Design, organize, and manage Helm charts for templating and packaging Kubernetes applications with reusable configurations. Use when creating Helm charts, packaging Kubernetes applications, or implementing templated deployments.
79
70%
Does it follow best practices?
Impact
97%
1.03xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./tests/ext_conformance/artifacts/agents-wshobson/kubernetes-operations/skills/helm-chart-scaffolding/SKILL.mdQuality
Discovery
89%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 solid skill description that clearly identifies its domain (Helm charts for Kubernetes) and includes an explicit 'Use when' clause with relevant trigger terms. The main weakness is that the capability actions could be more concrete—listing specific operations rather than high-level verbs like 'design, organize, and manage'. Overall it performs well for skill selection purposes.
Suggestions
Replace generic verbs like 'design, organize, and manage' with more concrete actions such as 'create Chart.yaml and values.yaml files, write Go templates, manage chart dependencies, and configure chart repositories'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Helm charts, Kubernetes) and some actions (design, organize, manage, templating, packaging), but the actions are somewhat generic and not as concrete as listing specific operations like 'create Chart.yaml, define values.yaml defaults, write template helpers, manage dependencies'. | 2 / 3 |
Completeness | Clearly answers both 'what' (design, organize, manage Helm charts for templating and packaging Kubernetes applications) and 'when' with an explicit 'Use when' clause covering creating Helm charts, packaging Kubernetes applications, or implementing templated deployments. | 3 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'Helm charts', 'Kubernetes applications', 'templated deployments', 'packaging', 'reusable configurations'. These are terms a user working with Helm would naturally use in their request. | 3 / 3 |
Distinctiveness Conflict Risk | Helm charts and Kubernetes templating is a clear niche. The triggers are specific enough (Helm, charts, templated deployments) that this would not easily conflict with general Kubernetes skills or generic deployment skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is comprehensive and highly actionable with excellent executable examples covering the full Helm chart lifecycle. However, it is significantly too verbose — it explains concepts Claude already knows (what Helm is, standard chart structure), includes excessive boilerplate, and inlines content that should be in referenced files. The workflow is well-sequenced but lacks integrated validation checkpoints between steps.
Suggestions
Remove the 'Helm Overview' section entirely and trim 'When to Use This Skill' — Claude knows what Helm is and when to use it.
Move the full values.yaml example, helper templates, and common patterns into separate referenced files to reduce the main skill to an overview with key patterns only.
Integrate validation checkpoints into the workflow steps (e.g., 'After editing templates, run `helm lint` before proceeding') rather than having validation as a separate late step.
Cut redundant examples — e.g., the dependency configuration appears in both Chart.yaml (Step 2) and Step 6; the values.yaml content is shown in both Step 3 and Step 9 with overlap.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is extremely verbose at ~350+ lines. It explains what Helm is (Claude already knows), includes unnecessary sections like 'When to Use This Skill' with 6 bullet points, a full 'Helm Overview' section explaining basic concepts, and extensive boilerplate that Claude would already know (standard chart structure, common Go template patterns, basic helm commands). Much of this could be cut by 60-70%. | 1 / 3 |
Actionability | The skill provides fully executable, copy-paste ready code throughout — real bash commands, complete YAML templates with proper Go templating syntax, working Chart.yaml, values.yaml, deployment templates, helper templates, hooks, and tests. All examples are concrete and directly usable. | 3 / 3 |
Workflow Clarity | The 10-step workflow is clearly sequenced and includes a validation step (Step 7) with lint, dry-run, and template rendering commands. However, validation is presented as a separate late step rather than integrated as checkpoints throughout the workflow — there's no explicit feedback loop like 'if lint fails, fix and re-lint before proceeding to packaging.' The validation script is good but disconnected from the main flow. | 2 / 3 |
Progressive Disclosure | The skill references external files (assets/Chart.yaml.template, assets/values.yaml.template, scripts/validate-chart.sh, references/chart-structure.md) which is good structure, but no bundle files are provided so these references are broken. Additionally, the main file is monolithic — the extensive values.yaml examples, full helper templates, and common patterns sections should be in separate referenced files rather than inline. | 2 / 3 |
Total | 8 / 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 |
|---|---|---|
skill_md_line_count | SKILL.md is long (567 lines); consider splitting into references/ and linking | Warning |
Total | 10 / 11 Passed | |
b09ec7f
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.