Agent Skills
› companion-inc/feynman
› boltz
boltz
GitHub用于运行或规划 Boltz 生物分子结构预测，涵盖输入标准化、执行环境验证、结果保存及置信度解读。强调将输出视为假设并需结合文献验证，适用于蛋白质、复合物及核酸组装体的研究任务。
Trigger Scenarios
需要进行生物分子结构预测
询问 Boltz 设置或输入输出解释
需要复现结构预测结果
Install
npx skills add companion-inc/feynman --skill boltz -g -y
SKILL.md
Frontmatter
{
"name": "boltz",
"description": "Run or plan Boltz biomolecular structure predictions for proteins, complexes, ligands, or nucleic-acid assemblies. Use when a task asks for Boltz setup, inputs, outputs, confidence interpretation, or reproduction."
}
Boltz
Use this skill when the active research run needs Boltz-style biomolecular prediction.
Workflow:
- Normalize inputs into explicit entities: protein chains, nucleic-acid chains, ligands, covalent links, templates, constraints, and seeds.
- Verify the available execution route from Feynman Settings, notebook runtimes, managed endpoints, Modal, SSH, or local installs before claiming the model can run.
- Run only from a recorded input manifest. Preserve exact sequences, ligand identifiers, model parameters, seed, hardware, package version, and command.
- Save structures, confidence outputs, logs, and rendered previews as Feynman artifacts.
- Interpret the output as a hypothesis: separate high-confidence local folds from weak interfaces, ligand poses, flexible regions, and unsupported biological claims.
Do not treat a single attractive structure as proof. Add verification checks against source literature, known structures, or orthogonal experiments when the result drives a decision.
Version History
- 54d08a3 Current 2026-07-25 07:15
