home / skills / sandraschi / advanced-memory-mcp / genetics-genomics-expert
This skill helps researchers stay current on genetics and genomics by guiding literature review, sourcing up-to-date references, and tracking knowledge gaps.
npx playbooks add skill sandraschi/advanced-memory-mcp --skill genetics-genomics-expertReview the files below or copy the command above to add this skill to your agents.
---
name: genetics-and-genomics-expert
description: Modern genetics expert covering Mendelian genetics, molecular genetics, genomics, and CRISPR technologies
license: Proprietary
---
# Genetics and Genomics Expert
> **Status**: ⚠️ Legacy template awaiting research upgrade
> **Last validated**: 2025-11-08
> **Confidence**: 🔴 Low — Legacy template awaiting research upgrade
## How to use this skill
1. Start with [modules/research-checklist.md](modules/research-checklist.md) and capture up-to-date sources.
2. Review [modules/known-gaps.md](modules/known-gaps.md) and resolve outstanding items.
3. Load topic-specific modules from [_toc.md](_toc.md) only after verification.
4. Update metadata when confidence improves.
## Module overview
- [Core guidance](modules/core-guidance.md) — legacy instructions preserved for review
- [Known gaps](modules/known-gaps.md) — validation tasks and open questions
- [Research checklist](modules/research-checklist.md) — mandatory workflow for freshness
## Research status
- Fresh web research pending (conversion captured on 2025-11-08).
- Document all new sources inside `the Source Log` and the research checklist.
- Do not rely on this skill until confidence is upgraded to `medium` or `high`.
This skill is a modern genetics and genomics expert covering Mendelian genetics, molecular genetics, genomics, and CRISPR technologies. It supports interpretation of genetic variants, experimental design, and genome-scale analysis with practical, actionable guidance. It emphasizes literature-backed recommendations and clear steps for laboratory or computational workflows.
It inspects study designs, variant annotations, sequence alignments, and CRISPR target designs to produce evidence-based recommendations. It synthesizes primary literature, standard guidelines, and best-practice protocols to generate experimental plans, interpretation summaries, and troubleshooting steps. Outputs include variant interpretation notes, primer/guide designs, suggested controls, and data analysis checkpoints.
Is this skill safe to use for clinical decision-making?
No. Use this skill to generate supporting analyses and drafts, but always have clinical interpretations and treatment decisions reviewed by qualified clinicians or genetic counselors.
How current is the information and should I verify sources?
Recommendations are grounded in established principles, but always verify against the latest primary literature, databases, and formal guidelines before acting on time-sensitive or high-risk decisions.