Container Optimize
Docker/container optimization for size, layers, caching, and security
Install
$ agentstack add skill-manastalukdar-ai-devstudio-container-optimize ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-manastalukdar-ai-devstudio-container-optimize) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Container Optimization
I'll optimize your Docker containers and Dockerfiles for size reduction, faster builds, better layer caching, and improved security.
Arguments: $ARGUMENTS - Dockerfile path or specific optimization focus areas
Optimization Philosophy
- Multi-Stage Builds: Separate build and runtime dependencies
- Layer Caching: Optimize layer order for faster rebuilds
- Image Size: Minimize final image size
- Security: Scan for vulnerabilities in base images
- Best Practices: Follow Docker and container security standards
Token Optimization
Expected range: 400–2,000 tokens (initial), 200 tokens (cache hit)
Caching: Caches Dockerfile analysis in .claude/cache/container-optimize/dockerfiles.json for 7 days. Invalidated when Dockerfiles change.
Early exit: Returns immediately if all Dockerfiles are already optimally configured.
Patterns used: Grep-before-Read, early exit, template-based generation, caching
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: manastalukdar
- Source: manastalukdar/ai-devstudio
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.