Workflow for paired or integrated single-cell RNA and ATAC analysis with multimodal latent spaces and regulatory interpretation.

Custom licenceAuto-check passedResearch & Science

Install Multiome Scatac

skills CLI
$ npx skills add BioTender-max/awesome-bio-agent-skills --skill multiome-scatac -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install BioTender-max/awesome-bio-agent-skills multiome-scatac --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/BioTender-max/awesome-bio-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/bioclaw_hub/multiome-scatac .claude/skills/multiome-scatac && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
multiome-scatac
GitHub stars
199
Used in
1 other repo
Token cost
~1.1k tokens
SKILL.md length
496 words
Files
3 (incl. references)
Skills in repo
23
Repo updated
First seen
Licence
Custom licence

At a glance

Workflow for paired or integrated single-cell RNA and ATAC analysis with multimodal latent spaces and regulatory interpretation.

  • Works in 5 steps: QC both modalities → Create harmonized features → Integrate modalities → …
  • Tasks that involve Bioinformatics
  • SKILL.md covers Version Compatibility, Overview, When To Use This Skill and Quick Route, plus 12 more sections
  • Calls python

What it does

Multiome Scatac is an agent skill from BioTender-max/awesome-bio-agent-skills. Workflow for paired or integrated single-cell RNA and ATAC analysis with multimodal latent spaces and regulatory interpretation.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `README.md` and `references/technical_reference.md`).

It sits in Research & Science, covering Bioinformatics. It works with Python. The repository describes itself as: A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.

When your agent uses it

  • Tasks that involve Bioinformatics

Example prompts

  • “/multiome-scatac”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. QC both modalities
  2. Create harmonized features
  3. Integrate modalities
  4. Interpret regulatory signals
  5. Export multimodal state summaries

What it can do on your machine

Read from SKILL.md and the folder at commit 8cbdd18. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Multiome Scatac loads about 1.1k tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 36 tokens; SKILL.md has 496 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 496 words (~1,096 tokens).

“Reference examples assume recent stable releases of the preferred tools, especially scanpy and the other tools listed below.”

— opening of SKILL.md by BioTender-max, Custom licence
name
multiome-scatac
tool_type
python
primary_tool
scanpy

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in skills/bioclaw_hub/multiome-scatac of BioTender-max/awesome-bio-agent-skills.

  • SKILL.md
  • README.md
  • references/technical_reference.md

Open the folder on GitHubat commit 8cbdd18

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in BioTender-max/awesome-bio-agent-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Multiome Scatac next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Multiome Scatac compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Multiome Scatac this skillBioTender-max/awesome-bio-agent-skills1991 repos~1.1kAutomated safety check: PassCustom licence
Alphagenome Single Variant Analysisgoogle-deepmind/science-skills3.2k2 repos~3kAutomated safety check: NotesApache-2.0
13C Metabolic Flux AnalysisK-Dense-AI/scientific-agent-skills48k1 repos~3.2kAutomated safety check: PassMIT
Singlecell Qcxuzhougeng/wisp-science1k—~1.6kAutomated safety check: PassAGPL-3.0
Trackplotygidtu/trackplot109—~1.9kAutomated safety check: PassBSD-3-Clause
UniProt Database Accessdavila7/claude-code-templates32k14 repos~1.7kAutomated safety check: PassMIT

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Works with

Questions about Multiome Scatac

What does Multiome Scatac do?

Workflow for paired or integrated single-cell RNA and ATAC analysis with multimodal latent spaces and regulatory interpretation. Multiome Scatac is an agent skill from BioTender-max/awesome-bio-agent-skills. Workflow for paired or integrated single-cell RNA and ATAC analysis with multimodal latent spaces and regulatory interpretation.

When should I use Multiome Scatac?

Multiome Scatac fits situations like: tasks that involve Bioinformatics.

How do I install Multiome Scatac in Claude Code?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill multiome-scatac -a claude-code`. Or copy the skill folder (skills/bioclaw_hub/multiome-scatac in BioTender-max/awesome-bio-agent-skills) into .claude/skills/multiome-scatac in your project. Claude Code loads it when a task matches its description.

How do I install Multiome Scatac in Codex?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill multiome-scatac -a codex`. Or copy the skill folder (skills/bioclaw_hub/multiome-scatac in BioTender-max/awesome-bio-agent-skills) into .agents/skills/multiome-scatac in your project. Codex loads it when a task matches its description.

Can I use Multiome Scatac in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add BioTender-max/awesome-bio-agent-skills --skill multiome-scatac -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/multiome-scatac, .gemini/skills/multiome-scatac, .github/skills/multiome-scatac and .opencode/skills/multiome-scatac in your project.

What does Multiome Scatac need to run?

Going by SKILL.md and its folder, Multiome Scatac needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Multiome Scatac access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Multiome Scatac safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Multiome Scatac use?

Multiome Scatac has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Multiome Scatac use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 537 tokens, read only when the agent opens those files.

What are the alternatives to Multiome Scatac?

Skills that share tags, products or a category with Multiome Scatac: Alphagenome Single Variant Analysis (google-deepmind/science-skills, 3.2k stars), 13C Metabolic Flux Analysis (K-Dense-AI/scientific-agent-skills, 48k stars), Singlecell Qc (xuzhougeng/wisp-science, 1k stars) and Trackplot (ygidtu/trackplot, 109 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Multiome Scatac?

BioTender-max (a GitHub user) maintains it in BioTender-max/awesome-bio-agent-skills, which has 199 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on July 1, 2026.

Source: BioTender-max/awesome-bio-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.