Agent Skills › Companion-Inc/feynman › esmfold2

esmfold2

GitHub

用于快速预测蛋白质结构的技能，支持无MSA折叠、序列筛选、变体结构筛查及置信度评估。通过标准化FASTA输入、验证路由、保存结果与日志、标记低置信度区域及可视化预览，辅助研究决策。

skills/esmfold2/SKILL.md Companion-Inc/feynman

Trigger Scenarios

需要快速蛋白质折叠假设时进行序列分选或变体结构筛查时

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.