Closed Loop Optimization For Experiments Starter

# Closed-loop optimization for experiments Starter

Use this starter when a task lands in the `Closed-loop optimization for experiments` 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/robotics-lab-automation-and-scientific-instrumentation/closed-loop-optimization-for-experiments-starter/scripts/run_frontier_starter.py --out scratch/frontier/closed-loop-optimization-for-experiments-starter.json`.

Then inspect `refs.md` and `examples/resource_context.json` to promote the starter into a concrete executable workflow.