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bio-research-scvi-tools
80 / 100 · Low risk
Fine to try.
By aicodedecode/awesome-muse-skills (GitHub) · design · 59 stars · scanned at commit faf37c0
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 incl…
Works with any agent that supports SKILL.md skills.
What this skill can do
Runs commands on your computer
The author does not mention this.
Found in 1 place.
Downloads and installs other software
The author does not mention this.
Found in 26 places.
Show 17 more
- skills-imported/bio-research-scvi-tools/references/environment_setup.md, line 33
pip install scvi-tools scanpy - skills-imported/bio-research-scvi-tools/references/environment_setup.md, line 42
pip install scvi-tools scanpy squidpy - skills-imported/bio-research-scvi-tools/references/environment_setup.md, line 48
pip install scvi-tools mudata muon - skills-imported/bio-research-scvi-tools/references/environment_setup.md, line 81
| CUDA 11.8 | `pip install torch --index-url https://download.pytorch.org/whl/cu118` | - skills-imported/bio-research-scvi-tools/references/environment_setup.md, line 82
| CUDA 12.1 | `pip install torch --index-url https://download.pytorch.org/whl/cu121` | - skills-imported/bio-research-scvi-tools/references/environment_setup.md, line 83
| CPU only | `pip install torch --index-url https://download.pytorch.org/whl/cpu` | - skills-imported/bio-research-scvi-tools/references/environment_setup.md, line 105
| `Import error scvi` | Missing dependencies | `pip install scvi-tools[all]` | - skills-imported/bio-research-scvi-tools/references/environment_setup.md, line 111
pip install ipykernel - skills-imported/bio-research-scvi-tools/references/environment_setup.md, line 115
pip install matplotlib seaborn - skills-imported/bio-research-scvi-tools/references/environment_setup.md, line 123
pip install \ - skills-imported/bio-research-scvi-tools/references/environment_setup.md, line 216
| MuData errors | mudata < 0.2 | `pip install mudata>=0.2.0` | - skills-imported/bio-research-scvi-tools/references/environment_setup.md, line 218
| numpy 2.0 issues | Early 2024 builds | `pip install numpy<2.0` | - skills-imported/bio-research-scvi-tools/references/environment_setup.md, line 224
pip install --upgrade scvi-tools - skills-imported/bio-research-scvi-tools/references/environment_setup.md, line 227
pip install --upgrade scvi-tools scanpy anndata torch - skills-imported/bio-research-scvi-tools/references/environment_setup.md, line 232
pip install scvi-tools - skills-imported/bio-research-scvi-tools/references/troubleshooting.md, line 14
| Import error | Missing dependencies | `pip install scvi-tools[all]` | - skills-imported/bio-research-scvi-tools/references/troubleshooting.md, line 161
pip install torch --index-url https://download.pytorch.org/whl/cu118 # For CUDA 11.8
and 6 more places
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'bio-research-scvi-tools' ] || [ -L ~/.agents/skills/'bio-research-scvi-tools' ]; then echo 'A skill folder named bio-research-scvi-tools already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/aicodedecode/awesome-muse-skills' "$d" && git -C "$d" checkout --quiet 'faf37c0859ebf627bfcb5225e8057d088691e0ae' -- 'skills-imported/bio-research-scvi-tools' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills-imported/bio-research-scvi-tools' ~/.agents/skills/'bio-research-scvi-tools' && rm -rf "$d"; fi
Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'bio-research-scvi-tools' ~/.claude/skills/'bio-research-scvi-tools' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
The badge for aicodedecode/awesome-muse-skills shows the score of its lowest-scoring skill.

[](https://zalavijaysinh.github.io/skilltrust/repos/aicodedecode/awesome-muse-skills/)
Score history
| Date | Version | Score |
|---|
| 2026-11-07 | faf37c0 | 80 |