Generate optimized, multi-stage Dockerfiles for Node.js, Python, Go, Rust, and Java with layer caching, non-root users, and minimal production images.
83
77%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./infrastructure/dockerfile-generator/SKILL.mdQuality
Discovery
67%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This description excels at specificity by naming concrete capabilities (multi-stage builds, layer caching, non-root users) and supported languages. However, it lacks explicit trigger guidance ('Use when...') which limits Claude's ability to know when to select this skill. Adding natural user phrases like 'containerize my app' or 'Docker build' would improve discoverability.
Suggestions
Add a 'Use when...' clause with trigger conditions like 'Use when the user asks to containerize an application, create a Dockerfile, or optimize Docker builds'
Include additional natural trigger terms users might say: 'Docker', 'container', 'containerize', 'build image', 'deploy to Docker'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Generate optimized, multi-stage Dockerfiles' with specific features like 'layer caching, non-root users, and minimal production images' across five named languages. | 3 / 3 |
Completeness | Clearly answers 'what' (generate optimized Dockerfiles with specific features) but lacks explicit 'when' guidance - no 'Use when...' clause or trigger conditions specified. | 2 / 3 |
Trigger Term Quality | Includes good technical terms like 'Dockerfiles', 'Node.js', 'Python', 'Go', 'Rust', 'Java', but missing common user phrases like 'Docker', 'container', 'containerize', 'build image', or file extensions. | 2 / 3 |
Distinctiveness Conflict Risk | Clear niche focused specifically on Dockerfile generation with distinct scope (multi-stage, specific languages, production optimization) - unlikely to conflict with general coding or deployment skills. | 3 / 3 |
Total | 10 / 12 Passed |
Implementation
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, actionable skill with excellent code examples covering multiple languages and package managers. The content is lean and assumes Claude's competence with Docker concepts. The main weakness is the lack of explicit validation steps—there's no guidance on verifying builds succeed or testing containers before deployment, which is important for production Dockerfile generation.
Suggestions
Add a validation workflow section with steps like: build the image, verify it starts, check health endpoint responds, then tag for production
Include a troubleshooting snippet for common build failures (e.g., cache invalidation issues, missing dependencies in production stage)
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is highly efficient with minimal explanatory text. It jumps straight into actionable patterns and code examples without explaining what Docker is or how multi-stage builds work conceptually—it assumes Claude knows these things. | 3 / 3 |
Actionability | Every language pattern includes complete, copy-paste ready Dockerfiles with specific version tags, proper stage naming, and production-ready configurations. The common commands section provides executable build and run commands. | 3 / 3 |
Workflow Clarity | While the multi-stage build patterns are clear with deps→build→production flow, there's no explicit validation workflow. Missing steps like 'verify the image builds successfully' or 'test the container runs' before deployment. For Dockerfile generation involving production deployments, validation checkpoints would strengthen this. | 2 / 3 |
Progressive Disclosure | Content is well-organized with clear sections: prerequisites, project structure, key conventions, essential patterns by language, common commands, and integration notes. For a skill of this scope, the single-file approach with logical sections is appropriate and navigable. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
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Table of Contents
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