nextflow – DevOps & Infrastructure skill for AI agents
Builds, runs, and debugs Nextflow DSL2 pipelines and nf-core workflows. Use for Nextflow, nf-core, .nf files, nextflow.config, processes/channels/operators, samplesheets, nf-test, modules/subworkflows, container and executor configuration, HPC/SLURM or cloud deployment, and failed or resumed pipeline runs.
Install the nextflow skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/nextflow-89ff8.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /nextflow – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/nextflow-89ff8.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $nextflow – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/nextflow-89ff8.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /nextflow – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/nextflow-89ff8.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /nextflow – then describe the task you want done.
SKILL.md content
Nextflow
Overview
Nextflow is a workflow language and runtime for building reproducible, portable, scalable data pipelines. It is dominant in bioinformatics but works for any data-heavy computation. nf-core is a community curating production-grade Nextflow pipelines, reusable modules, and the nf-core tooling on top of Nextflow.
Key ideas:
- Dataflow programming: pipelines are
processtasks connected by channels. Nextflow infers execution order and parallelism from data dependencies — there is no explicit scheduler to write. - Write once, run anywhere: the same pipeline runs locally, on HPC (SLURM, SGE, LSF, PBS), and on cloud (AWS Batch, Google Batch, Azure Batch, Kubernetes) by changing config/profiles, not code.
- Reproducibility: pinned software environments and pipeline revisions, immutable inputs/references, recorded parameters and seeds.
-resumeis a computational cache, not scientific validation. Conda is an environment manager; Wave resolves/builds images rather than executing them. - DSL2 is the modern, required syntax: modular
process/workflow/includedefinitions.
This skill covers both running existing pipelines and developing your own (Nextflow language + nf-core conventions, testing with nf-test, configuration, and deployment).
When to Use This Skill
Use this skill when the user wants to:
- Run an nf-core or custom Nextflow pipeline, or debug a failing/resuming run.
- Write or modify
.nfscripts,nextflow.config, profiles, ornextflow_schema.json. - Author or test nf-core-style modules/subworkflows (
main.nf,meta.yml,tests/, nf-test). - Configure executors, containers, or resources; scale to HPC or cloud.
- Implement a scientific workflow in Nextflow or adapt an existing nf-core pipeline.
- Understand processes, channels, operators,
take/emit,publishDir,ext.args, meta maps.
Setup
This review targets stable Nextflow 26.04.6, nf-core tools 4.1.0, and nf-test 0.9.5. Nextflow needs Bash 3.2+ and Java 17–26; verify java -version (a launcher on PATH does not prove a runtime is installed). The strict parser is the default in 26.04. See [release notes](https://github.com/nextflow-io/nextflow/releases/tag/v26.04.6) and the [26.04 migration guide](https://docs.seqera.io/nextflow/migrations/26-04). Stable and edge documentation can differ; do not use a preview feature without its version/flag.
# Install Nextflow (self-installing launcher)
export NXF_VER=26.04.6
curl -fsSL https://get.nextflow.io -o install-nextflow.sh
# Review the installer before executing it.
bash < install-nextflow.sh
mkdir -p "$HOME/.local/bin"
mv nextflow "$HOME/.local/bin/"
export PATH="$HOME/.local/bin:$PATH"
nextflow info # verify
# Alternative (illustrative; confirm package availability and Java compatibility)
conda create -n nf -c conda-forge -c bioconda nextflow=26.04.6 nf-core=4.1.0# nf-core tools (Python) for creating/linting/running nf-core assets
uv tool install "nf-core==4.1.0"
nf-core --versionPin the engine for reproducibility: export NXF_VER=26.04.6; check the selected pipeline release’s engine constraint before upgrading. Use edge only for a required, explicitly tested feature. For air-gapped/HPC, see references/running-pipelines.md (offline mode) and references/configuration.md.
Two Modes of Work
Decide which path the user is on — it changes everything:
| Goal | Start here |
|------|-----------|
| Run an existing pipeline (nf-core or a .nf you were given) | references/running-pipelines.md |
| Develop a new pipeline / module / subworkflow | references/language.md + references/developing.md |
| Configure / scale (HPC, cloud, containers, resources) | references/configuration.md + references/containers.md |
| Test modules/pipelines | references/testing.md |
Quick Start
Run an nf-core pipeline
Use the selected release’s small test profile first after checking its resource/download requirements. A passing smoke test verifies that configuration and fixture, not scientific accuracy or full-scale capacity. The following RNA-seq examples are illustrative; no biological pipeline or containers were run in this review.
# 1. Confirm setup works (downloads pipeline + tiny test data)
nextflow run nf-core/rnaseq -r 3.27.0 -profile test,docker --outdir test_results
# 2. Real run: pin a revision (-r), pick a container engine, pass inputs
nextflow run nf-core/rnaseq -r 3.27.0 \
-profile docker \
--input samplesheet.csv \
--fasta reference.fa --gtf annotation.gtf \
--outdir results \
-resume-profile(single dash) selects bundled config profiles; combine them comma-separated, e.g.test,docker. Choose one execution environment profile (docker,singularity, orconda); a site/executor profile can be combined with it when compatible.--input,--genome,--outdir(double dash) are pipeline parameters. Many nf-core pipelines take a samplesheet CSV; use the selected pipeline release’s input schema.-resumereuses cached results from the last run.-r <version>pins a release for reproducibility.
Use nf-core pipelines launch <name> for an interactive, schema-validated way to build the command and a -params-file. See references/running-pipelines.md.
Write a minimal pipeline
This fixed-input example was executed with Nextflow 26.04.6, including -resume. Do not interpolate unvalidated sample IDs or arbitrary text into shell commands.
#!/usr/bin/env nextflow
process SAYHELLO {
tag "$greeting"
publishDir "results", mode: 'copy'
input:
val greeting
output:
path "${greeting}.txt", emit: message
script:
"""
echo '$greeting world' > ${greeting}.txt
"""
}
workflow {
channel.of('hello', 'bonjour', 'hola') | SAYHELLO
}nextflow run main.nf # add -resume on rerunsThe full language (processes, channels, operators, DSL2 workflows with take/main/emit, modules) is in references/language.md.
Core Concepts at a Glance
- Process: a unit of work that runs a script (Bash by default). Declares
input:,output:, directives (resources, container,publishDir,tag,errorStrategy), and ascript:orexec:block (shell:is deprecated). Each task runs in its own isolated work directory (work/xx/yy…). - Channel: the async queues that connect processes. Queue channels are streams that DSL2 broadcasts to each downstream consumer; value channels hold a single reusable value. Within one process invocation, combine one queue input with reusable values, or join keyed streams into one tuple channel first. Created with factories like
channel.of,channel.fromPath,channel.fromFilePairs,channel.value. - Operator: transforms/combines channels —
map,filter,collect,groupTuple,join,combine,mix,flatten,branch,multiMap,splitCsv,view,set. - Workflow: composes processes. DSL2 workflows can declare
take:(inputs),main:(logic),emit:(named outputs) and beincluded as subworkflows. The unnamedworkflow {}is the entry point. - Module: a
.nffile exposing processes/workflows viainclude { NAME } from './path'(supportsasaliasing). - Configuration:
nextflow.configsetsparams,processdirectives,executor, container engines, and namedprofiles. SelectorswithName:/withLabel:target specific processes. Seereferences/configuration.md. - meta map (nf-core): the convention of carrying a metadata map (
[ id:'sample1', single_end:false ]) alongside files in input/output tuples so samples stay labeled through the pipeline. Seereferences/developing.md.
nf-core tools CLI
nf-core tools 4.1.0 groups subcommands under pipelines, modules, and subworkflows. Removed bare forms such as nf-core lint now fail; use nf-core pipelines lint.
| Command | Purpose |
|---------|---------|
| nf-core pipelines list | List/search nf-core pipelines (--json, keywords) |
| nf-core pipelines create | Scaffold a new pipeline from the nf-core template |
| nf-core pipelines launch <name> | Interactive, schema-driven run command + params file |
| nf-core pipelines download <name> | Download pipeline + containers for offline/HPC use |
| nf-core pipelines lint | Lint a pipeline against nf-core standards (run in repo root) |
| nf-core pipelines schema build | Build/edit nextflow_schema.json via web GUI |
| nf-core pipelines create-params-file <name> | Generate a documented YAML params file |
| nf-core pipelines bump-version / sync | Bump version / sync with template updates |
| nf-core modules list/info/install/update/remove | Manage modules from nf-core/modules |
| nf-core modules create / lint / test | Author, lint, and nf-test a module |
| nf-core modules patch / `bump-versio
… (full content is in the download package)
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