BeClaude

claudecode-aidlc

New
1knpmGeneralMIT

Claude Code plugin that adds AWS AI-DLC slash commands and installs the awslabs AI-DLC rule bundle

First seen 6/15/2026

Summary

The claudecode-aidlc skill adds slash commands to Claude Code for working with AWS AI-DLC (Deep Learning Containers), enabling you to manage, deploy, and troubleshoot containers directly from your terminal.

  • It also installs the awslabs AI-DLC rule bundle, providing best-practice guidance and automated checks for container configurations, making it easier to integrate AI-DLC into your ML workflows.

Install & Usage

1
Create the skills directory
mkdir -p .claude/skills
2
Download the skill file

Add the configuration to .claude/skills/claudecode-aidlc.md

3
Invoke in Claude Code
/claudecode-aidlc

Use Cases

List available AWS AI-DLC images and their tags to choose the right container for your ML framework.
Pull and run a specific AI-DLC image locally for testing or development without leaving Claude Code.
Validate your Dockerfile or container configuration against AWS best practices using the AI-DLC rule bundle.
Generate a command to push a custom container to Amazon ECR using an AI-DLC base image.
Troubleshoot common AI-DLC startup errors by running diagnostic slash commands.
Update your project's container dependencies to the latest AI-DLC version with a single command.

Usage Examples

1

/claudecode-aidlc list-images --framework pytorch --version 2.0

2

/claudecode-aidlc validate --file Dockerfile

3

/claudecode-aidlc run --image pytorch-training:2.0.0-gpu-py311 --gpus all

View source on GitHub
pluginclaude-codeclaude-code-pluginaidlcai-dlcaws

Security Audits

LicensePassSourceWarnRepositoryPass

Frequently Asked Questions

What is claudecode-aidlc?

The claudecode-aidlc skill adds slash commands to Claude Code for working with AWS AI-DLC (Deep Learning Containers), enabling you to manage, deploy, and troubleshoot containers directly from your terminal. It also installs the awslabs AI-DLC rule bundle, providing best-practice guidance and automated checks for container configurations, making it easier to integrate AI-DLC into your ML workflows.

How to install claudecode-aidlc?

To install claudecode-aidlc: create the skills directory (mkdir -p .claude/skills), then add the config to .claude/skills/claudecode-aidlc.md. Finally, /claudecode-aidlc in Claude Code.

What is claudecode-aidlc best for?

claudecode-aidlc is a community categorized under General. It is designed for: plugin, claude-code, claude-code-plugin, aidlc, ai-dlc, aws.

What can I use claudecode-aidlc for?

claudecode-aidlc is useful for: List available AWS AI-DLC images and their tags to choose the right container for your ML framework.; Pull and run a specific AI-DLC image locally for testing or development without leaving Claude Code.; Validate your Dockerfile or container configuration against AWS best practices using the AI-DLC rule bundle.; Generate a command to push a custom container to Amazon ECR using an AI-DLC base image.; Troubleshoot common AI-DLC startup errors by running diagnostic slash commands.; Update your project's container dependencies to the latest AI-DLC version with a single command..