docker-env-manager

Name: docker-env-manager
Availability: InStock
Author: CUHK-AIM-Group

Plan and execute Docker container operations for NeuroClaw workflows via claw-shell.

78|3|Updated Mar 25, 2026

Search Tags:#automation #safety #orchestration #docker #gpu #container #neuroclaw

Ready to run

npx skills add https://github.com/CUHK-AIM-Group/NeuroClaw --skill docker-env-manager

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: docker-env-manager
Source: https://github.com/CUHK-AIM-Group/NeuroClaw/tree/main/skills/docker-env-manager
Command: npx skills add https://github.com/CUHK-AIM-Group/NeuroClaw --skill docker-env-manager

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates and gates Docker-related operations for NeuroClaw workflows, ensuring safe container usage, GPU readiness, and centralized logging.

Core Features & Use Cases

Gatekeeper: all docker commands are planned and confirmed via claw-shell before execution.
Safety-first: checks GPU availability, NVIDIA toolkit presence, resource estimates, and introduces dry-run previews.
Reproducibility: encourages docker-compose usage, named containers, and produces auditable plans with logs.
Use Case: when preparing containerized models like wmh-segmentation, this skill ensures proper isolation and safety on GPU hardware.

Quick Start

Plan Docker operations on your NeuroClaw project by requesting a dry-run preview first.

Frequently Asked Questions about docker-env-manager

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I safely run Docker containers with GPU acceleration?▼

Safely running Docker containers with GPU acceleration requires checking NVIDIA toolkit availability and enforcing a strict planning gate before execution. This approach routes all commands through a centralized shell for logging and produces an auditable plan.

What is a dry-run preview for Docker container operations?▼

A dry-run preview for Docker container operations is a safety-first mechanism that generates an auditable plan and checks resource estimates before any actual execution occurs. It allows you to review pulling, running, or building actions safely.

How do I manage Docker compose workflows for GPU-ready environments?▼

Managing Docker compose workflows for GPU-ready environments involves orchestrating container operations with named containers and centralized logging. This ensures reproducibility and proper isolation when preparing containerized models on GPU hardware.

Do I need an NVIDIA toolkit to orchestrate Docker containers on GPU hardware?▼

Yes, you need the NVIDIA toolkit to orchestrate Docker containers on GPU hardware. The orchestration process actively checks for GPU availability and the NVIDIA toolkit presence to ensure proper isolation and safety before executing any commands.

Why does my Docker container pruning lack an auditable plan?▼

Docker container pruning lacks an auditable plan when commands are not routed through a centralized shell with strict planning gates. Enforcing a safety-first approach with centralized logging ensures all pruning operations are recorded and reviewed before execution.

Can I use Docker compose for reproducible containerized model workflows?▼

Yes, you can use Docker compose for reproducible containerized model workflows. It encourages named containers and produces auditable plans with centralized logs, ensuring proper isolation and safety when running containerized models on GPU hardware.