Bio Flow Cytometry Clustering Phenotyping
GPTomics/bioSkills
Unsupervised clustering and cell-type identification for high-dimensional flow, spectral, and mass cytometry - FlowSOM, PhenoGraph, FlowSOM-via-CATALYST, with UMAP/tSNE for visualization.
Agent skill
by FreedomIntelligence in FreedomIntelligence/OpenClaw-Medical-Skills
Unsupervised clustering and cell type identification for flow/mass cytometry.
$ npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-flow-cytometry-clustering-phenotyping -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills bio-flow-cytometry-clustering-phenotyping --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "bio-flow-cytometry-clustering-phenotyping" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-flow-cytometry-clustering-phenotyping into .claude/skills/bio-flow-cytometry-clustering-phenotyping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-flow-cytometry-clustering-phenotyping", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-flow-cytometry-clustering-phenotypingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-flow-cytometry-clustering-phenotyping -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills bio-flow-cytometry-clustering-phenotyping --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/bio-flow-cytometry-clustering-phenotyping .agents/skills/bio-flow-cytometry-clustering-phenotyping && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "bio-flow-cytometry-clustering-phenotyping" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-flow-cytometry-clustering-phenotyping into .agents/skills/bio-flow-cytometry-clustering-phenotyping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-flow-cytometry-clustering-phenotyping", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-flow-cytometry-clustering-phenotyping -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills bio-flow-cytometry-clustering-phenotyping --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/bio-flow-cytometry-clustering-phenotyping .cursor/skills/bio-flow-cytometry-clustering-phenotyping && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "bio-flow-cytometry-clustering-phenotyping" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-flow-cytometry-clustering-phenotyping into .cursor/skills/bio-flow-cytometry-clustering-phenotyping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-flow-cytometry-clustering-phenotyping", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills.git --path skills/bio-flow-cytometry-clustering-phenotyping--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-flow-cytometry-clustering-phenotyping -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills bio-flow-cytometry-clustering-phenotyping --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/bio-flow-cytometry-clustering-phenotyping .gemini/skills/bio-flow-cytometry-clustering-phenotyping && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "bio-flow-cytometry-clustering-phenotyping" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-flow-cytometry-clustering-phenotyping into .gemini/skills/bio-flow-cytometry-clustering-phenotyping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-flow-cytometry-clustering-phenotyping", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills bio-flow-cytometry-clustering-phenotypingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-flow-cytometry-clustering-phenotyping -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/bio-flow-cytometry-clustering-phenotyping .github/skills/bio-flow-cytometry-clustering-phenotyping && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "bio-flow-cytometry-clustering-phenotyping" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-flow-cytometry-clustering-phenotyping into .github/skills/bio-flow-cytometry-clustering-phenotyping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-flow-cytometry-clustering-phenotyping", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-flow-cytometry-clustering-phenotyping -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills bio-flow-cytometry-clustering-phenotyping --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/bio-flow-cytometry-clustering-phenotyping .opencode/skills/bio-flow-cytometry-clustering-phenotyping && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "bio-flow-cytometry-clustering-phenotyping" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-flow-cytometry-clustering-phenotyping into .opencode/skills/bio-flow-cytometry-clustering-phenotyping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-flow-cytometry-clustering-phenotyping", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
bio-flow-cytometry-clustering-phenotypingUnsupervised 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. 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🦞.
Read from SKILL.md and the folder at commit b1f9b6e. It shows what the files ask for, not the result of running them.
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.
Ships script files (R), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
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+”
SKILL.md and 2 other files in skills/bio-flow-cytometry-clustering-phenotyping of FreedomIntelligence/OpenClaw-Medical-Skills.
Open the folder on GitHubat commit b1f9b6e
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.
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Bio Flow Cytometry Clustering Phenotyping this skillFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | 1 repos | ~1.8k | Automated safety check: Pass | None | |
| Bio Flow Cytometry Clustering PhenotypingGPTomics/bioSkills | 1.2k | 1 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Bio Imaging Mass Cytometry PhenotypingGPTomics/bioSkills | 1.2k | 1 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Bio Imaging Mass Cytometry Data PreprocessingGPTomics/bioSkills | 1.2k | 1 repos | ~4.2k | Automated safety check: Pass | MIT | |
| Bio Flow Cytometry Cytometry QcGPTomics/bioSkills | 1.2k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Bio Imaging Mass Cytometry Cell SegmentationGPTomics/bioSkills | 1.2k | 1 repos | ~3.5k | Automated safety check: Pass | MIT |
GPTomics/bioSkills
Unsupervised clustering and cell-type identification for high-dimensional flow, spectral, and mass cytometry - FlowSOM, PhenoGraph, FlowSOM-via-CATALYST, with UMAP/tSNE for visualization.
GPTomics/bioSkills
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)…
GPTomics/bioSkills
Load and preprocess imaging mass cytometry (IMC) and MIBI data from raw MCD/TXT through hot-pixel removal, spillover compensation, and variance-stabilizing transformation, covering readimc/steinbock…
GPTomics/bioSkills
Quality control for flow, spectral, and mass cytometry - time-based anomaly cleaning (flowAI, flowCut, PeacoQC, flowClean), margin/boundary event removal, signal-drift detection, dead-cell…
GPTomics/bioSkills
Segment single cells from multiplexed IMC/MIBI tissue images using Mesmer/DeepCell, Cellpose, or ilastik+CellProfiler, covering whole-cell vs nuclear segmentation, the summed-membrane-channel…
GPTomics/bioSkills
Compare cell-type composition and spatial features across conditions in IMC/MIBI cohorts with the patient as the experimental unit, covering pseudoreplication, per-patient aggregation, mixed models…
FreedomIntelligence/OpenClaw-Medical-Skills
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations.
FreedomIntelligence/OpenClaw-Medical-Skills
Select and apply numerical differentiation schemes for PDE/ODE discretization.
FreedomIntelligence/OpenClaw-Medical-Skills
FHIR API development guide for building healthcare endpoints.
FreedomIntelligence/OpenClaw-Medical-Skills
Select and configure linear solvers for systems Ax=b in dense and sparse problems.
FreedomIntelligence/OpenClaw-Medical-Skills
Query 14+ biomedical databases for drug repurposing, target discovery, clinical trials, and literature research.
FreedomIntelligence/OpenClaw-Medical-Skills
Plan and evaluate mesh generation for numerical simulations.
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.
Bio Flow Cytometry Clustering Phenotyping fits situations like: discovering cell populations in high-dimensional cytometry data without predefined gates.
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.
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.
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.
Going by SKILL.md and its folder, Bio Flow Cytometry Clustering Phenotyping needs R for the scripts in its folder.
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.
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.
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.
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.
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.
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.