flowio
Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.
npx skills add LeonChaoX/qinyan-academic-skills --skill flowio --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# FlowIO: Flow Cytometry Standard File Handler ## Overview FlowIO is a lightweight Python library for reading and writing Flow Cytometry Standard (FCS) files. Parse FCS metadata, extract event data, and create new FCS files with minimal dependencies. The library supports FCS versions 2.0, 3.0, and 3.1, making it ideal for backend services, data pipelines, and basic cytometry file operations. ## When to Use This Skill This skill should be used when: - FCS files requiring parsing or metadata extraction - Flow cytometry data needing conversion to NumPy arrays - Event data requiring export to FCS format - Multi-dataset FCS files needing separation - Channel information extraction (scatter, fluorescence, time) - Cytometry file validation or inspection - Pre-processing workflows before advanced analysis **Related Tools:** For advanced flow cytometry analysis including compensation, gating, and FlowJo/GatingML support, recommend FlowKit library as a companion to FlowIO. ## Installation ```bash uv pip install flowio ``` Requires Python 3.9 or later. ## Quick Start ### Basic File Reading ```python from flowio import FlowData # Read FCS file flow_data = FlowData('experiment.fcs') # Access ba
- Overview
- When to Use This Skill
- Installation
- Quick Start
- Basic File Reading
- Creating FCS Files
- Core Workflows
- Reading and Parsing FCS Files
- Extracting Metadata and Channel Information
- Creating New FCS Files
- Exporting Modified Data
- Handling Multi-Dataset FCS Files
- Data Preprocessing
- Error Handling
uv pip install flowio
What does the flowio skill do?
Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.
How do I install it?
Run `npx skills add LeonChaoX/qinyan-academic-skills --skill flowio --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 LeonChaoX/qinyan-academic-skills, a repository with 759 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.