Agent skill

bio-genome-assembly-short-read-assembly

De novo genome assembly from Illumina short reads using SPAdes. Covers bacterial, fungal, and small eukaryotic genome assembly, as well as metagenome and transcriptome assembly modes. Use when assembling genomes from Illumina reads.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill short-read-assembly --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/short-read-assembly/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: FastQC 0.12+, MEGAHIT 1.2+, SPAdes 3.15+ 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. # Short-Read Assembly **"Assemble a genome from Illumina reads"** → Build a de novo assembly from short paired-end reads using de Bruijn graph algorithms with multiple k-mer sizes. - CLI: `spades.py -1 R1.fq.gz -2 R2.fq.gz -o output` ## SPAdes Overview SPAdes (St. Petersburg genome Assembler) uses de Bruijn graph approach with multiple k-mer sizes for robust assembly. ### Installation ```bash conda install -c bioconda spades ``` ## Basic Usage ### Paired-End Assembly ```bash spades.py -1 R1.fastq.gz -2 R2.fastq.gz -o output_dir ``` ### Single-End Assembly ```bash spades.py -s reads.fastq.gz -o output_dir ``` ### With Unpaired Reads ```bash spades.py -1 R1.fastq.gz -2 R2.fastq.gz -s unpaired.fastq.gz -o output_dir ``` ## Assembly Modes ### Isolate Mode (Default for Bacteria) ```bash spade

What's inside
Steps it walks through
  1. Version Compatibility
  2. SPAdes Overview
  3. Installation
  4. Basic Usage
  5. Paired-End Assembly
  6. Single-End Assembly
  7. With Unpaired Reads
  8. Assembly Modes
  9. Isolate Mode (Default for Bacteria)
  10. Careful Mode
  11. Meta Mode (Metagenomes)
  12. RNA Mode (Transcriptomes)
  13. Plasmid Mode
  14. Key Options
Ships with 2 files
  • examples/bacterial_assembly.sh
  • usage-guide.md
Commands it runs
conda install -c bioconda spades
spades.py -1 R1.fastq.gz -2 R2.fastq.gz -o output_dir
spades.py -s reads.fastq.gz -o output_dir
spades.py -1 R1.fastq.gz -2 R2.fastq.gz -s unpaired.fastq.gz -o output_dir
spades.py --isolate -1 R1.fq.gz -2 R2.fq.gz -o isolate_assembly
spades.py --careful -1 R1.fq.gz -2 R2.fq.gz -o careful_assembly
spades.py --meta -1 R1.fq.gz -2 R2.fq.gz -o meta_assembly
spades.py --rna -1 R1.fq.gz -2 R2.fq.gz -o rna_assembly
spades.py --plasmid -1 R1.fq.gz -2 R2.fq.gz -o plasmid_assembly
spades.py \
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About this skill
What does the bio-genome-assembly-short-read-assembly skill do?

De novo genome assembly from Illumina short reads using SPAdes. Covers bacterial, fungal, and small eukaryotic genome assembly, as well as metagenome and transcriptome assembly modes. Use when assembling genomes from Illumina reads.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill short-read-assembly --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