ai4science-studio: Skill for Cursor

Discovering models in AI4Science Studio

Use this skill when a user asks what models are available, wants to compare models, or asks questions like "what can I do with this repo?"

Quick discovery

Read models.yaml at the repo root. It lists every model with:

• slug — folder name
• domain — earth_science, material_science, healthcare, physics_simulation, protein_folding
• hf_id — Hugging Face model id (or N/A)
• license — SPDX id
• task — one-line description
• tasks_available — list of recipe tasks (inference, train, finetune, ensemble)
• path — relative path to model folder

Answering "what models are available?"

Parse models.yaml and present a table:

Model	Domain	Task	Available recipes
StormCast	Earth science	Weather prediction	inference, ensemble
...	...	...	...

Filtering

When the user asks for a subset:

• By domain: filter on the domain field
• By task type: filter on tasks_available (e.g. "which models support fine-tuning?" → filter for finetune in tasks_available)
• By license: filter on license (e.g. "which models are MIT licensed?")
• By HF availability: filter on hf_id != N/A for models with HF weights

Deep-dive on a model

When the user wants details on a specific model:

1. Read <path>/model.yaml for structured metadata
2. Read <path>/README.md for prose description
3. Read <path>/examples/README.md for available scripts
4. List <path>/recipes/ subdirectories for available recipes

Comparing models

When the user asks to compare two or more models:

1. Read each model's model.yaml
2. Present a comparison table with columns: name, domain, HF id, license, tasks, container image, validated hardware, VRAM

Checking readiness

When asked "which models are ready to run?":

1. For each model in models.yaml, check:
   • Does examples/docker_run.sh exist?
   • Does examples/preflight_*.py exist?
   • Does at least one recipes/*/README.md exist?
   • Does examples/sbatch_*_amd.sh exist?
2. Report a readiness checklist per model