Agent Skills › advaitpaliwal/feynman › boltz

boltz

GitHub

用于执行或规划 Boltz 生物分子结构预测，涵盖输入标准化、环境验证、运行执行及结果解释。

skills/boltz/SKILL.md advaitpaliwal/feynman

Trigger Scenarios

需要运行 Boltz 进行蛋白质或复合物结构预测询问 Boltz 配置、输入输出格式或置信度解读

Install

npx skills add advaitpaliwal/feynman --skill boltz -g -y

More Options

Use without installing

npx skills use advaitpaliwal/feynman@boltz

指定 Agent (Claude Code)

npx skills add advaitpaliwal/feynman --skill boltz -a claude-code -g -y

安装 repo 全部 skill

npx skills add advaitpaliwal/feynman --all -g -y

预览 repo 内 skill

npx skills add advaitpaliwal/feynman --list

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.