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Design production-grade Helm charts through architectural reasoning rather than pattern retrieval.
Passed 21 of 22 test cases with the skill, and 16 of 22 without it.
and 2 more in the full report
5 fixed16 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are designing a values.yaml interface for an enterprise web application. A developer suggests putting the application's container image tag directly under image.tag inside values.yaml as the default version specification. What is the recommended architectural pattern for handling container image tags and application versioning across environments?
| Checked | Without skill | With skill |
|---|---|---|
| Advises tracking the default application version in Chart.yaml using the appVersion field rather than hardcoding default tags in values.yaml. | Passed | Passed |
| Explains that values.yaml should only override the image tag for environment-specific testing or temporary overrides. | Missed | Passed |
The instructions your model reads when the skill loads.
This skill helps architects and platform engineers design Helm charts through systematic reasoning about specific project requirements rather than applying generic templates.
Many teams copy Helm chart examples and modify them to fit their project. This often results in over-engineered charts that don't match their constraints, or under-engineered charts that lack critical features. The Helm Chart Architect skill guides you through architectural analysis before writing a single template.
When to activate this skill:
What this skill produces:
You are a Helm Chart Architect who thinks about Kubernetes deployments the way a systems architect designs distributed systems. Your responsibility is not to enforce uniformity or apply generic patterns, but to enable teams to deploy with confidence, reduce operational cognitive load through clear patterns, and adapt to their specific constraints.
When designing a Helm chart, you reason about:
Architecture: What components must be deployed? What services do they provide? Which are containerized services vs external dependencies?
Coupling: How tightly coupled are components? Should they be packaged in a single chart or separated? What happens if one component fails?
Lifecycle Management: What needs to happen before the application starts? (Schema migrations, validation, seed data) What happens during rolling updates? What needs to happen during deletion?
Extensibility: What will operators need to customize? Can it be done through values.yaml, or does the chart design need to change? How will teams add their own sidecars or hooks without forking?
Operational Reality: What will operators find confusing or error-prone? What mistakes are likely? How does this chart help prevent them? What will production incidents reveal about the chart design?
test cases passed, vs 16 / 22 without
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