FreeSkills
Commits, branches and sync with the but CLI
- 361361 downloads
- 198198 likes
- 103103 saves
Works with
- Claude Code
- Codex
- Cursor
- and 3 more
Slim down and harden a Dockerfile v1.0.0
Use this resource to slim, speed up and harden a Dockerfile with multi-stage builds
New
- 447 downloads
- 127 likes
- 169 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install dockerfile-size-optimizerWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent optimizes a Dockerfile for a smaller image, faster builds and better layer caching. It proposes multi-stage builds, suitable base images and security hardening, with per-language recommendations. You get a revised Dockerfile with an explanation.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md: base image choice and size comparison
- SKILL.md: multi-stage builds and recommendations for Node, Python, Go, Rust and Java
Good fit for
- Your Docker image is too heavy and slow to build
- The container runs as root and you want to harden it
Not for
Tags
- docker
- image
- build
- security
About
You say
“Optimize this Node Dockerfile: multi-stage build, non-root user and dependency layer caching.”
Skill published by patricio0312rev under the MIT license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to slim, speed up and harden a Dockerfile with multi-stage builds
- Review and adjust the result
Content preview
Files
- LICENSE1.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- SKILL.md14.3 KB
Origin and licence
Listed unmodified
- Author
- patricio0312rev
- Source
- github.com/patricio0312rev/skills/tree/79ea6af485698b31060b63f0066f712560757b29/ci-cd/dockerfile-optimizer
- Licence
- MIT
Notice
« dockerfile-optimizer » (patricio0312rev, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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