nextflow-pipelines-5a-check-genome-availability
Sub-skill of nextflow-pipelines: 5a. Check genome availability (+2).
Best use case
nextflow-pipelines-5a-check-genome-availability is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of nextflow-pipelines: 5a. Check genome availability (+2).
Teams using nextflow-pipelines-5a-check-genome-availability should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/5a-check-genome-availability/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How nextflow-pipelines-5a-check-genome-availability Compares
| Feature / Agent | nextflow-pipelines-5a-check-genome-availability | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of nextflow-pipelines: 5a. Check genome availability (+2).
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 5a. Check genome availability (+2)
## 5a. Check genome availability
```bash
python scripts/manage_genomes.py check <genome>
# If not installed:
python scripts/manage_genomes.py download <genome>
```
Common genomes: GRCh38 (human), GRCh37 (legacy), GRCm39 (mouse), R64-1-1 (yeast), BDGP6 (fly)
## 5b. Decision points
**DECISION POINT: Confirm with user:**
1. **Genome:** Which reference to use
2. **Pipeline-specific options:**
- **rnaseq:** aligner (star_salmon recommended, hisat2 for low memory)
- **sarek:** tools (haplotypecaller for germline, mutect2 for somatic)
- **atacseq:** read_length (50, 75, 100, or 150)
## 5c. Run pipeline
```bash
nextflow run nf-core/<pipeline> \
-r <version> \
-profile docker \
--input samplesheet.csv \
--outdir results \
--genome <genome> \
-resume
```
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