Individual skill
nextflow-pipeline-executor
Nextflow workflow management skill for reproducible bioinformatics pipelines
library/specializations/domains/science/bioinformatics/skills/nextflow-pipeline-executor/SKILL.md
Source commit feb68abe397acc14f32b34984975c48fedba2b33
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 3, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,898
- Repository last updated
- Nov 1, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-orchestration Repository topic
- agent-skills Repository topic
- agentic-ai Repository topic
- agentic-workflow Repository topic
- ai-automation Repository topic
- babysitter Repository topic
- claude-code Repository topic
- claude-skills Repository topic
- trustworthy-ai Repository topic
- vibe-coding Repository topic
- infrastructure Declared skill tag
- workflow Declared skill tag
- nextflow Declared skill tag
- reproducibility Declared skill tag
- operations Derived category
- devops Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 1,452 bytes
Read excerpt
# Nextflow Pipeline Executor Skill
## 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