scvi-tools
SkillProductivityLets your agent run single-cell RNA analysis workflows like batch correction, cell annotation, and differential expression.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the scvi-tools skill
About this capability
Run scvi-tools single-cell workflows. Use when a task asks for scVI/scANVI setup, latent embeddings, batch correction, differential expression, cell annotation, or reproducible AnnData analysis.
What this skill tells your AI
The instructions your AI receives, as published by companion-inc/feynman in skills/scvi-tools/SKILL.md and read by ahel’s review.
Use this skill for reproducible scvi-tools analysis.
Workflow:
- Record AnnData path, organism, assay, batch keys, label keys, covariates, train/test split, and filtering choices.
- Verify Python environment, GPU/CPU route, package version, and data availability before training.
- Save preprocessing notebook, model parameters, training logs, latent embeddings, differential-expression tables, and plots.
- Check batch mixing, biological separation, marker consistency, and sensitivity to preprocessing choices.
- Attach exact commands and artifact paths to the final summary.
Keep raw counts, normalized values, and model-derived latent variables clearly separated.
Signals
- GitHub stars
- 10k
- Forks
- 1k
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
scvi-tools-companion-inc- Source
- github.com/companion-inc/feynman