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pseudotime-trajectory-viz

Visualize single-cell developmental trajectories (pseudotime) to show how cells differentiate from stem cells to mature cells. Includes trajectory inference, pseudotime calculation, and publication-ready visualizations.

Install with Tessl CLI

npx tessl i github:aipoch/medical-research-skills --skill pseudotime-trajectory-viz
What are skills?

72

Does it follow best practices?

Validation for skill structure

SKILL.md
Review
Evals

Evaluation results

100%

92%

Hematopoietic Differentiation Trajectory Analysis

CLI usage and output file structure

Criteria
Without context
With context

CLI entry point used

0%

100%

analysis_report.json exists

0%

100%

report has method field

0%

100%

report has n_cells field

0%

100%

report has root_cell field

0%

100%

pseudotime_range structure

0%

100%

lineages as dict

0%

100%

pseudotime_values.csv exists

0%

100%

csv has cell_id column

100%

100%

csv has pseudotime column

0%

100%

csv has lineage column

0%

100%

trajectory_plot file

0%

100%

Without context: $0.4337 · 2m 32s · 21 turns · 24 in / 6,424 out tokens

With context: $0.8867 · 3m · 35 turns · 245 in / 7,068 out tokens

100%

86%

Stem Cell Marker Dynamics During Hematopoietic Differentiation

Gene expression dynamics along trajectories

Criteria
Without context
With context

genes flag used

0%

100%

plot-genes flag used

0%

100%

gene_trends directory exists

0%

100%

individual gene trend files

0%

100%

requested genes in trend files

0%

100%

gene expression heatmap

100%

100%

scripts/main.py entry point

0%

100%

trajectory_plot exists

0%

100%

analysis_report.json exists

0%

100%

Without context: $0.6140 · 3m 23s · 29 turns · 82 in / 9,750 out tokens

With context: $0.9437 · 3m 17s · 37 turns · 478 in / 7,775 out tokens

95%

91%

Cell Cluster Connectivity and Graph-Based Trajectory Analysis

PAGA method and alternative trajectory inference

Criteria
Without context
With context

method paga flag

0%

100%

analysis_report method field

14%

100%

paga_graph file exists

0%

100%

start-cell-type flag used

0%

100%

trajectory_plot exists

0%

100%

pseudotime_values.csv exists

0%

100%

analysis_report.json structure

0%

50%

scripts/main.py entry point

0%

100%

output directory used

25%

100%

Without context: $0.6680 · 3m 30s · 30 turns · 37 in / 10,109 out tokens

With context: $1.5617 · 5m 55s · 44 turns · 9,037 in / 17,730 out tokens

Evaluated
Agent
Claude Code

Table of Contents

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