Agent Skills › companion-inc/feynman › esmfold2

esmfold2

GitHub

用于快速预测蛋白质结构，支持序列筛选、变异体结构筛查及置信度审查。通过标准化FASTA输入、运行模型并保存结果与日志，标记低置信度区域，辅助研究决策前的初步结构假设验证。

skills/esmfold2/SKILL.md companion-inc/feynman

Trigger Scenarios

需要快速进行无MSA的蛋白质折叠预测对突变体或变体进行结构筛查评估预测结构的置信度

Install

npx skills add companion-inc/feynman --skill esmfold2 -g -y

More Options

Use without installing

npx skills use companion-inc/feynman@esmfold2

指定 Agent (Claude Code)

npx skills add companion-inc/feynman --skill esmfold2 -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": "esmfold2",
    "description": "Predict quick protein structures with ESMFold-style workflows. Use when a task needs fast MSA-free folding, sequence triage, variant structure screening, or confidence review."
}

ESMFold2

Use this skill when a fast protein fold hypothesis is useful before heavier structure prediction.

Workflow:

Normalize sequences into FASTA and record identifiers, mutations, truncations, domains, and oligomer assumptions.
Verify the local or endpoint route before running.
Save FASTA, model version, command or request body, predicted PDB/mmCIF, pLDDT/confidence outputs, and logs.
Flag low-confidence regions, missing multimers, disorder, membrane regions, and sequence lengths outside the chosen route's limits.
Use RDKit/3Dmol/PDB previews and source-backed comparisons when the output influences a research decision.

Use ESMFold-style predictions for triage unless an independent check supports the structural claim.