?
Yes, tools like Covalent and Prefect are designed to work seamlessly with cloud platforms like AWS, Azure, and GCP. Some tools, such as Parsl, also support HPC clusters, enabling large-scale distributed computing.
Can I use this skill for machine learning workflows?
Yes, this skill can be used for machine learning workflows, especially with tools like Prefect for dynamic data pipelines or Covalent for cloud-native orchestration.
What limitations should I be aware of when using this skill?
The skill is best suited for scientific workflows and may not be ideal for highly specialized or non-scientific computational tasks. Additionally, the tools recommended are primarily for Python-based workflows.
Install scientific-workflows
Quick Setup:
- Copy the skill folder to
.claude/skills/ - Claude will automatically detect and use the skill
Repository
jkitchin/skillz