Agent Skills › Companion-Inc/feynman › boltz

boltz

GitHub

用于运行或规划Boltz生物分子结构预测的Skill，支持蛋白质、复合物及核酸组装。涵盖输入标准化、执行环境验证、记录输入清单、保存结果及置信度解读，强调将输出视为假设并需结合文献验证。

skills/boltz/SKILL.md Companion-Inc/feynman

Trigger Scenarios

需要设置Boltz预测流程询问Boltz输入输出格式解释预测结果的置信度复现生物分子结构预测实验

Install

npx skills add Companion-Inc/feynman --skill boltz -g -y

More Options

Use without installing

npx skills use Companion-Inc/feynman@boltz

指定 Agent (Claude Code)

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

安装 repo 全部 skill

npx skills add Companion-Inc/feynman --all -g -y

预览 repo 内 skill

npx skills add Companion-Inc/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.