Dockerfile Optimizer
CheckedOptimizes Dockerfiles for smaller image sizes and faster builds, improving deployment efficiency and reducing storage costs.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add armanzeroeight/fastagent-plugins --skill dockerfile-optimizer -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
armanzeroeight
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned armanzeroeight/fastagent-plugins at 61b61a99e6.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 61b61a99e6
- Scanned
- 4 files, 1,340 lines
About this skill
What it does
The armanzeroeight-dockerfile-optimizer skill analyzes Dockerfiles and suggests improvements to reduce image size, build time, and overall efficiency. It identifies potential inefficiencies like unnecessary layers, inefficient commands (e.g., using RUN apt-get update && apt-get install -y ...), and opportunities for multi-stage builds. The goal is to create leaner, faster, and more secure Docker images.
When to use it
- Optimizing existing Dockerfiles: You have a Dockerfile that's producing large or slow-building images and want to improve its performance.
- Creating new Dockerfiles: You’re building a Docker image from scratch and want to ensure best practices are followed for efficiency.
- Reducing cloud costs: Smaller images consume less storage space and can lead to lower deployment costs in cloud environments.
- Improving build pipeline speed: Faster builds mean faster deployments and quicker iteration cycles.
Key capabilities
- Dockerfile analysis
- Image size reduction suggestions
- Build time optimization recommendations
- Inefficient command identification
- Multi-stage build suggestions
Example prompts
- "Analyze this Dockerfile: [Dockerfile content]"
- "Suggest improvements for my Dockerfile to reduce image size."
- "Can you optimize this Dockerfile for faster builds? [Dockerfile content]"
Tips & gotchas
The skill requires a valid Dockerfile as input. Complex or highly customized Dockerfiles might require manual review of the suggested changes, as automated optimization isn't always perfect.