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- Docker Ops Playbook
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Docker Ops Playbook
Manage Docker day to day: containers, images, volumes, networks and Compose stacks — lifecycle operations, logs, exec, cleanup, health checks, resource limits,
$5
Docker Ops Playbook
Example session with this skill installed
I need to backup the 'db_data' volume to my current directory and then clear out all unused Docker images to save space.
- Read your context and instructions
- Compiled the docker ops playbook
- Backing up volume: docker run --rm -v db_data:/data -v $(pwd):/backup alpine tar czf /backup/db_data.tgz -C /data .
- Checking disk usage: docker system df
- Pruning images: docker image prune -af
- Verification: ls -lh db_data.tgz
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Managing Docker containers manually often leads to forgotten volumes, orphaned networks, and disk space exhaustion. Developers frequently struggle with the exact syntax for backup/restore operations and resource limit enforcement during runtime.
What it does
- Executes standard lifecycle operations for containers, images, volumes, and networks.
- Performs safe disk space reclamation by pruning builder caches and unused images.
- Handles volume data backups and restores using temporary helper containers.
- Manages Docker Compose stacks including service-specific logs and teardowns.
- Implements runtime resource constraints for memory, CPU, and PID limits.
Frameworks & tools
Docker Engine, Docker Compose, and Linux/Unix shell environments.
Why this beats prompting it yourself
This skill enforces a specific operational sequence, starting with inventory checks to prevent accidental overrides. It uses hardened defaults like restart policies and specific logging flags that are often missed in generic AI prompts.
Use cases
- Debugging a failing service by attaching an interactive shell and tailing logs.
- Reclaiming gigabytes of disk space by safely pruning the Docker subsystem.
- Moving data between volumes via tarball backups for maintenance windows.
- Deploying containers with strict resource limits to prevent memory leaks from crashing the host.
Known limitations
Does not support Kubernetes orchestration or daemon-level security hardening. Not intended for authoring complex Dockerfiles from scratch.
Not for Kubernetes or daemon security hardening. Focuses on runtime operations rather than image build design.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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