Automatic Differentiation For Scientific Models Starter
ASecurity
Use this starter when a task lands in the `Automatic differentiation for scientific models` frontier leaf and the repository has curated resources but no dedicated runtime implementation yet.
Installs into .claude/skills of the current project.
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# Automatic differentiation for scientific models Starter
Use this starter when a task lands in the `Automatic differentiation for scientific models` 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/scientific-computing-and-numerical-methods/automatic-differentiation-for-scientific-models-starter/scripts/run_frontier_starter.py --out scratch/frontier/automatic-differentiation-for-scientific-models-starter.json`.
Then inspect `refs.md` and `examples/resource_context.json` to promote the starter into a concrete executable workflow.
