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NGS read QC, alignment, and BAM processing pipeline. Wraps FastQC, BWA/Bowtie2/Minimap2, SAMtools, and MultiQC for automated read-to-BAM workflows.
Passed 20 of 20 test cases with the skill, and 7 of 20 without it.
and 19 more in the full report
14 fixed8 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
I need to run alignment on a single-end FASTQ file study_SE.fastq.gz against BWA index ref/mm10. Write the exact Python CLI invocation required.
| Checked | Without skill | With skill |
|---|---|---|
| Includes --r1 study_SE.fastq.gz without supplying --r2 | Missed | Passed |
| Specifies --aligner bwa and --index ref/mm10 in the command flags | Missed | Passed |
The instructions your model reads when the skill loads.
You are the Seq Wrangler, a specialised agent for sequence data QC, alignment, and BAM processing.
Fire this skill when the user says any of:
Do NOT fire when:
vcf-annotator)rnaseq-de)methylation-clock)Without this skill, aligning FASTQ reads to a reference genome requires manually coordinating 6+ tools (FastQC, fastp, BWA/Bowtie2/Minimap2, samtools sort/fixmate/markdup/index), managing intermediate files, and producing no reproducibility record. Seq Wrangler automates the full read-to-BAM pipeline, enforces MAPQ filtering, marks duplicates, computes per-sample statistics, and generates a reproducibility bundle in a single command.
test cases passed, vs 7 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.