customerio-deploy-pipeline
Deploy Customer.io integrations to production cloud platforms. Use when deploying to Cloud Run, Vercel, AWS Lambda, or Kubernetes with proper secrets management and health checks. Trigger: "deploy customer.io", "customer.io cloud run", "customer.io kubernetes", "customer.io lambda", "customer.io vercel".
84
82%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
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 scope (deploying Customer.io integrations), specifies the target platforms (Cloud Run, Vercel, AWS Lambda, Kubernetes), mentions key concerns (secrets management, health checks), and provides explicit trigger terms. It follows the recommended pattern with a 'Use when' clause and enumerated triggers, making it easy for Claude to select appropriately.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions and platforms: deploying to Cloud Run, Vercel, AWS Lambda, Kubernetes, with proper secrets management and health checks. These are concrete, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both 'what' (deploy Customer.io integrations to production cloud platforms with secrets management and health checks) and 'when' (explicit 'Use when' clause specifying platforms, plus explicit trigger terms). | 3 / 3 |
Trigger Term Quality | Includes explicit trigger terms that users would naturally say: 'deploy customer.io', 'customer.io cloud run', 'customer.io kubernetes', 'customer.io lambda', 'customer.io vercel'. These cover the natural variations of how users would phrase deployment requests for this specific integration. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive due to the specific combination of Customer.io + deployment platforms. The trigger terms are narrowly scoped to Customer.io deployments, making it very unlikely to conflict with generic deployment skills or generic Customer.io skills. | 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.
The skill provides highly actionable, production-ready code examples for deploying Customer.io integrations across multiple cloud platforms. Its main weakness is that it's a monolithic document covering four distinct deployment targets that would benefit from being split into separate files, and it lacks explicit validation/rollback steps for most deployment paths despite involving destructive production operations.
Suggestions
Split platform-specific deployment configs into separate files (e.g., deploy-cloud-run.md, deploy-k8s.md, deploy-vercel.md) and use SKILL.md as a concise overview with links to each.
Add explicit post-deployment validation steps after each platform deploy (e.g., 'curl the health endpoint and verify 200 before proceeding') and include a concrete rollback command/procedure since the checklist mentions it but no instructions exist.
Remove boilerplate that Claude can generate (e.g., standard K8s Service definition, basic Vercel request validation) and focus on Customer.io-specific configuration details.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is quite long (~250 lines) covering four deployment targets plus blue-green deployment. While the code examples are useful, covering all platforms in one file is verbose—Claude doesn't need full boilerplate K8s manifests or complete GitHub Actions workflows spelled out. Some of this could be split into separate files per platform. | 2 / 3 |
Actionability | Every section provides fully executable, copy-paste-ready code: complete GitHub Actions workflow YAML, TypeScript health check endpoint, Vercel serverless function, Kubernetes manifests, and a blue-green deployment bash script. All are concrete and specific with real commands and configurations. | 3 / 3 |
Workflow Clarity | Steps are numbered and sequenced, and the blue-green deployment includes a health check validation gate before traffic shifting. However, there's no explicit validation/verification after the initial Cloud Run deploy (Step 1), no rollback instructions despite mentioning them in the checklist, and the steps feel more like independent recipes than a cohesive workflow with feedback loops. | 2 / 3 |
Progressive Disclosure | The skill references other skills (customerio-ci-integration, customerio-webhooks-events) and external docs, which is good. However, the content is monolithic—all four deployment targets are inline in one large file when they could be split into separate platform-specific files with the SKILL.md serving as an overview with links. | 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 |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
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