mcpbeat

Bio Reporting Automated Qc Reports

biotender-max/bio-reporting-automated-qc-reports

Generates standardized quality control reports by aggregating metrics from FastQC, alignment, and other tools using MultiQC. Use when summarizing QC metrics across samples, creating shareable quality reports, or building automated QC pipelines.

2k tokens
context cost
the whole folder, loaded on every use
3
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
132
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/BioTender-max/awesome-bio-agent-skills --skill bio-reporting-automated-qc-reports

What comes with it

5 239 bytes besides the instruction
examples/multiqc_pipeline.sh
usage-guide.md

The instruction itself

8 sections, as written by the author

Version Compatibility

Reference examples tested with: Cell Ranger 8.0+, FastQC 0.12+, GATK 4.5+, HISAT2 2.2.1+, MultiQC 1.21+, STAR 2.7.11+, Subread 2.0+, bcftools 1.19+, fastp 0.23+, kallisto 0.50+

Before using code patterns, verify installed versions match. If versions differ:

  • Python: pip show <package> then help(module.function) to check signatures
  • CLI: <tool> --version then <tool> --help to confirm flags

If code throws ImportError, AttributeError, or TypeError, introspect the installed

package and adapt the example to match the actual API rather than retrying.

Automated QC Reports with MultiQC

"Aggregate QC results into one report" → Combine outputs from FastQC, samtools, Picard, and other tools into a single interactive HTML report.

  • CLI: multiqc . (scans current directory for recognized tool outputs)

Basic Usage

# Aggregate all QC outputs in directory
multiqc results/ -o qc_report/

# Specify output name
multiqc results/ -n my_project_qc

# Include specific tools only
multiqc results/ --module fastqc --module star

Supported Tools

MultiQC recognizes outputs from 100+ bioinformatics tools:

| Category | Tools |

|----------|-------|

| Read QC | FastQC, fastp, Cutadapt |

| Alignment | STAR, HISAT2, BWA, Bowtie2 |

| Quantification | featureCounts, Salmon, kallisto |

| Variant Calling | bcftools, GATK |

| Single-cell | CellRanger, STARsolo |

Configuration

Create multiqc_config.yaml:

title: "RNA-seq QC Report"
subtitle: "Project XYZ"
intro_text: "QC metrics for all samples"

# Custom sample name cleaning
extra_fn_clean_exts:
  - '.sorted'
  - '.dedup'

# Report sections to include
module_order:
  - fastqc
  - star
  - featurecounts

# Highlight samples
table_cond_formatting_rules:
  pct_mapped:
    fail: [{lt: 50}]
    warn: [{lt: 70}]

Custom Data

# Add custom data file
# File format: sample\tmetric1\tmetric2
multiqc results/ --data-format tsv --custom-data-file custom_metrics.tsv

Python API

from multiqc import run as multiqc_run

# Run programmatically
multiqc_run(analysis_dir='results/', outdir='qc_report/')
  • read-qc/quality-reports - Generate input FastQC reports
  • read-qc/fastp-workflow - Preprocessing QC
  • workflows/rnaseq-to-de - Full workflow with QC

How to use it

Copy the folder

Take biotender-max/bio-reporting-automated-qc-reports from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.