ATAC-seq Clustering Performance Interpretation
Turns published scATAC-seq clustering metrics into a ranked method comparison
Test report
- Verdict
- Tested · Works
- Score
- Tested
- Jul 28, 2026
- Environment
- Claude Code 2.x (agent harness)
- Upstream re-checked
- Jul 30, 2026 · 66c8b13
⚠ This skill is no longer available upstream. Our re-check on Aug 10, 2026 couldn't find it any more (repo unreachable/deleted). The test below is what we measured on Jul 28, 2026 and we're leaving it up as a record — but there is nothing left to install, so we've removed the command.
Fed it a four-method by five-dataset NMI table with two cells missing and asked which pipeline to adopt. Both runs picked SnapATAC, but the skill-guided answer added what mattered: it kept the NA cells explicit and reported means twice, over available values and over the three datasets every method shared, which is what exposes that the top raw mean (0.783) belongs to a method that skipped the two hardest datasets and leads by only 0.017 on shared ground. It also produced median, rank, per-dataset winners, a spot-check of five cells against the source, and gaps in absolute and relative terms (+0.124 NMI, +22% for kmers+PCA over motifs+PCA) — the unaided answer gave means, a winner and one caveat. Scope is narrow, essentially one published benchmark, and the frontmatter carries a stray provenance line naming a metabolomics collector script.
Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works
- Installs cleanly 5/5
- Triggers reliably 5/5
- Output vs. baseline 7/10
- Docs & honesty 4/5
What ATAC-seq Clustering Performance Interpretation does
A method card for extracting NMI, ARI and purity scores out of single-cell ATAC-seq benchmark tables, standardising them into a method-by-dataset matrix, and ranking the pipelines with summary statistics and quantified gaps. Triggers when you are deciding which published clustering method or variant to adopt, or whether yours is competitive. Pure guidance, no scripts or dependencies.
How to install ATAC-seq Clustering Performance Interpretation
Nothing to install: the source repository no longer has this skill. If the author brings it back, our daily re-check will pick it up and the command will reappear here.
Commands — how to trigger ATAC-seq Clustering Performance Interpretation
-
/atac-seq-clustering-performance-interpretationTurns published scATAC-seq clustering metrics into a ranked method comparison
It also activates on plain-language prompts like these:
-
Which published scATAC-seq clustering method should I adopt for this? -
Rank these ATAC-seq clustering methods across datasets using NMI and ARI -
I have NMI and ARI numbers from a scATAC benchmark, which variant wins?
Frequently asked questions
- Is the ATAC-seq Clustering Performance Interpretation skill free?
- Yes. The skill itself is free from HolobiomicsLab/asb-skill-collections. SkillProof publishes the install command and an independent test verdict at no cost.
- Does ATAC-seq Clustering Performance Interpretation work with Claude Code?
- We tested it with Claude Code 2.x (agent harness) on Jul 28, 2026. Verdict: Tested · Works. Fed it a four-method by five-dataset NMI table with two cells missing and asked which pipeline to adopt. Both runs picked SnapATAC, but the skill-guided answer added what mattered: it kept the NA cells explicit and reported means twice, over available values and over the three datasets every method shared, which is what exposes that the top raw mean (0.783) belongs to a method that skipped the two hardest datasets and leads by only 0.017 on shared ground. It also produced median, rank, per-dataset winners, a spot-check of five cells against the source, and gaps in absolute and relative terms (+0.124 NMI, +22% for kmers+PCA over motifs+PCA) — the unaided answer gave means, a winner and one caveat. Scope is narrow, essentially one published benchmark, and the frontmatter carries a stray provenance line naming a metabolomics collector script.
- What is the ATAC-seq Clustering Performance Interpretation SkillProof Score?
- 8.4/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 7/10, docs & honesty 4/5.
- How do I install ATAC-seq Clustering Performance Interpretation?
- Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
- Can I use ATAC-seq Clustering Performance Interpretation with Cursor, Copilot, Gemini CLI, Codex or other AI tools?
- The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.