"containers", "running", "list", "ps"?
WORKFLOW 1: Container Status
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Container Management
Docker container operations for AI agents — run, stop, inspect, exec, manage images, networks, and volumes with safety-first lifecycle management via native Docker socket.
What this skill teaches
A reusable playbook for a specific kind of work.
An MCP server tells an agent which actions are available. A skill adds the judgment around those actions: how to recognize the job, which sequence to follow, what to avoid, and how to decide that the result is complete.
Orchestrate Docker container operations — run, stop, inspect, exec, manage images, networks, volumes, and view logs. Use when managing Docker containers, pulling images, checking container health, viewing logs, executing commands inside containers, managing networks, or troubleshooting container issues.
Architecture
How Container Management guides an ADK-Rust agent.
The skill stays readable and portable because it contains instructions rather than service credentials or business data. ADK-Rust supplies it to the agent, the agent chooses from its reviewed tool boundary, and the connected MCP server performs the authenticated operation.
01
User request
The agent receives a goal expressed in ordinary language.
02
Container Management skill
Matches intent, supplies the decision guide, and narrows the tool boundary.
03
ADK-Rust agent
Plans the workflow and streams each meaningful step through the runtime.
04
mcp-containers
Executes authenticated operations against the system that owns the capability.
05
Verified result
The skill's completion rules shape the evidence returned to the user.
Decision guide
How the agent turns a request into the right action.
These routes come directly from the skill instructions. They help the model recognize intent and select a focused tool or workflow instead of improvising across the entire capability surface.
"logs", "output", "errors"?
WORKFLOW 2: Logs & Diagnostics
"run", "start", "deploy container"?
WORKFLOW 3: Run Container
"stop", "kill", "restart"?
WORKFLOW 4: Lifecycle Management
"exec", "shell", "command inside"?
WORKFLOW 5: Execute Inside
"images", "pull", "build"?
WORKFLOW 6: Image Management
"network", "connect", "DNS"?
WORKFLOW 7: Networks
"volume", "storage", "mount"?
WORKFLOW 8: Volumes
Proven workflows
Repeatable sequences for useful outcomes.
A workflow joins several tool calls into a task the user actually recognizes. The skill explains the sequence and the intended result while ADK-Rust streams the agent's progress through the shared runtime.
011-3 calls
Container Status
List + stats + inspect
022-4 calls
Logs & Diagnostics
Logs + processes + resources + filesystem
033-4 calls
Run Container
Pull → run → verify startup
042-3 calls
Lifecycle
Stop → remove (safe order)
051 calls
Execute Inside
Run commands in container
062-3 calls
Image Management
Pull, tag, inspect
Tool boundary
The skill may use 32 documented tools.
This allowlist is declared by the skill. It keeps the agent focused on the actions needed for this job while mcp-containers retains responsibility for authentication, validation, and the connected system.
list_containers
inspect_container
run_container
stop_container
kill_container
remove_container
restart_container
pause_container
unpause_container
rename_container
get_logs
exec_container
get_stats
get_top
get_changes
wait_container
update_container
list_images
pull_image
remove_image
inspect_image
tag_image
image_history
list_networks
create_network
remove_network
inspect_network
connect_network
list_volumes
create_volume
remove_volume
inspect_volume
Working rules
What the agent should do.
- Follow the decision guide, use the declared tool boundary, and verify the result before responding.
Operating boundaries
What the agent should avoid.
- Review the complete SKILL.md before enabling this skill for production work.
Install and connect
Add the skill beside the capability it expects.
Install the repository where your ADK-Rust skill loader can discover it, connect mcp-containers, and confirm the declared tools are available before asking the agent to use the workflow.
Install the skill
git clone https://github.com/zavora-ai/skill-container-management.git \
~/.skills/skills/container-managementADK-Rust loading shape
let skills = SkillLoader::from_dir("~/.skills/skills").await?;
let skill = skills.load("container-management").await?;
let agent = LlmAgentBuilder::new("agent")
.instruction(skill.instructions())
.tools(skill.allowed_tools(toolset)?)
.build()?;The repository's compatibility statement: Requires mcp-containers server connected (Docker socket).
Official documentation
Read the complete skill package.
The repository remains authoritative for its exact instructions, examples, helper scripts, assets, MCP requirements, license, and later updates.
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Source record
Repository metadata for this skill entry.
- License
- Apache-2.0
- Allowed tools
- 32
- References
- 3
- Revision
- a3ac96cc78d8
- Updated
- May 31, 2026