Agent skill · Workflow & Productivity

bio-workflows-genome-assembly-pipeline

End-to-end genome assembly workflow from reads to polished assembly with QC. Supports short reads (SPAdes), long reads (Flye), and hybrid approaches. Use when assembling genomes from raw reads.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill genome-assembly-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: 7 KB
Bundled scripts: yes
Path: skills/bioskills/genome-assembly-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: BUSCO 5.5+, BWA 0.7.17+, Flye 2.9+, QUAST 5.2+, SPAdes 3.15+, fastp 0.23+, samtools 1.19+ Before using code patterns, verify installed versions match. If versions differ: - 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. # Genome Assembly Pipeline **"Assemble and polish a genome from my sequencing reads"** → Orchestrate read QC, assembly (hifiasm, Flye, SPAdes), polishing (Medaka, Pilon), scaffolding, contamination detection (BlobToolKit), and quality assessment (QUAST, BUSCO). Complete workflow from sequencing reads to polished, quality-assessed genome assembly. ## Workflow Overview ``` Reads (short and/or long) | v [1. QC & Filtering] -----> fastp, NanoPlot | v [2. Assembly] -----------> SPAdes (short) or Flye (long) | v [3. Polishing] ----------> Pilon (short) or medaka (long) | v [4. QC Assessment] ------> QUAST, BUSCO | v Final polished assembly ``` ## Path A: Short-Read Assembly (SPAdes) ### Step 1: QC ```bash fastp -i reads_R1.fastq.gz -I reads_R2.f

What's inside
Steps it walks through
  1. Version Compatibility
  2. Workflow Overview
  3. Path A: Short-Read Assembly (SPAdes)
  4. Step 1: QC
  5. Step 2: Assembly with SPAdes
  6. Step 3: Polishing with Pilon
  7. Path B: Long-Read Assembly (Flye)
  8. Step 2: Assembly with Flye
  9. Step 3: Polishing with medaka
  10. Path C: Hybrid Assembly
  11. Step 4: Quality Assessment
  12. QUAST
  13. BUSCO
  14. Parameter Recommendations
Ships with 2 files
  • examples/bacterial_assembly.sh
  • usage-guide.md
Commands it runs
fastp -i reads_R1.fastq.gz -I reads_R2.fastq.gz \
Standard bacterial assembly
spades.py \
For isolate genomes
spades.py --isolate \
Align reads to assembly
bwa index spades_output/scaffolds.fasta
bwa mem -t 16 spades_output/scaffolds.fasta \
trimmed_R1.fq.gz trimmed_R2.fq.gz | \
samtools sort -@ 4 -o aligned.bam
More from awesome-bio-agent-skills
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About this skill
What does the bio-workflows-genome-assembly-pipeline skill do?

End-to-end genome assembly workflow from reads to polished assembly with QC. Supports short reads (SPAdes), long reads (Flye), and hybrid approaches. Use when assembling genomes from raw reads.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill genome-assembly-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.

Keep going