container-images
Docker and OCI container image expertise for building, optimizing, and securing container images
Best use case
container-images is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Docker and OCI container image expertise for building, optimizing, and securing container images
Teams using container-images should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/container-images/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How container-images Compares
| Feature / Agent | container-images | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Docker and OCI container image expertise for building, optimizing, and securing container images
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Container Images Skill ## Overview Specialized skill for Docker and OCI container image development, optimization, and security. Provides expert capabilities for building production-ready container images. ## Capabilities ### Dockerfile Development - Analyze and optimize existing Dockerfiles - Create multi-stage build configurations - Implement build argument patterns - Design base image hierarchies - Handle platform-specific builds (multi-arch) ### Image Optimization - Minimize image layer count and size - Optimize layer caching strategies - Implement .dockerignore patterns - Remove unnecessary dependencies - Use distroless/minimal base images ### Security Scanning - Interpret vulnerability scan results (Trivy, Snyk, Grype) - Prioritize CVE remediation - Recommend secure base images - Implement image signing (Cosign, Notary) - Configure admission policies ### Registry Operations - Push, pull, and tag images - Configure registry authentication - Implement image retention policies - Handle multi-registry strategies - Manage image manifests and indexes ### Build Integration - Integrate with CI/CD pipelines - Configure build caching (BuildKit) - Implement remote builders - Handle secrets during builds - Set up automated builds ## Target Processes - `container-image-management.js` - Container image lifecycle - `security-scanning.js` - Image vulnerability scanning - `cicd-pipeline-setup.js` - Build pipeline configuration ## Usage Context This skill is invoked when processes require: - Creating optimized Dockerfiles - Reducing container image sizes - Addressing security vulnerabilities in images - Setting up container build pipelines - Managing container registries ## Dependencies - Docker CLI or compatible (Podman, nerdctl) - Container registry access - Vulnerability scanners (Trivy, Snyk) - BuildKit for advanced builds ## Output Formats - Dockerfile configurations - Build optimization reports - Vulnerability analysis reports - Registry operation logs - Multi-stage build templates
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user-install
Install the user-level Babysitter Codex setup.
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Install the team-pinned Babysitter Codex workspace setup.
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Resume an existing Babysitter run from Codex.
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Install the Babysitter Codex workspace integration into the current project.
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