Agent skill
bio-reporting-automated-qc-reports
Install this agent skill to your Project
npx add-skill https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-reporting-automated-qc-reports
SKILL.md
name: bio-reporting-automated-qc-reports description: 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. tool_type: cli primary_tool: multiqc measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools:
- read_file
- run_shell_command
Automated QC Reports with MultiQC
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/')
Related Skills
- read-qc/quality-reports - Generate input FastQC reports
- read-qc/fastp-workflow - Preprocessing QC
- workflows/rnaseq-to-de - Full workflow with QC
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
vcf-annotator
Annotate VCF variants with VEP, ClinVar, gnomAD frequencies, and ancestry-aware context. Generates prioritised variant reports.
chemist-analyst
Analyzes events through chemistry lens using molecular structure, reaction mechanisms, thermodynamics, kinetics, and analytical techniques (spectroscopy, chromatography, mass spectrometry). Provides insights on chemical processes, material properties, reaction pathways, synthesis, and analytical methods. Use when: Chemical reactions, material analysis, synthesis planning, process optimization, environmental chemistry. Evaluates: Molecular structure, reaction mechanisms, yield, selectivity, safety, environmental impact.
bio-alignment-io
Read, write, and convert multiple sequence alignment files using Biopython Bio.AlignIO. Supports Clustal, PHYLIP, Stockholm, FASTA, Nexus, and other alignment formats for phylogenetics and conservation analysis. Use when reading, writing, or converting alignment file formats.
sleep-analyzer
分析睡眠数据、识别睡眠模式、评估睡眠质量,并提供个性化睡眠改善建议。支持与其他健康数据的关联分析。
metabolomics-workbench-database
Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.
bio-hi-c-analysis-matrix-operations
Balance, normalize, and transform Hi-C contact matrices using cooler and cooltools. Apply iterative correction (ICE), compute expected values, and generate observed/expected matrices. Use when normalizing or transforming Hi-C matrices.
Didn't find tool you were looking for?