Inspect containers, logs, and images via podman
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install docker-ctlOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install docker-ctlβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/docker-ctl/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Docker Ctl can do for your AI workflow
Inspect containers, logs, directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 3,619+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Docker Ctl
Help me get started with Docker Ctl
Explains what Docker Ctl does, walks through the setup, and runs a quick demo based on your current project
Use Docker Ctl to inspect containers, logs, and images via podman
Invokes Docker Ctl with the right parameters and returns the result directly in the conversation
What can I do with Docker Ctl in my developer & devops workflow?
Lists the top use cases for Docker Ctl, with example commands for each scenario
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Docker Ctl extends your AI assistant with the ability to inspect containers, logs, and images via podman. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Docker Ctl as its underlying capability.
Docker Ctl works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Docker Ctl once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with Docker Ctl takes about two minutes. Place the skill at `~/.claude/skills/docker-ctl/` (personal, all projects) or `.claude/skills/docker-ctl/` (project-specific), then restart your AI client. From that point, typing `/docker-ctl` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Docker Ctl has been installed 3,619 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/docker-ctl/ for personal use (all projects), or .claude/skills/docker-ctl/ for project-specific use. Restart your AI client, then invoke with /docker-ctl or let the AI discover it automatically.
Docker Ctl supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Docker Ctl is free to install. Check the repository for licensing information.
Inspect containers, logs, and images via podman
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Identifies repetitive steps in your workflow and sets up Docker Ctl to handle them automatically
Docker Ctl is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.