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How to answer user questions about what models are available, filter by domain/task/license, and compare models in AI4Science Studio.
How-to guides and AMD/ROCm optimization recipes for open AI-for-science models.
Skill Claude CodeCodexCursor
How to answer user questions about what models are available, filter by domain/task/license, and compare models in AI4Science Studio.
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Applies to Earth-system ML in AI4Science Studio—climate, weather, geospatial data, and model folders under earthscience/models/. Includes validated AMD/ROCm HPC patterns for earth science models.
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Applies to healthcare and life sciences ML recipes under healthcare/models/ in AI4Science Studio, with privacy and non-clinical-use guardrails.
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Guides creation and editing of Hugging Face–centric recipes in AI4Science Studio—discovery, task alignment, scripting, documentation, and attribution.
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Applies to material science and chemistry ML recipes under materialscience/models/ in AI4Science Studio.
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Runs the AMD AI agents bottleneck-analysis workflow on a HydraGNN or ORBIT-2 training job using TraceLens + Omnistat user-mode + paired analyst/verifier subagents, or drives the iterative perf-optimizer-loop (accept/revert on throughput or epoch time). Use when the user wants to analyze a perf run, analyze a 2-node…
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Applies to protein structure, folding, and protein LM recipes under proteinfolding/models/ in AI4Science Studio.
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Step-by-step instructions for how Cursor should run any model in AI4Science Studio — read model.yaml, check preflight, select container runtime, launch.
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Applies when working in the AI4Science Studio repository. Describes domain layout, model slug rules, where recipes live, safety expectations, and AMD/ROCm HPC patterns (Apptainer and Docker) validated in practice.