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kubernetes-operations

Kubernetes operations including manifests, Helm charts, operators, troubleshooting, and resource management

60

Quality

68%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./skills/kubernetes-operations/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

80%

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

The content is a strong, executable Kubernetes operations quick-reference: lean, concrete, and copy-paste-ready. Its main gaps are the absence of validation feedback loops for destructive operations and a monolithic single-file structure that could offload detailed manifests to reference files.

Suggestions

Add a brief deployment workflow with an explicit validation checkpoint, e.g. "kubectl apply -f deploy.yaml" → "kubectl rollout status deployment/api-server" → on failure rollback and re-check.

Move full canonical manifests and the troubleshooting command catalog into reference files (e.g. references/manifests.md, references/troubleshooting.md) and keep SKILL.md as a concise overview pointing to them.

Add a short "Prerequisites/Verification" note so destructive operations like scaling or applying manifests include a verify-then-proceed loop.

DimensionReasoningScore

Conciseness

The body is lean and efficient: it presents manifests and commands directly without explaining Kubernetes/Pod/Deployment concepts Claude already knows, and the few prose lines (e.g. "Always set resource requests and limits") are useful guidance rather than padding.

3 / 3

Actionability

It provides fully executable, copy-paste-ready YAML manifests (Deployment, HPA, values.yaml) and concrete kubectl commands with realistic flags and clearly marked placeholders, matching anchor 3.

3 / 3

Workflow Clarity

The content is well organized by topic and includes a checklist, but it is a reference catalog rather than a sequenced workflow and lacks explicit apply→verify→rollback feedback loops for the destructive/batch operations (kubectl apply, scaling, deployment changes) the rubric flags, capping it at 2.

2 / 3

Progressive Disclosure

The ~180-line file is well sectioned with no nested references, but it keeps full manifests and recipe blocks inline that could be split into reference files for a cleaner overview, matching anchor 2's "content that should be separate is inline".

2 / 3

Total

10

/

12

Passed

Description

57%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description names a distinct Kubernetes niche with several natural trigger terms but stops short of explicit "when to use" guidance and concrete action verbs. Adding a "Use when..." clause and more natural keyword variations (kubectl, k8s, pods, deployments) would lift it from good to strong.

Suggestions

Append an explicit trigger clause, e.g. "Use when working with Kubernetes clusters, deploying Helm charts, writing manifests, or troubleshooting pods and deployments."

Add natural keyword variations users actually say ("kubectl", "k8s", "pods", "deployments", "kubectl apply") to improve trigger-term coverage.

Reframe capability areas as concrete actions (e.g., "write and validate manifests", "package and install Helm charts", "scale and autoscale workloads") to raise specificity.

DimensionReasoningScore

Specificity

The description names the Kubernetes domain and several concrete capability areas ("manifests, Helm charts, operators, troubleshooting, and resource management") but mostly uses noun-phrases rather than specific concrete actions, matching anchor 2 rather than the verb-rich anchor 3.

2 / 3

Completeness

It clearly states what the skill does but provides no "Use when..." clause or equivalent explicit trigger guidance; per the rubric guidelines, a missing explicit trigger caps completeness at 2.

2 / 3

Trigger Term Quality

It includes natural terms users would say ("Kubernetes", "Helm charts", "operators", "troubleshooting") but omits common variations like "kubectl", "k8s", "pods", and "deployments", so it lands at anchor 2 rather than full anchor 3 coverage.

2 / 3

Distinctiveness Conflict Risk

The triggers (Kubernetes, Helm charts, operators) form a clear, distinct niche unlikely to conflict with other skills, matching anchor 3; the broad "operations" framing is not enough to pull it down to 2.

3 / 3

Total

9

/

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
rohitg00/awesome-claude-code-toolkit
Reviewed

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