singularity-container-manager

Singularity container management skill for HPC-compatible containerized execution

509 stars

Best use case

singularity-container-manager is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Singularity container management skill for HPC-compatible containerized execution

Teams using singularity-container-manager should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/singularity-container-manager/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/bioinformatics/skills/singularity-container-manager/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/singularity-container-manager/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How singularity-container-manager Compares

Feature / Agentsingularity-container-managerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Singularity container management skill for HPC-compatible containerized execution

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Singularity Container Manager Skill

## Purpose
Provide Singularity container management for HPC-compatible containerized execution.

## Capabilities
- Container building from recipes
- Registry pull and caching
- Bind mount configuration
- GPU passthrough
- MPI integration
- Security compliance for HPC

## Usage Guidelines
- Build containers from definition files
- Cache containers for repeated use
- Configure bind mounts appropriately
- Enable GPU for accelerated workloads
- Integrate with MPI for parallel computing
- Ensure HPC security compliance

## Dependencies
- Singularity/Apptainer
- Docker
- BioContainers

## Process Integration
- Reproducible Research Workflow (reproducible-research)
- All analysis pipelines

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