Deep learning-based variant calling with Google DeepVariant. Provides high accuracy for germline SNPs and indels from Illumina, PacBio, and ONT data.
SkillScore95Maintained
Automatic
◆Research pack
Last verified 8/2/2026
What it changes
Passed 19 of 20 test cases with the skill, and 13 of 20 without it.
Without skill64%
With skill95%
Checks it passed that the model alone missed
The model type specified is ONT_R104.
The GLnexus command sets --config to DeepVariantWGS.
The GLnexus config preset specified is DeepVariantWES.
and 6 more in the full report
8 fixed13 passed either way0 still failing1 broke
Pass-rate lift
+32 pp
Tokens
+116%
Agent turns
0%
Response time
-54%
Model gemini-3.6-flashMeasured 8/2/2026v121 of 22 cases passed with skill · 20 comparable
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 6
Prompt
When performing joint genotyping on a multi-sample cohort of Illumina exome gVCFs using GLnexus in Docker, which `--config` preset must be passed to `glnexus_cli`?
What was checked, without and with the skill
Checked
Without skill
With skill
The GLnexus config preset specified is DeepVariantWES.
Missed
Passed
case-11 · gemini-3.6-flash · 8/2/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md268 linessingle file
DeepVariant Variant Calling
Installation
Docker (Recommended)
docker pull google/deepvariant:1.6.1
# Or with GPU support
docker pull google/deepvariant:1.6.1-gpu