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pseudotime-trajectory-viz

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Analyze data with `pseudotime-trajectory-viz` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.

When to use

• Use this skill when the task needs Visualize single-cell developmental trajectories showing cellular differentiation processes using pseudotime analysis.
• Use this skill for data analysis tasks that require explicit assumptions, bounded scope, and a reproducible output format.
• Use this skill when you need a documented fallback path for missing inputs, execution errors, or partial evidence.

When not to use

• Requires high-quality single-cell data with good cell type coverage
• Assumes differentiation is the main source of variation
• May not capture rare transitional states with few cells
• Circular or cyclic processes not well represented by linear pseudotime
• RNA velocity requires spliced/unspliced counts in AnnData layers

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