Agent skill

flow-cytometry-gating-strategist

Recommend optimal flow cytometry gating strategies for specific cell types and fluorophores

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill flow-cytometry-gating-strategist --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Version: 1.0.0
Declared author: AIPOCH
Path: skills/analysis/flow-cytometry-gating-strategist/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Skill: Flow Cytometry Gating Strategist Recommend optimal flow cytometry gating strategies for given cell types and fluorophores. ## Basic Information - **ID**: 103 - **Name**: Flow Cytometry Gating Strategist - **Purpose**: Flow cytometry data analysis and gating strategy recommendations ## Usage ### Command Line ```bash # Recommended format: comma-separated cell types and fluorophores python scripts/main.py "CD4+ T cells,CD8+ T cells" "FITC,PE,APC" # Or specify parameters separately python scripts/main.py --cell-types "CD4+ T cells,CD8+ T cells" --fluorophores "FITC,PE,APC" # Support more options python scripts/main.py \ --cell-types "B cells" \ --fluorophores "FITC,PE,PerCP-Cy5.5,APC" \ --instrument "BD FACSCanto II" \ --purpose "cell sorting" ``` ## Parameters | Parameter | Type | Default | Required | Description | |-----------|------|---------|----------|-------------| | `--cell-types` | string | - | Yes | Comma-separated list of cell types (e.g., "CD4+ T cells,CD8+ T cells") | | `--fluorophores` | string | - | Yes | Comma-separated list of fluorophores (e.g., "FITC,PE,APC") | | `--instrument` | string | - | No | Flow cytometer model (e.g., "BD FACSCanto II") | | `--purpose`

What's inside
Steps it walks through
  1. Basic Information
  2. Usage
  3. Command Line
  4. Parameters
  5. Output Format
  6. Supported Cell Types
  7. Supported Fluorophores
  8. Gating Strategy Types
  9. 1. Sequential Gating
  10. 2. Boolean Gating
  11. 3. Dimensionality Reduction Gating
  12. 4. Unsupervised Clustering
  13. Notes
  14. Dependencies
Ships with 1 file
  • metadata.json
Commands it runs
Recommended format: comma-separated cell types and fluorophores
python scripts/main.py "CD4+ T cells,CD8+ T cells" "FITC,PE,APC"
Or specify parameters separately
python scripts/main.py --cell-types "CD4+ T cells,CD8+ T cells" --fluorophores "FITC,PE,APC"
Support more options
python scripts/main.py \
More from claude-skill-registry
All skills →
descriptive-statisticsSummarizing and visualizing data through measures of center, spread, shape, and position. Covers…Data & Analyticsperplexity-researcher-reasoning-proHighest level of research and reasoning capabilities for complex decision-making with significant…OtherretroBrutally honest engineering retrospective. Analyzes git history for what actually happened — not…Data & AnalyticsanalyzeUniversal multi-perspective analyzer for any topic, file, idea, or decision. Extract key points…Otherarize-prompt-optimizationINVOKE THIS SKILL when optimizing, improving, or debugging LLM prompts using production trace data…Data & Analyticscellxgene-contextGuide for integrating CellxGene Census single-cell data with ENCODE bulk experiments. Use when…Data & Analytics
About this skill
What does the flow-cytometry-gating-strategist skill do?

Recommend optimal flow cytometry gating strategies for specific cell types and fluorophores

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill flow-cytometry-gating-strategist --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going
All skills →
The full catalog, by category and by tool.
Open Source Radar →
The repositories these skills come from, watched daily.
The people behind them →
Makers and builders across the ecosystem.