Scfm
Skill BioTender-max/awesome-bio-agent-skills/skills/pantheon/scfm
Workflow guidance and model reference for single-cell foundation models (scGPT, Geneformer, UCE, scBERT, etc.). Covers model selection, validation-first workflow, and per-model I/O contracts.From its SKILL.md
npx -y skills add BioTender-max/awesome-bio-agent-skills --skill scfmAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
1.2 KB, 195 tokens by cl100k_base, as published. Nobody here has run it
Single-Cell Foundation Models (SCFM)
Workflow and model reference for embedding and integration with single-cell foundation models.
Available Skills
SCFM Workflow
Validation-first workflow for foundation model usage: profile, validate, run, interpret.
Skill file: workflow.md
SCFM Model Reference
Per-model reference cards with I/O contracts, gene ID schemes, and hardware requirements.
Skill file: models.md
Detailed Model Documentation
In-depth specs for individual models (scBERT, scGPT, Geneformer, UCE, etc.).
Docs folder: _docs/
When to Use
- You want FM embeddings (e.g.,
obsm["X_uce"],obsm["X_scGPT"]) - You need model selection based on gene ID scheme and species
- You want a validation-first workflow before heavy inference
What ships with it: 2 files
19.6 KB alongside SKILL.md
- models.md17.0 KB
- workflow.md2.7 KB