vep-variant-annotator
Variant Effect Predictor skill for comprehensive variant annotation with clinical database integration
npx skills add a5c-ai/babysitter --skill vep-variant-annotator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# VEP Variant Annotator Skill ## Purpose Provide comprehensive variant annotation using Variant Effect Predictor with clinical database integration. ## Capabilities - Functional consequence prediction - Population frequency annotation (gnomAD) - Clinical database integration (ClinVar, COSMIC) - Custom annotation plugins - Pathogenicity score integration (CADD, REVEL) - Regulatory region annotation ## Usage Guidelines - Configure VEP with relevant annotation sources - Include population frequency databases - Add clinical databases for interpretation - Use pathogenicity predictors for prioritization - Document annotation database versions - Update annotations regularly ## Dependencies - Ensembl VEP - ANNOVAR - SnpEff ## Process Integration - Whole Genome Sequencing Pipeline (wgs-analysis-pipeline) - Clinical Variant Interpretation (clinical-variant-interpretation) - Pharmacogenomics Analysis (pharmacogenomics-analysis) - Rare Disease Diagnostic Pipeline (rare-disease-diagnostics)
- Purpose
- Capabilities
- Usage Guidelines
- Dependencies
- Process Integration
What does the vep-variant-annotator skill do?
Variant Effect Predictor skill for comprehensive variant annotation with clinical database integration
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill vep-variant-annotator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.