containerizing-applications
Containerizes applications with Docker, docker-compose, and Helm charts.Use when creating Dockerfiles, docker-compose configurations, or Helm charts for Kubernetes.Includes Docker Hardened Images (95% fewer CVEs), multi-stage builds, and 15+ battle-tested gotchas.
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Installation for Agentic Skill
View all platforms →skilz install mjunaidca/mjs-agent-skills/containerizing-applicationsskilz install mjunaidca/mjs-agent-skills/containerizing-applications --agent opencodeskilz install mjunaidca/mjs-agent-skills/containerizing-applications --agent codexskilz install mjunaidca/mjs-agent-skills/containerizing-applications --agent geminiFirst time? Install Skilz: pip install skilz
Works with 22+ AI coding assistants
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/mjunaidca/mjs-agent-skillscp -r mjs-agent-skills/.claude/skills/containerizing-applications ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Repository
- mjs-agent-skills
- Stars
- 1
- Forks
- 2
- Type
- Technical
- Meta-Domain
- cloud infrastructure
- Primary Domain
- kubernetes
- Market Score
- 17
Agent Skill Grade
A Score: 94/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Missing TOC in production-security.md
- Examples lack input/output pairs
Recommendations
- Add trigger phrases to description for discoverability
- Add table of contents for files over 100 lines
Graded: 2026-01-24
Developer Feedback
I've been digging through containerization skills lately, and your approach to progressive disclosure here is really solid—you're not dumping Docker concepts on people all at once, which is refreshing to see.
Links:
The TL;DR
You're at 94/100, solid A territory. This is based on Anthropic's best practices for skill design. Your strongest area is Utility (19/20)—those 15 battle-tested gotchas from production experience are genuinely useful. Weakest spot is Spec Compliance (12/15), mainly because you're only hitting 1-2 trigger phrases when you could be more discoverable.
What's Working Well
- The gotchas section hits different. You're solving real problems developers actually face (IPv6 healthcheck issues, layer caching gotchas, BuildKit secrets). This isn't theoretical—it's practical experience baked in.
- Your utility scoring is earned. The skill addresses actual containerization gaps with verification scripts and scanning commands built in. People will reach for this when they're stuck.
- Progressive disclosure is clean. SKILL.md gives the quick start, then
production-security.mdgoes deeper for security patterns without overwhelming the main entry point. That's the right architecture. - Token efficiency is tight. Dense, purposeful content with no fluff. Every example serves a clear purpose instead of padding the skill out.
The Big One
Your trigger phrases are too narrow. You're only listing "Docker, Helm, docker-compose" in the description—that's 1-2 triggers. You could add phrases like "Dockerfile optimization", "container security", "registry setup", "multi-stage builds", "healthcheck configuration". This directly impacts discoverability wh...
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