arboreto
80 / 100 · Low risk
Fine to try.
Infers candidate gene regulatory networks from bulk or single-cell expression data using AertsLab Arboreto GRNBoost2 and GENIE3. Use for transcription factor-target association ranking, compatible Dask execution, sparse expression inputs, and network stability checks.
What this skill can do
Runs commands on your computer
Downloads and installs other software
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'arboreto' ] || [ -L ~/.agents/skills/'arboreto' ]; then echo 'A skill folder named arboreto already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/K-Dense-AI/claude-scientific-skills' "$d" && git -C "$d" checkout --quiet '2d2065fb4520fa3f3f2bcf61cff26ec8b7eba4b5' -- 'skills/arboreto' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/arboreto' ~/.agents/skills/'arboreto' && 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/'arboreto' ~/.claude/skills/'arboreto' (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
[](https://zalavijaysinh.github.io/skilltrust/repos/K-Dense-AI/claude-scientific-skills/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-10 | 2d2065f | 80 |
| 2026-11-08 | a25cf9e | 80 |
| 2026-11-07 | a25cf9e | 80 |
Also found in
- K-Dense-AI/scientific-agent-skills/skills/arboreto