Agent skill · Workflow & Productivity

bio-workflows-metagenomics-pipeline

End-to-end metagenomics workflow from FASTQ to taxonomic and functional profiles. Covers Kraken2 classification, Bracken abundance estimation, and HUMAnN functional profiling. Use when profiling metagenomic samples.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill metagenomics-pipeline --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 9 KB
Bundled scripts: yes
Path: skills/bioskills/metagenomics-pipeline/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Version Compatibility Reference examples tested with: Bowtie2 2.5.3+, Bracken 2.9+, HUMAnN 3.8+, Kraken2 2.1+, MetaPhlAn 4.1+, fastp 0.23+, matplotlib 3.8+, pandas 2.2+, seaborn 0.13+ 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. # Metagenomics Pipeline **"Analyze my metagenomic samples from FASTQ to taxonomic and functional profiles"** → Orchestrate host depletion, Kraken2/Bracken taxonomic classification, MetaPhlAn profiling, HUMAnN3 functional analysis, and AMR gene detection. Complete workflow from metagenomic FASTQ to taxonomic and functional profiles. ## Workflow Overview ``` FASTQ files | v [1. QC & Host Removal] --> fastp + Bowtie2 | v [2. Taxonomic Classification] | +---> Kraken2 + Bracken (fast, database-dependent) | +---> MetaPhlAn (marker-based, standardized) | v [3. Functional Profiling] --> HUMAnN | v Taxonomic profiles + Pathway abu

What's inside
Steps it walks through
  1. Version Compatibility
  2. Workflow Overview
  3. Primary Path: Kraken2 + Bracken + HUMAnN
  4. Step 1: Quality Control and Host Removal
  5. Step 2A: Kraken2 Classification
  6. Step 2B: Bracken Abundance Estimation
  7. Step 2C: Alternative - MetaPhlAn Profiling
  8. Step 3: Functional Profiling with HUMAnN
  9. Visualization
  10. Parameter Recommendations
  11. Troubleshooting
  12. Complete Pipeline Script
  13. Related Skills
Ships with 2 files
  • examples/metagenomics_workflow.sh
  • usage-guide.md
Commands it runs
QC with fastp
for sample in sample1 sample2 sample3; do
fastp -i ${sample}_R1.fastq.gz -I ${sample}_R2.fastq.gz \
done
Remove host reads (human example)
bowtie2 -p 8 -x human_index \
Classify reads
kraken2 --db kraken2_db \
Estimate species abundance
bracken -d kraken2_db \
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About this skill
What does the bio-workflows-metagenomics-pipeline skill do?

End-to-end metagenomics workflow from FASTQ to taxonomic and functional profiles. Covers Kraken2 classification, Bracken abundance estimation, and HUMAnN functional profiling. Use when profiling metagenomic samples.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill metagenomics-pipeline --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 BioTender-max/awesome-bio-agent-skills, a repository with 135 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.

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