Structural variant detection skill for identifying CNVs, inversions, translocations, and complex rearrangements
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill structural-variant-detector --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: structural-variant-detector
description: Structural variant detection skill for identifying CNVs, inversions, translocations, and complex rearrangements
allowed-tools:
- Read
- Write
- Glob
- Grep
- Edit
- WebFetch
- WebSearch
- Bash
metadata:
version: "1.0"
category: bioinformatics
tags:
- variant-analysis
- structural-variants
- cnv
- sv
graph:
domains: [domain:bioinformatics]
specializations: [specialization:biomedical-informatics]
skillAreas: [skill-area:graph-algorithms, skill-area:statistical-analysis, skill-area:data-analysis]
workflows: [workflow:experiment-design]
roles: [role:research-engineer, role:biomedical-engineer]
---
# Structural Variant Detector Skill
## Purpose
Enable structural variant detection for identifying CNVs, inversions, translocations, and complex rearrangements.
## Capabilities
- Split-read and paired-end SV calling
- Copy number variation detection
- Mobile element insertion detection
- Complex SV resolution
- SV annotation and visualization
- Multi-caller integration
## Usage Guidelines
- Use multiple callers for comprehensive detection
- Integrate results from different algorithms
- Validate SVs with independent methods
- Annotate SVs with functional impact
- Visualize SVs for manual review
- Document caller combinations and filters
## Dependencies
- Manta
- DELLY
- CNVkit
- LUMPY
- GRIDSS
## Process Integration
- Whole Genome Sequencing Pipeline (wgs-analysis-pipeline)
- Tumor Molecular Profiling (tumor-molecular-profiling)
- Long-Read Sequencing Analysis (long-read-analysis)
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