FastQC Quality Analyzer Skill

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Sequencing quality control skill for assessing read quality, adapter contamination, and sequence composition

Use FastQC Quality Analyzer Skill in Claude, ChatGPT or Ahel Desktop

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Then ask your AI: use the FastQC Quality Analyzer Skill

Details

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.

No other account needed.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

FastQC Quality Analyzer SkillStart free

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: 113
Last commit: Sep 2026

Advanced

Item type: skill
Key: fastqc-quality-analyzer
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter