Operator learning and surrogate physics models starter
A framework for discovering, compiling, and validating reusable skills for scientific agents.
npx -y skills add ma-compbio-lab/SkillFoundry --skill operator-learning-and-surrogate-physics-models-starterAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
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Operator learning and surrogate physics models Starter
Use this starter when a task lands in the Operator learning and surrogate physics models frontier leaf and the repository has curated resources but no dedicated runtime implementation yet.
What this starter does
- Summarizes the local resource anchors for the leaf.
- Emits a machine-readable starter plan with promotion steps.
- Gives the agent a stable local entry point before a full runtime skill exists.
How to use it
Run python3 skills/physics-and-astronomy/operator-learning-and-surrogate-physics-models-starter/scripts/run_frontier_starter.py --out scratch/frontier/operator-learning-and-surrogate-physics-models-starter.json.
Then inspect refs.md and examples/resource_context.json to promote the starter into a concrete executable workflow.