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volcano-plot-script

Generate R/Python code for volcano plots from DEG (Differentially Expressed Genes) analysis results. Triggered when user needs visualization of gene expression data, p-value vs fold-change scatter plots, publication-ready figures for bioinformatics analysis.

Install with Tessl CLI

npx tessl i github:aipoch/medical-research-skills --skill volcano-plot-script
What are skills?

62

Does it follow best practices?

Validation for skill structure

SKILL.md
Review
Evals

Evaluation results

100%

12%

RNA-seq DEG Visualization for Manuscript Submission

Script-based DEG visualization with custom thresholds

Criteria
Without context
With context

Uses main.py script

0%

100%

Correct input flag

100%

100%

Correct output flag

100%

100%

Custom p-value threshold

100%

100%

Custom log2FC threshold

100%

100%

Output DPI 300+

100%

100%

Output file name

100%

100%

PNG output format

100%

100%

run_command.sh created

100%

100%

Column names correct

100%

100%

Without context: $0.4304 · 2m · 30 turns · 205 in / 6,281 out tokens

With context: $0.5872 · 1m 44s · 28 turns · 66 in / 5,321 out tokens

100%

37%

Accessible Volcano Plot for Colorblind Reviewers

Colorblind-friendly colors and custom gene labeling

Criteria
Without context
With context

Uses main.py script

0%

100%

Uses --label-genes flag

0%

100%

Avoids red-green color combination

100%

100%

Colorblind-friendly palette

100%

100%

Custom colors via flags

0%

100%

Output file name correct

100%

100%

run_command.sh created

100%

100%

Gene label file extracted

100%

100%

Suppresses default top-N auto-labeling

50%

100%

PNG output format

100%

100%

Without context: $0.2915 · 1m 26s · 19 turns · 26 in / 4,545 out tokens

With context: $0.6206 · 1m 41s · 29 turns · 6,393 in / 5,349 out tokens

100%

46%

Multi-Format DEG Analysis Deliverable for Cross-Platform Lab

R script export and significant genes output

Criteria
Without context
With context

Uses main.py script

0%

100%

Uses --export-r flag

0%

100%

Uses --sig-genes-output flag

0%

100%

Output PNG created

100%

100%

R script uses ggplot2

100%

100%

R script uses dplyr

0%

100%

R script negative log10 y-axis

100%

100%

R script threshold lines

100%

100%

significant_genes.csv contains data

100%

100%

run_command.sh created

100%

100%

Without context: $0.6309 · 2m 25s · 32 turns · 38 in / 8,402 out tokens

With context: $0.5324 · 1m 38s · 26 turns · 5,908 in / 4,819 out tokens

Evaluated
Agent
Claude Code

Table of Contents

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