Dockerfile Optimise

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by pproenca · vlatest · Repository

Optimizes Dockerfiles for smaller image sizes and faster builds, improving deployment efficiency and reducing storage costs.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add dockerfile-optimise npx -- -y @trustedskills/dockerfile-optimise
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "dockerfile-optimise": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/dockerfile-optimise"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

The dockerfile-optimise skill analyzes Dockerfiles to identify inefficiencies and suggest improvements for build performance and image size. It automatically detects best practice violations, such as unnecessary layers or inefficient instructions, and provides actionable refactoring recommendations.

When to use it

  • Reducing the final size of production Docker images before deployment.
  • Accelerating CI/CD pipeline builds by minimizing Docker layer count.
  • Auditing legacy Dockerfiles for security vulnerabilities and maintenance issues.
  • Standardizing multi-stage build patterns across a project's containerization strategy.

Key capabilities

  • Parses existing Dockerfile syntax to understand the build context.
  • Identifies redundant instructions that create unnecessary image layers.
  • Suggests optimizations for ordering commands to leverage Docker layer caching effectively.
  • Recommends multi-stage build configurations to separate build tools from runtime dependencies.

Example prompts

  • "Analyze my Dockerfile and list all opportunities to reduce the final image size."
  • "Refactor this Dockerfile to use multi-stage builds for a Node.js application."
  • "Identify any security risks or best practice violations in this container definition."

Tips & gotchas

Ensure your source Dockerfile is complete and includes all necessary context, as missing instructions may lead to incomplete optimization suggestions. While the tool provides strong recommendations, always manually review generated code before applying it to production environments to ensure compatibility with your specific runtime requirements.

Tags

🛡️

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Details

Version
vlatest
License
Author
pproenca
Installs
32

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Passed automated security scans.