fastqc-quality-analyzer
Sequencing quality control skill for assessing read quality, adapter contamination, and sequence composition
npx skills add a5c-ai/babysitter --skill fastqc-quality-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# FastQC Quality Analyzer Skill ## 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)
- Purpose
- Capabilities
- Usage Guidelines
- Dependencies
- Process Integration
What does the fastqc-quality-analyzer skill do?
Sequencing quality control skill for assessing read quality, adapter contamination, and sequence composition
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill fastqc-quality-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.