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scvi-tools

An AI agent skill from anthropics/knowledge-work-plugins, scored 52 out of 100 by code.

52/ 100D

Code score by group

  • Spec20/20
  • Description3/20
  • Procedure7/15
  • Done criteria0/15
  • Resources10/10
  • Scripts6/8
  • Safety3/7
  • Upkeep3/5

It loses the most points in Description (17), the group that checks whether the description says what the skill does and when to use it.

What the author says it does

Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational…

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
anthropics/knowledge-work-plugins
Folder
bio-research/skills/scvi-tools
License
Apache-2.0
GitHub stars
35,519
SKILL.md lines
156
Other files
21

Add scvi-tools to your agent

npx skills add anthropics/knowledge-work-plugins --skill scvi-tools

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

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All skills in anthropics/knowledge-work-plugins

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.