ACMG Variant Classifier Skill
SkillDev toolsACMG/AMP variant classification skill for systematic pathogenicity assessment
Use ACMG Variant Classifier Skill in Claude, ChatGPT or Ahel Desktop
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Then ask your AI: use the ACMG Variant Classifier Skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/bioinformatics/skills/acmg-variant-classifier/SKILL.md and read by Ahel’s review.
Purpose
Enable ACMG/AMP variant classification for systematic pathogenicity assessment following clinical guidelines.
Capabilities
- Automated evidence criteria application
- Population frequency filtering
- In silico prediction integration
- Literature evidence curation
- Inheritance pattern analysis
- Classification report generation
Usage Guidelines
- Apply ACMG criteria systematically
- Document evidence for each criterion
- Consider inheritance patterns in assessment
- Review literature for supporting evidence
- Generate clear classification reports
- Track classification changes over time
Dependencies
- InterVar
- VarSome API
- ClinVar
Process Integration
- Clinical Variant Interpretation (clinical-variant-interpretation)
- Rare Disease Diagnostic Pipeline (rare-disease-diagnostics)
- Newborn Screening Genomics (newborn-screening-genomics)
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
acmg-variant-classifier- Source
- github.com/a5c-ai/babysitter