ai4science-studio

Applies to Earth-system ML in AI4Science Studio—climate, weather, geospatial data, and model folders under earth_science/models/. Includes validated AMD/ROCm HPC patterns for earth science models.

Applies to material science and chemistry ML recipes under material_science/models/ in AI4Science Studio.

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 HydraGNN run, find bottlenecks with TraceLens/Omnistat, run the AMD AI agents on a job, run the perf-optimizer-loop, tune ORBIT-2 throughput, or optimize HydraGNN training performance.

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.

Step-by-step instructions for how Cursor should run any model in AI4Science Studio — read model.yaml, check preflight, select container runtime, launch.

Applies to healthcare and life sciences ML recipes under healthcare/models/ in AI4Science Studio, with privacy and non-clinical-use guardrails.

How to answer user questions about what models are available, filter by domain/task/license, and compare models in AI4Science Studio.

Guides creation and editing of Hugging Face–centric recipes in AI4Science Studio—discovery, task alignment, scripting, documentation, and attribution.

Applies to protein structure, folding, and protein LM recipes under protein_folding/models/ in AI4Science Studio.