A professional-grade auditing tool for Docker Compose files that identifies security risks, performance bottlenecks, and production-readiness gaps.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install docker-compose-optimizer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install docker-compose-optimizer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Docker Compose Optimizer?
Docker Compose Optimizer is a specialized utility within the Openclaw Skills ecosystem designed to bridge the gap between local development and robust production container orchestration. It performs deep static analysis of your YAML configurations to ensure services are resilient, secure, and resource-efficient. By evaluating everything from image tagging strategies to complex network isolation, it provides actionable insights to stabilize your microservices architecture.
This skill is essential for developers and DevOps engineers who want to automate the validation of their infrastructure-as-code. It goes beyond simple syntax checking to enforce industry best practices like health check dependencies, secret management, and resource constraints, ensuring your Openclaw Skills workflow produces high-quality, deployable containers.
Docker Compose Optimizer Use Cases
- Validating Docker Compose files for production readiness before deployment.
- Identifying security vulnerabilities such as hardcoded secrets or excessive port exposure.
- Troubleshooting service startup races by implementing proper health check dependencies.
- Optimizing resource allocation to prevent OOM (Out of Memory) kills in shared environments.
- Transitioning from monolithic compose files to environment-specific overrides for dev and prod.
How Docker Compose Optimizer Works
- The skill scans the local directory to locate docker-compose.yml, docker-compose.yaml, or compose.yml files.
- It performs a Service Audit to check for image pinning, restart policies, and environment variable security.
- The networking layer is analyzed to recommend custom networks over the default bridge for better service isolation.
- Volume configurations are inspected to differentiate between persistent named volumes and development-centric bind mounts.
- Dependency logic is verified, ensuring depends_on uses health check conditions for reliable service sequencing.
- Resource limits (CPU/Memory) and logging drivers are evaluated to prevent host system exhaustion.
- A comprehensive report is generated, categorizing findings into Issues, Improvements, and Good Practices.
Docker Compose Optimizer Setup
To enable the Docker Compose Optimizer within your environment, ensure you have the Openclaw Skills framework installed and follow these steps:
# Navigate to your project containing Docker Compose files
cd /path/to/your/repo
# Run the optimizer via your AI agent
# The agent will automatically detect your compose files using:
cat docker-compose.yml 2>/dev/null || cat docker-compose.yaml
Docker Compose Optimizer Data Schema & Taxonomy
The skill organizes its analysis based on the standard Docker Compose V3+ specification, focusing on the following metadata taxonomy:
| Component | Metadata Tracked |
|---|---|
| Services | Image tags, build contexts, health checks, restart policies |
| Secrets | Detection of inline environment variables vs .env files |
| Resources | mem_limit, cpus, and logging configuration |
| Networks | Driver types, internal/external flags, and aliases |
| Volumes | Mount types (bind vs volume) and driver options |
Docker Compose Optimizer Advanced Features
- Profile-based service selection for complex environments using Docker Compose Profiles.
- Automatic detection of missing .dockerignore files during build context analysis.
- Multi-stage build verification to ensure optimized image sizes.
- Support for custom Ulimits and logging drivers (max-size/max-file) for enterprise-grade logging.
- Integration with Openclaw Skills workflows for automated CI/CD infrastructure linting.
SKILL.md
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