nextflow

Build, run, and debug Nextflow data pipelines and nf-core workflows end to end. Use whenever the user mentions Nextflow, nf-core, .nf files, nextflow.config, DSL2, processes/channels/operators, samplesheets, or wants to run a community pipeline (e.g. nf-core/rnaseq, nf-core/sarek), write or test a module/subworkflow with nf-test, configure executors/containers (Docker, Singularity/Apptainer, Conda, Wave), scale a workflow to HPC/SLURM or cloud (AWS Batch, Google Batch, Azure, Kubernetes), or debug a failed/-resume run. Make sure to use this skill for any reproducible scientific/bioinformatics workflow work even if the user does not say the word "Nextflow", and for authoring nf-core-compliant pipelines, modules, configs, and linting.

Quality

91%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

86%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A strong, well-structured skill body with executable examples, clear routing to real reference files, and useful best-practice habits. It is slightly long for a SKILL.md overview and could tighten its concept explanations and add an explicit failure-recovery loop for the run workflow.

Suggestions

Move or compress the 'Key ideas' and 'Core Concepts at a Glance' sections into references/language.md, keeping SKILL.md as a routing overview to improve token efficiency.

Add an explicit validate→fix→retry loop for failed pipeline runs (e.g. inspect `nextflow log`, fix config/inputs, re-run with `-resume`) to strengthen workflow_clarity for batch/destructive operations.

Dimension	Reasoning	Score
Conciseness	Efficient and well-organized with executable commands and tables rather than prose, but the Overview 'Key ideas' bullets and 'Core Concepts at a Glance' re-explain some domain concepts that could be trimmed or pushed into references.	4 / 5
Actionability	Copy-paste-ready commands throughout — a complete minimal SAYHELLO pipeline, exact `nextflow run` invocations with flags, and two dense CLI tables — covering the common run/develop/config cases concretely.	5 / 5
Workflow Clarity	The 'Two Modes of Work' table routes by goal and Quick Start gives numbered steps with a validation checkpoint ('Always smoke-test with the bundled test profile first'), but the main run path lacks an explicit validate→fix→retry feedback loop for failed runs.	4 / 5
Progressive Disclosure	A clear overview in SKILL.md points to seven well-signaled, one-level-deep references (language, configuration, containers, running-pipelines, nf-core-tools, developing, testing), all of which exist as real files, with content appropriately split and a routing table for navigation.	5 / 5
	Total	18 / 20 Passed

Description

96%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

An exceptionally specific, trigger-rich description that clearly states both what the skill does and when to use it, with strong natural-language keywords and file extensions. The only weakness is a slight over-broadening toward generic bioinformatics-workflow work that could collide with neighboring pipeline skills.

Suggestions

Tighten the 'even if the user does not say the word Nextflow' clause to name Nextflow-family signals (e.g. DSL2, processes/channels, .nf) rather than 'any reproducible scientific/bioinformatics workflow work', to reduce overlap with Snakemake/WDL skills.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'Build, run, and debug', 'write or test a module/subworkflow with nf-test', 'configure executors/containers', 'scale a workflow to HPC/SLURM or cloud', 'authoring nf-core-compliant pipelines, modules, configs, and linting' — giving comprehensive coverage of the skill's capabilities.	5 / 5
Completeness	Explicitly answers both 'what' ('Build, run, and debug Nextflow data pipelines and nf-core workflows end to end') and 'when' with a concrete 'Use whenever the user mentions...' trigger clause enumerating specific phrases.	5 / 5
Trigger Term Quality	Comprehensive natural terms including the product names, file extensions, and synonyms: 'Nextflow, nf-core, .nf files, nextflow.config, DSL2, processes/channels/operators, samplesheets', plus concrete pipeline names like 'nf-core/rnaseq, nf-core/sarek' and executor/container names.	5 / 5
Distinctiveness Conflict Risk	Mostly a clear niche (Nextflow/nf-core) with distinct triggers, but the clause 'use this skill for any reproducible scientific/bioinformatics workflow work even if the user does not say the word Nextflow' creates minor overlap risk with adjacent workflow tools (Snakemake, WDL).	4 / 5
	Total	19 / 20 Passed

Validation

100%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: K-Dense-AI/scientific-agent-skills
Path: skills/nextflow/SKILL.md
Commit: 1e5eeff

Reviewed: ~18 hours ago

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