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flowio

8.7

by davila7

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62Favorites
333Upvotes
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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.

flow-cytometry

8.7

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Quick Review

Excellent skill for flow cytometry file processing. The description accurately captures the FCS parsing capabilities, and a CLI agent can clearly understand when and how to invoke this skill. The SKILL.md provides comprehensive task knowledge with detailed code examples covering all major workflows (reading, creating, modifying FCS files, handling multi-dataset files, metadata extraction, error handling). Structure is very well organized with clear sections, progressive complexity, and appropriate separation of detailed API reference into a separate file. The skill addresses a specialized domain (FCS file parsing) that would be cumbersome for a CLI agent to handle independently - requiring knowledge of binary file formats, FCS specifications v2.0-3.1, channel types, preprocessing transforms, and edge cases. This meaningfully reduces token usage and complexity. Minor room for improvement: the description could mention multi-dataset support explicitly, and a brief architecture diagram could enhance structure clarity. Overall, this is a high-quality, production-ready skill documentation.

LLM Signals

Description coverage9
Task knowledge10
Structure9
Novelty8

GitHub Signals

18,073
1,635
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Last commit 0 days ago

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davila7

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davila7

Skill Author

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