Agent skill

Bio Flow Cytometry Clustering Phenotyping

by FreedomIntelligence in FreedomIntelligence/OpenClaw-Medical-Skills

Unsupervised clustering and cell type identification for flow/mass cytometry.

No licenceAuto-check passed

Install Bio Flow Cytometry Clustering Phenotyping

skills CLI
$ npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-flow-cytometry-clustering-phenotyping -a claude-code

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

GitHub CLI
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills bio-flow-cytometry-clustering-phenotyping --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/FreedomIntelligence/OpenClaw-Medical-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/bio-flow-cytometry-clustering-phenotyping .claude/skills/bio-flow-cytometry-clustering-phenotyping && 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
bio-flow-cytometry-clustering-phenotyping
GitHub stars
3.1k
Used in
1 other repo
Token cost
~1.8k tokens
SKILL.md length
439 words
Files
3
Skills in repo
279
Repo updated
First seen
Licence
None found

At a glance

Unsupervised clustering and cell type identification for flow/mass cytometry.

  • Discovering cell populations in high-dimensional cytometry data without predefined gates
  • SKILL.md covers Version Compatibility, FlowSOM Clustering, CATALYST Workflow (Full… and Phenograph Clustering, plus 9 more sections
  • Runs R scripts from its folder

What it does

Bio Flow Cytometry Clustering Phenotyping is an agent skill from FreedomIntelligence/OpenClaw-Medical-Skills. Unsupervised clustering and cell type identification for flow/mass cytometry. Covers FlowSOM, Phenograph, and CATALYST workflows. Use when discovering cell populations in high-dimensional cytometry data without predefined gates.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `usage-guide.md`).

The repository describes itself as: The largest open-source medical AI skills library for OpenClaw🦞.

When your agent uses it

  • Discovering cell populations in high-dimensional cytometry data without predefined gates

Example prompts

  • “/bio-flow-cytometry-clustering-phenotyping”

What it can do on your machine

Read from SKILL.md and the folder at commit b1f9b6e. 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

    Ships script files (R), which the agent can run.

    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

Bio Flow Cytometry Clustering Phenotyping loads about 1.8k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 439 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 439 words (~1,759 tokens).

“Reference examples tested with: FlowSOM 2.10+, scanpy 1.10+”

— opening of SKILL.md by FreedomIntelligence
name
bio-flow-cytometry-clustering-phenotyping
tool_type
r
primary_tool
CATALYST

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files in skills/bio-flow-cytometry-clustering-phenotyping of FreedomIntelligence/OpenClaw-Medical-Skills.

  • SKILL.md
  • examples/cluster_cytof.R
  • usage-guide.md

Open the folder on GitHubat commit b1f9b6e

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 FreedomIntelligence/OpenClaw-Medical-Skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Bio Flow Cytometry Clustering Phenotyping 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.

Bio Flow Cytometry Clustering Phenotyping compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Bio Flow Cytometry Clustering Phenotyping this skillFreedomIntelligence/OpenClaw-Medical-Skills3.1k1 repos~1.8kAutomated safety check: PassNone
Bio Flow Cytometry Clustering PhenotypingGPTomics/bioSkills1.2k1 repos~2.3kAutomated safety check: PassMIT
Bio Imaging Mass Cytometry PhenotypingGPTomics/bioSkills1.2k1 repos~3.5kAutomated safety check: PassMIT
Bio Imaging Mass Cytometry Data PreprocessingGPTomics/bioSkills1.2k1 repos~4.2kAutomated safety check: PassMIT
Bio Flow Cytometry Cytometry QcGPTomics/bioSkills1.2k1 repos~2.5kAutomated safety check: PassMIT
Bio Imaging Mass Cytometry Cell SegmentationGPTomics/bioSkills1.2k1 repos~3.5kAutomated safety check: PassMIT

Similar skills

  • Unsupervised clustering and cell-type identification for high-dimensional flow, spectral, and mass cytometry - FlowSOM, PhenoGraph, FlowSOM-via-CATALYST, with UMAP/tSNE for visualization.

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  • Assign cell types from marker expression in IMC/MIBI data using clustering (PhenoGraph/FlowSOM/Leiden/Pixie), marker-based probabilistic classifiers (Astir), or image-context CNNs (CellSighter)…

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Questions about Bio Flow Cytometry Clustering Phenotyping

What does Bio Flow Cytometry Clustering Phenotyping do?

Unsupervised clustering and cell type identification for flow/mass cytometry. Bio Flow Cytometry Clustering Phenotyping is an agent skill from FreedomIntelligence/OpenClaw-Medical-Skills. Unsupervised clustering and cell type identification for flow/mass cytometry.

When should I use Bio Flow Cytometry Clustering Phenotyping?

Bio Flow Cytometry Clustering Phenotyping fits situations like: discovering cell populations in high-dimensional cytometry data without predefined gates.

How do I install Bio Flow Cytometry Clustering Phenotyping in Claude Code?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-flow-cytometry-clustering-phenotyping -a claude-code`. Or copy the skill folder (skills/bio-flow-cytometry-clustering-phenotyping in FreedomIntelligence/OpenClaw-Medical-Skills) into .claude/skills/bio-flow-cytometry-clustering-phenotyping in your project. Claude Code loads it when a task matches its description.

How do I install Bio Flow Cytometry Clustering Phenotyping in Codex?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-flow-cytometry-clustering-phenotyping -a codex`. Or copy the skill folder (skills/bio-flow-cytometry-clustering-phenotyping in FreedomIntelligence/OpenClaw-Medical-Skills) into .agents/skills/bio-flow-cytometry-clustering-phenotyping in your project. Codex loads it when a task matches its description.

Can I use Bio Flow Cytometry Clustering Phenotyping 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 FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-flow-cytometry-clustering-phenotyping -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bio-flow-cytometry-clustering-phenotyping, .gemini/skills/bio-flow-cytometry-clustering-phenotyping, .github/skills/bio-flow-cytometry-clustering-phenotyping and .opencode/skills/bio-flow-cytometry-clustering-phenotyping in your project.

What does Bio Flow Cytometry Clustering Phenotyping need to run?

Going by SKILL.md and its folder, Bio Flow Cytometry Clustering Phenotyping needs R for the scripts in its folder.

Does Bio Flow Cytometry Clustering Phenotyping 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 Bio Flow Cytometry Clustering Phenotyping 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 Bio Flow Cytometry Clustering Phenotyping use?

No licence was found for Bio Flow Cytometry Clustering Phenotyping or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Bio Flow Cytometry Clustering Phenotyping use?

About 1.8k tokens (SKILL.md is roughly 7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Bio Flow Cytometry Clustering Phenotyping?

Skills that share tags, products or a category with Bio Flow Cytometry Clustering Phenotyping: Bio Flow Cytometry Clustering Phenotyping (GPTomics/bioSkills, 1.2k stars), Bio Imaging Mass Cytometry Phenotyping (GPTomics/bioSkills, 1.2k stars), Bio Imaging Mass Cytometry Data Preprocessing (GPTomics/bioSkills, 1.2k stars) and Bio Flow Cytometry Cytometry Qc (GPTomics/bioSkills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bio Flow Cytometry Clustering Phenotyping?

FreedomIntelligence (a GitHub organization) maintains it in FreedomIntelligence/OpenClaw-Medical-Skills, which has 3,053 GitHub stars. The repository holds 279 skills in this directory. The repository was last updated on July 21, 2026.

Source: FreedomIntelligence/OpenClaw-Medical-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.