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ark-controller-development

Guidance for developing the Ark Kubernetes operator. Use when modifying Go types, CRDs, controllers, or webhooks. Helps with CRD generation and Helm chart sync issues.

88

2.96x
Quality

Does it follow best practices?

Impact

80%

2.96x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

77%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is highly actionable with clear, validated workflows tailored to the project, though it carries some generic programming advice and keeps all content inline with no progressive disclosure structure.

Suggestions

Trim the 'Leverage Existing Code' and 'Avoid Magic Numbers' sections to project-specific reminders and drop the general-principle prose Claude already knows.

Consider moving the long worked Go examples into a reference file under references/ and linking to it from the body to enable one-level-deep progressive disclosure.

Condense the WWW-Authenticate worked example to a brief illustration rather than a full before/after code block.

DimensionReasoningScore

Conciseness

Mostly efficient and project-specific, but the 'Leverage Existing Code' and 'Avoid Magic Numbers' sections restate general programming principles Claude already knows (e.g. 'someone has already written it', 'Hand-rolled code drifts') and the worked Go examples are somewhat padded.

2 / 3

Actionability

The body is rich in copy-paste-ready commands (`make manifests`, `make lint-fix`, `chainsaw test --selector '!llm'`) plus concrete directory tables and executable Go adapter examples.

3 / 3

Workflow Clarity

Multi-step flows are explicitly sequenced with validation checkpoints — the lint-fix → lint → build → test chain and the final Completion Checklist provide clear feedback loops for error recovery.

3 / 3

Progressive Disclosure

The file is well-sectioned but monolithic at ~190 lines with no bundle files (references/scripts/assets absent) and no offloaded sub-references, so nothing is split for progressive discovery.

2 / 3

Total

10

/

12

Passed

Description

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.

A strong, concise description that names a specific domain, lists concrete capabilities, and includes an explicit 'Use when' trigger. It avoids fluff and is clearly distinguishable from other skills.

DimensionReasoningScore

Specificity

The description enumerates multiple concrete actions — 'modifying Go types, CRDs, controllers, or webhooks', 'CRD generation and Helm chart sync issues' — matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

It answers both 'what' ('Guidance for developing the Ark Kubernetes operator') and 'when' via an explicit 'Use when modifying Go types, CRDs, controllers, or webhooks' trigger clause.

3 / 3

Trigger Term Quality

Natural domain terms a user would say are well covered: 'Go types, CRDs, controllers, webhooks, CRD generation, Helm chart sync'. These are the exact terms a developer of this operator would voice when invoking the skill.

3 / 3

Distinctiveness Conflict Risk

The niche is tightly scoped to the single 'Ark Kubernetes operator' with CRD/Helm/controller/webhook triggers, making conflict with other skills very unlikely.

3 / 3

Total

12

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
mckinsey/agents-at-scale-ark
Reviewed

Table of Contents

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