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Generate next experimental suggestions from current run state.
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Orchestrate an end-to-end chemistry or materials optimization study from a plain-English research question to BO execution and a paper draft.
BO execution layer — initializes a run from a resolved experiment spec, records observations, and continues through suggest/observe/report.
Initialize a BO run from a dataset or explicit search-space JSON.
Generate a final BO report and summarize optimization status.
Run an external evaluator loop for a BO run using a pre-provisioned backend id.
Design and stabilize an expensive or fragile chemistry evaluator before BO setup.
Basierend auf der SOC-Berufsklassifikation
| name | bo-next-batch |
| description | Generate next experimental suggestions from current run state. |
Use this skill to get candidate experiments.
uv run python -m bo_workflow.cli suggest --run-id <RUN_ID> --batch-size <N>
Accepts status initialized or running. No oracle needed — HEBO/BO/random work directly from the design space.
suggestion_idbo-record-observation