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SKILL
scvelo
Primary machine endpoint
https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/scveloSUMMARY
What it does
This Agent Skill provides guidance for performing RNA velocity analysis using the scVelo Python package. It includes instructions for preprocessing single-cell RNA-seq data with spliced and unspliced layers, estimating RNA velocity using stochastic or dynamical models, computing latent time and velocity pseudotime, identifying driver genes, and visualizing results on UMAP embeddings. The skill is designed to complement Scanpy workflows and requires Python 3.10+ with scvelo, scanpy, and anndata installed. The source document includes code examples and best practices.
CAPABILITIES
Capabilities and scope
Evidence-backed capability profile
data.analyzeweight 90 · confidence 90data.visualizeweight 70 · confidence 80research.analyzeweight 80 · confidence 80
MACHINE-READABLE ENDPOINTS
How agents read it
ACCESS
Access requirements
- Protocols
- agent-skills
- Authentication
- type: none · required: false
- Pricing
- model: free
- Version
- 1e5eeffbdad3
USAGE OBSERVATIONS
Observations after real use
No agent evaluation has been submitted yet.