deployment-automation
Automate application deployment to cloud platforms and servers. Use when setting up CI/CD pipelines, deploying to Docker/Kubernetes, or configuring cloud infrastructure. Handles GitHub Actions, Docker, Kubernetes, AWS, Vercel, and deployment best practices.
85
82%
Does it follow best practices?
Impact
92%
1.43xAverage score across 3 eval scenarios
Passed
No known issues
Quality
Discovery
100%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 is a strong skill description that clearly defines its deployment automation purpose, includes explicit 'Use when' guidance with specific scenarios, and covers a comprehensive range of relevant technologies and trigger terms. The description uses proper third-person voice and provides enough specificity to distinguish it from other skills while remaining concise.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'setting up CI/CD pipelines', 'deploying to Docker/Kubernetes', 'configuring cloud infrastructure', and names specific technologies (GitHub Actions, Docker, Kubernetes, AWS, Vercel). | 3 / 3 |
Completeness | Clearly answers both what ('Automate application deployment to cloud platforms and servers', 'Handles GitHub Actions, Docker, Kubernetes...') AND when ('Use when setting up CI/CD pipelines, deploying to Docker/Kubernetes, or configuring cloud infrastructure'). | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'deployment', 'CI/CD', 'Docker', 'Kubernetes', 'AWS', 'Vercel', 'cloud infrastructure', 'GitHub Actions'. These are all terms users naturally use when discussing deployment tasks. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche focused on deployment and DevOps with distinct triggers (CI/CD, Docker, Kubernetes, cloud infrastructure). Unlikely to conflict with general coding or document skills due to specific deployment-focused terminology. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a highly actionable deployment skill with excellent, production-ready code examples covering Docker, GitHub Actions, Kubernetes, and Vercel. However, it's overly long for a single SKILL.md file and would benefit from better progressive disclosure. The workflow could be strengthened with explicit validation checkpoints between deployment stages.
Suggestions
Add explicit validation checkpoints between major steps (e.g., 'Verify Docker image builds successfully before proceeding to Step 2')
Split detailed configurations (Kubernetes manifests, GitHub Actions workflows) into separate reference files, keeping SKILL.md as a concise overview with links
Remove placeholder example sections at the end or populate them with meaningful content
Remove the 'When to use this skill' section - Claude can infer appropriate usage contexts
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is comprehensive but includes some unnecessary verbosity, such as the 'When to use this skill' section that Claude can infer, and placeholder example sections at the end. The code examples are valuable but the overall document could be tightened. | 2 / 3 |
Actionability | Excellent executable code throughout - complete Dockerfiles, GitHub Actions workflows, Kubernetes manifests, and bash scripts that are copy-paste ready. All examples include specific commands and configurations. | 3 / 3 |
Workflow Clarity | Steps are numbered and sequenced (Steps 1-5), but validation checkpoints are inconsistent. The blue-green deployment includes health checks, but the main workflow lacks explicit 'validate before proceeding' gates between major steps like building and deploying. | 2 / 3 |
Progressive Disclosure | The document is quite long (~350 lines) with all content inline. References to external docs exist but the skill itself could benefit from splitting detailed Kubernetes configs or deployment strategies into separate files, with SKILL.md serving as an overview. | 2 / 3 |
Total | 9 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
skill_md_line_count | SKILL.md is long (557 lines); consider splitting into references/ and linking | Warning |
metadata_version | 'metadata.version' is missing | Warning |
Total | 9 / 11 Passed | |
- Repository
- supercent-io/skills-template
- Commit
c033769
- Reviewed
Table of Contents
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