Agent Skills
› advaitpaliwal/feynman
› scgpt
scgpt
GitHub用于单细胞基础模型分析，支持嵌入生成、扰动预测及细胞注释等任务。提供标准化工作流，涵盖数据记录、模型验证、结果保存与元数据对比，确保分析可追溯且严谨。
触发场景
需要进行单细胞数据嵌入分析
执行扰动预测或细胞注释任务
安装
npx skills add advaitpaliwal/feynman --skill scgpt -g -y
SKILL.md
Frontmatter
{
"name": "scgpt",
"description": "Use scGPT-style single-cell foundation model workflows. Use when a task asks for single-cell embeddings, perturbation prediction, cell annotation, batch transfer, or gene-program analysis."
}
scGPT
Use this skill for single-cell foundation model analysis.
Workflow:
- Record dataset source, organism, modality, preprocessing, gene identifiers, cell labels, and perturbation design.
- Verify model/checkpoint/package availability before running.
- Save AnnData or matrix manifests, preprocessing code, model version, embeddings, predictions, plots, and logs.
- Compare labels or predictions against source metadata, marker genes, perturbation controls, and literature.
- Preserve batch, donor, disease, and assay provenance in every summary table.
Do not present cell-state labels without marker or metadata support.
版本历史
- 54d08a3 当前 2026-07-25 07:16
