nextflow – skill DevOps & Hạ tầng cho agent AI
Xây dựng, chạy và gỡ lỗi pipeline Nextflow DSL2 và workflow nf-core. Dùng cho Nextflow, nf-core, file .nf, nextflow.config, process/channel/operator, samplesheet, nf-test, module/subworkflow, cấu hình container và executor, triển khai HPC/SLURM hoặc cloud, và các lần chạy pipeline bị lỗi hoặc resume.
Cài skill nextflow bằng một lệnh
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Nội dung SKILL.md
Nội dung SKILL.md gốc bằng tiếng Anh.
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
… (nội dung đầy đủ có trong gói tải về)
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