Materials benchmark datasets Starter
SkillDatabases & dataUse this starter when a task lands in the Materials benchmark datasets frontier leaf and the repository has curated resources but no dedicated runtime implementation yet.
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Then ask your AI: use the Materials benchmark datasets Starter skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
About this skill
A framework for discovering, compiling, and validating reusable skills for scientific agents.
What this skill tells your AI
The instructions your AI receives, as published by ma-compbio-lab/skillfoundry in skills/materials-science-and-engineering/materials-benchmark-datasets-starter/SKILL.md and read by Ahel’s review.
Use this starter when a task lands in the Materials benchmark datasets 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/materials-science-and-engineering/materials-benchmark-datasets-starter/scripts/run_frontier_starter.py --out scratch/frontier/materials-benchmark-datasets-starter.json.
Then inspect refs.md and examples/resource_context.json to promote the starter into a concrete executable workflow.
Signals
- GitHub stars
- 42
- Forks
- 5
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
materials-benchmark-datasets-starter- Source
- github.com/ma-compbio-lab/skillfoundry
github.com/ma-compbio-lab/skillfoundry
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