Visualize gene exon-intron structure
Install with Tessl CLI
npx tessl i github:aipoch/medical-research-skills --skill gene-structure-mapper50
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillValidation for skill structure
Script invocation with format and file output
Uses main.py script
0%
100%
Gene parameter used
0%
100%
Format parameter used
0%
100%
Output saved to file
0%
50%
Command logged
100%
100%
Without context: $0.6700 · 2m 59s · 31 turns · 32 in / 8,929 out tokens
With context: $0.5471 · 1m 59s · 30 turns · 467 in / 6,552 out tokens
Mutation position marking
Uses main.py script
0%
100%
Gene parameter used
0%
100%
Mutations parameter used
0%
60%
Comma-separated mutation list
0%
60%
Output saved to file
50%
70%
Command logged
100%
100%
Without context: $0.4210 · 1m 45s · 26 turns · 25 in / 5,458 out tokens
With context: $0.5548 · 2m 4s · 30 turns · 631 in / 6,494 out tokens
Domain annotation feature
Uses main.py script
0%
100%
Gene parameter used
0%
100%
Domains flag used
0%
100%
Format parameter used
0%
100%
Output saved to file
53%
100%
Command logged
80%
100%
Without context: $1.5973 · 7m 5s · 58 turns · 239 in / 25,071 out tokens
With context: $0.5770 · 2m 34s · 28 turns · 479 in / 8,191 out tokens
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.