run-module

Run Nextflow Modules

Run modules from the Nextflow Registry natively using nextflow module commands. Everything is self-contained — no external tools or MCP needed. Modules are installed on-the-fly when run.

Modules are published under namespaces (e.g. nf-core/fastqc), and the nextflow module commands work with any of them.

Requires Nextflow 26.04 or later (for the nextflow module commands). Workflow modules require Nextflow 26.10 or later.

Process modules vs workflow modules

A module has a kind, reported as Kind: by nextflow module search and nextflow module view:

Kind	What it is	Example
Process	A single process wrapping one tool	nf-core/star/align
Workflow	A named workflow (subworkflow) that chains several modules; its dependencies are installed with it	nf-core/fastq_align_star (STAR + samtools sort/index/stats)

Both kinds are searched, viewed, run, and included the same way. The differences are covered in Finding Workflow Modules and Running Workflow Modules.

⛔ NEVER WRITE WRAPPER WORKFLOWS

If a module fails due to missing arguments or incorrect parameters:

❌ WRONG - Writing a wrapper workflow:

// NEVER DO THIS - even if the module fails!
include { FASTQC } from 'nf-core/fastqc'
workflow { FASTQC(Channel.fromPath('*.fq.gz')) }

✅ CORRECT - Use nextflow module view to get the correct parameters:

nextflow module view nf-core/fastqc

When a module run fails:

1. Run nextflow module view <module> to get the command template
2. Fix the arguments based on the template
3. Re-run with nextflow module run <module> ...

NEVER create a wrapper workflow as a "fix" for missing arguments.

Step 1: Search for the Module

Use nextflow module search with a natural language term — it performs similarity search on module name, description, and features:

nextflow module search "quality control"
nextflow module search "alignment"
nextflow module search "variant calling"
nextflow module search "BAM statistics"

Finding Workflow Modules

nextflow module search ranks workflow modules below process modules, so they rarely show up in its results. When the task spans several steps (e.g. "align with STAR then sort and index"), also query the registry API with the kind=Workflow filter:

curl -s "https://registry.nextflow.io/api/v1/modules?query=align%20reads%20STAR&kind=Workflow&limit=10" \
  | python3 -c 'import json,sys; [print(r["name"], "-", r["description"]) for r in json.load(sys.stdin)["results"]]'

URL-encode spaces in query as %20. Then inspect any match with nextflow module view.

Step 2: Get Module Info and Run Template

Once you've identified the module, get its detailed info and the command template:

nextflow module view nf-core/fastqc

This returns the module kind, description, inputs, parameters, and the exact run command template. Use this template as the basis for your run command.

For a workflow module, the inputs are the workflow's take: declarations (in call order) and the outputs are its emit: declarations.

Step 3: Substitute Template Values and Run

Replace placeholder values in the template with the user's concrete values (file paths, parameters), then execute. No explicit install is needed — modules are fetched on-the-fly:

nextflow module run nf-core/fastqc \
  --input "/path/to/sample.fq.gz" \
  --outdir results

Container Provisioning with Wave + Conda

Modules require containers for their underlying tools. Configure nextflow.config to use Wave + Conda so containers are provisioned on-the-fly from each module's conda packages:

wave.enabled = true
wave.strategy = 'conda,container'
docker.enabled = true

This avoids the need to manually build or pull container images — Wave provisions them from the module's declared conda dependencies.

Running Workflow Modules

A workflow module runs with the same nextflow module run command, with these differences:

• It must be typed. Only workflow modules with typed take: inputs can be run directly. Most nf-core workflow modules are untyped and fail with:

  Workflow `FASTQ_ALIGN_STAR` cannot be executed directly because it is not typed
  

  nextflow module view still prints a usage template for untyped workflow modules, so this error is the signal. The failed run has already installed the module and its dependencies under ./modules/. It is not a missing-argument problem and not a reason to write a wrapper workflow. When invoked from create-workflow Step 3, follow that skill's instruction (defer to its Step 4). Otherwise, stop and tell the user the workflow module cannot be run on its own, then offer:
  • running its constituent process modules one by one with nextflow module run. They are listed under requires.modules in ./modules/<namespace>/<name>/meta.yml, and any listed workflow module has its own nested meta.yml to expand. Or
  • using it inside a pipeline via the create-workflow skill.
• Channel inputs take a samplesheet. A Channel<...> input accepts a CSV, JSON, or YAML samplesheet path; each row becomes one channel item. A Value<...> input accepts a single value (e.g. a file path).
• Outputs are not published. Each emitted output is reported with its work directory path; nothing is copied to --outdir.

Commands Reference

Command	Description
nextflow module search <term>	Similarity search by name/description/feature
nextflow module view <name>	Detailed info about the module and how to run it
nextflow module run <name> [options]	Run a module (installed on-the-fly)
nextflow module list	List installed modules with their version and kind

Examples

Single-end FASTQ Quality Control

# 1. Search
nextflow module search "quality control"

# 2. Get the template
nextflow module view nf-core/fastqc

# 3. Run with concrete values
nextflow module run nf-core/fastqc \
  --input "data/sample.fq.gz" \
  --outdir results_fastqc

Paired-end Alignment

# 1. Search
nextflow module search "bwa alignment"

# 2. Get the template
nextflow module view nf-core/bwa/mem

# 3. Run with concrete values
nextflow module run nf-core/bwa/mem \
  --input "data/reads_1.fq.gz,data/reads_2.fq.gz" \
  --reference "data/genome.fa" \
  --outdir results_bwa

Complete Workflow: Search → Info → Run

1. Search for the module:

   nextflow module search "quality control for FASTQ"
   

2. Get info and run template:

   nextflow module view nf-core/fastqc
   

3. Substitute template placeholders with actual values from the user's data

4. Run the module:

   nextflow module run nf-core/fastqc \
     --input "data/sample.fq.gz" \
     --outdir results
   

5. Process output — Read the stdout, summarize key results, and suggest the logical next step to the user

Critical Rules

1. SEARCH FIRST — Always use nextflow module search to find the right module
2. GET THE TEMPLATE — Always run nextflow module view before running a module
3. SUBSTITUTE TEMPLATE VALUES — Replace all placeholders with concrete values from the user's data
4. NEVER write wrapper workflows — If a run fails, use nextflow module view to get correct args
5. NEVER guess parameters — Always get them from the info template
6. Expand wildcards first — Use ls data/*.fq then comma-separate results
7. Quote multi-file inputs — --input "file1,file2,file3"
8. Use absolute paths when possible
9. ALWAYS PROCESS STDOUT OUTPUT — After a successful run, present a summary and suggest the logical next step
10. CHECK THE KIND — nextflow module view reports Kind: Process or Kind: Workflow; for multi-step tasks, also look for workflow modules via the registry API kind=Workflow filter
11. UNTYPED WORKFLOW MODULES CANNOT RUN DIRECTLY — on "cannot be executed directly because it is not typed", stop and offer the alternatives in Running Workflow Modules; never write a wrapper workflow

When Module Run Fails

DO NOT write a wrapper workflow. Instead:

1. Run nextflow module view nf-core/<module>
2. Compare the template with your command to find discrepancies
3. Fix your nextflow module run command with correct arguments
4. Re-run the corrected command

Step 4: Process Run Output (MANDATORY)

The nextflow module run command prints its output to stdout. After a module run, you MUST:

1. Read the stdout output from the run command
2. Present a clear summary of the results to the user — highlight key metrics, status, and any warnings or errors
3. Infer the next step — Based on the output and the module that was run, suggest what the user might want to do next. Examples:
   • After fastqc: "Quality scores look good. Would you like to proceed to alignment with bwa/mem?"
   • After bwa/mem: "Alignment complete. Would you like to sort the BAM with samtools/sort or get stats with samtools/stats?"
   • After fastp: "Trimming done. Would you like to align the trimmed reads?"

Always frame next-step suggestions as questions to the user.

Only list or inspect output files in the work directory if the module or user specifically requires it — do not do this by default.