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k-dense-ai/scientific-agent-skills

v2.72.0MIT

Ready-to-use scientific and research Agent Skills for biology, chemistry, medicine, and related workflows.

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.

Version
1.1
License
MIT
Compatibility
Requires Python 3.13 with flowkit==1.3.2 for the tested environment. Dependencies include FlowIO, FlowUtils, NumPy, pandas, SciPy, lxml, and Bokeh. Installation needs network access; analysis uses local FCS/XML/WSP files without credentials. FlowUtils needs a C compiler if a compatible wheel is unavailable.
Read SKILL.md at the source

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