bio-single-cell-scatac-analysis
85 / 100 · Low risk
Fine to try.
Analyze single-cell ATAC-seq with Signac/ArchR (R) and SnapATAC2 (Python alternative). Use when processing scATAC fragments, choosing a framework, calling consensus peaks, running TF-IDF/LSI while diagnosing the depth component, scoring chromVAR motif deviations against GC-matched backgrounds, detecting homotypic vs heterotypic doublets, or deciding whether to binarize the count matrix.
What this skill can do
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/'bio-single-cell-scatac-analysis' ] || [ -L ~/.agents/skills/'bio-single-cell-scatac-analysis' ]; then echo 'A skill folder named bio-single-cell-scatac-analysis already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/lilinji/GeneTind-Life-Skills' "$d" && git -C "$d" checkout --quiet '908229c955510a1841b216e8bf58f6b22818d4dc' -- 'skills/bio-single-cell-scatac-analysis' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/bio-single-cell-scatac-analysis' ~/.agents/skills/'bio-single-cell-scatac-analysis' && 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-single-cell-scatac-analysis' ~/.claude/skills/'bio-single-cell-scatac-analysis' (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/lilinji/GeneTind-Life-Skills/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-11 | 908229c | 85 |