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Infers directional cellular trajectories from scRNA-seq using spliced/unspliced ratios. Use when predicting cell fates, differentiation endpoints, or driver genes from a single snapshot — covers scVelo, VeloVI, Chronocell, and CellRank. Needs intron-aware quantification; for the upstream counting use starsolo-spliced-unspliced.
rna-velocity-trajectory is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 48/100. # RNA Velocity & Trajectory Inference: Cellular Dynamics from Splicing Kinetics **Foundation:** RNA velocity infers cellular differentiation trajectories and fu. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding rna-velocity-trajectory to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install tony-zhelonkin/scioReview the upstream source before running this command.
Installs a Python package directly from a remote URL instead of PyPI.
pip install git+httpDispute this flag?Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# RNA Velocity & Trajectory Inference: Cellular Dynamics from Splicing Kinetics **Foundation:** RNA velocity infers cellular differentiation trajectories and future cell states by