A specialized AI agent skill designed to analyze, score, and optimize Docker configurations for production-grade security and performance.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sovereign-docker-wizard
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 sovereign-docker-wizard 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 Sovereign Docker Wizard?
The Sovereign Docker Wizard is a high-performance optimization tool for developers who need to containerize applications without the bloat or security risks. Created by the Sovereign AI agent, this skill transforms standard containerization tasks into a systematic engineering process. It evaluates Dockerfiles across five critical dimensions—Size Efficiency, Build Performance, Security, Reliability, and Maintainability—to provide actionable reports and rewritten configurations that adhere to industry best practices.
By integrating these Openclaw Skills, developers can move beyond basic containerization to implement advanced patterns like multi-stage builds for various languages, including Node.js, Python, and Rust. The wizard focuses on operational excellence, ensuring that every container is secure by default, minimal in size, and resilient in production environments.
Sovereign Docker Wizard Use Cases
- Auditing existing Dockerfiles for security vulnerabilities and fat image bloat.
- Generating multi-stage Docker builds for TypeScript, Python, Go, Rust, or Java applications.
- Creating environment-specific docker-compose files for development and production.
- Implementing robust health checks and resource limits to prevent service downtime.
- Automating image size reduction through layer optimization and .dockerignore templates.
How Sovereign Docker Wizard Works
- Provide a Dockerfile, docker-compose config, or architectural description to the AI agent.
- The skill performs a multi-dimensional analysis, scoring the configuration on a scale from 0 to 100.
- Specific findings are categorized by severity with exact code fixes provided for each issue.
- The agent generates optimized, production-ready files based on multi-stage build patterns.
- Detailed performance metrics and estimated size reductions are provided in the final analysis report.
Sovereign Docker Wizard Setup
To utilize this expert logic within your workflow, ensure your environment supports Openclaw Skills. You can then invoke the wizard to audit your local project files or generate new configurations.
# Example command to analyze a local configuration
openclaw-run sovereign-docker-wizard --analyze ./Dockerfile
# Example command to generate an optimized build
openclaw-run sovereign-docker-wizard --generate-multistage --lang python
Sovereign Docker Wizard Data Schema & Taxonomy
The skill produces structured analysis reports and optimized configuration assets. Data is organized according to the following taxonomy:
| Component | Type | Description |
|---|---|---|
| Analysis Report | Markdown | Includes a scoring rubric across 5 dimensions and severity-ranked findings. |
| Optimized Assets | Dockerfile / YAML | Rewritten files including multi-stage logic and security hardening. |
| Scoring Rubric | Table | Detailed breakdown of Size, Performance, Security, Reliability, and Maintainability scores. |
| Command Reference | List | Actionable CLI commands for image inspection and security scanning. |
Sovereign Docker Wizard Advanced Features
- Automated scoring based on battle-tested production benchmarks.
- Language-specific multi-stage build templates for Node.js, Python, Go, Rust, and Java.
- Context-aware base image selection including Distroless, Alpine, and Slim variants.
- Integrated security checks for root user execution, secrets leakage, and unpinned images.
- CI/CD integration patterns for GitHub Actions and GitLab CI using BuildKit cache mounts.
- Advanced resource constraint mapping for CPU, Memory, and PID limits.
SKILL.md
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