Nextflow Pipeline Executor Skill

SkillDev tools

Nextflow workflow management skill for reproducible bioinformatics pipelines

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Nextflow Pipeline Executor Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/bioinformatics/skills/nextflow-pipeline-executor/SKILL.md and read by ahel’s review.

Purpose

Provide Nextflow workflow management for reproducible bioinformatics pipelines.

Capabilities

  • DSL2 workflow execution
  • Container integration (Docker/Singularity)
  • Cloud execution (AWS, GCP, Azure)
  • Pipeline parameterization
  • Resume and caching
  • Execution reports and timelines

Usage Guidelines

  • Use DSL2 for modular pipelines
  • Containerize processes for reproducibility
  • Configure for target execution environment
  • Enable resume for fault tolerance
  • Generate execution reports
  • Document pipeline versions

Dependencies

  • Nextflow
  • nf-core
  • Snakemake

Process Integration

  • Reproducible Research Workflow (reproducible-research)
  • Analysis Pipeline Validation (pipeline-validation)
  • All analysis pipelines

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
nextflow-pipeline-executor
Source
github.com/a5c-ai/babysitter