single2spatial-spatial-mapping
This skill maps single-cell RNA-seq data onto spatial transcriptomics slides using omicverse's Single2Spatial workflow. It trains deep-forest models to reconstruct spot-level cell proportions and visualize marker expression. The instructions cover training, loading pretrained weights, quality assessment, and result export with troubleshooting guidance.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install starlitnightly-omicverse-single-to-spatial-mapping
Repository
Skill path: .claude/skills/single-to-spatial-mapping
This skill maps single-cell RNA-seq data onto spatial transcriptomics slides using omicverse's Single2Spatial workflow. It trains deep-forest models to reconstruct spot-level cell proportions and visualize marker expression. The instructions cover training, loading pretrained weights, quality assessment, and result export with troubleshooting guidance.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI, Full Stack, Integration.
Target audience: AI/ML teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Starlitnightly.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install single2spatial-spatial-mapping into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Starlitnightly/omicverse before adding single2spatial-spatial-mapping to shared team environments
- Use single2spatial-spatial-mapping for ai/ml workflows
Works across
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Sub-skills: 0.
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