Individual skill
flowkit
Analyzes flow cytometry data with FlowKit, including spillover compensation, logicle and biexponential transforms, hierarchical gating, GatingML strategies, and supported FlowJo 10 workspaces. Use for reproducible gate counts, population percentages, gated fluorescence summaries, or reproducing a FlowJo analysis in Python. For FCS metadata inspection or file-format repair alone, use FlowIO.
skills/flowkit/SKILL.md
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# FlowKit
## When to use
Use FlowKit to apply or build cytometry gating strategies, analyze batches of
FCS samples, or reproduce supported FlowJo workspace analyses. It supports
GatingML 2.0 and a **subset of FlowJo 10 features**. Import success alone does
not establish agreement with FlowJo.
The examples and bundled helper target **FlowKit 1.3.2 on Python 3.13**.
Upstream supports additional Python versions; those were not exercised here.
The helper and examples were tested on synthetic FCS data, including a public
FlowJo 10.7.1 synthetic workspace fixture. They are not biological validation.
