FastQC Quality Analyzer Skill
SkillDev toolsSequencing quality control skill for assessing read quality, adapter contamination, and sequence composition
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the FastQC Quality Analyzer Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/bioinformatics/skills/fastqc-quality-analyzer/SKILL.md and read by ahel’s review.
Purpose
Enable sequencing quality control for assessing read quality, adapter contamination, and sequence composition metrics.
Capabilities
- Per-base quality score analysis
- Sequence duplication detection
- Adapter content identification
- GC content analysis
- Overrepresented sequence detection
- MultiQC report aggregation
Usage Guidelines
- Run FastQC on all raw sequencing data
- Review quality metrics before alignment
- Identify samples requiring additional QC
- Aggregate results with MultiQC for cohort overview
- Flag samples with quality issues
- Document QC decisions and thresholds
Dependencies
- FastQC
- MultiQC
- fastp
Process Integration
- Whole Genome Sequencing Pipeline (wgs-analysis-pipeline)
- RNA-seq Differential Expression Analysis (rnaseq-differential-expression)
- Long-Read Sequencing Analysis (long-read-analysis)
- Analysis Pipeline Validation (pipeline-validation)
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
fastqc-quality-analyzer- Source
- github.com/a5c-ai/babysitter