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kubernetes-specialist

Use when deploying or managing Kubernetes workloads. Invoke to create deployment manifests, configure pod security policies, set up service accounts, define network isolation rules, debug pod crashes, analyze resource limits, inspect container logs, or right-size workloads. Use for Helm charts, RBAC policies, NetworkPolicies, storage configuration, performance optimization, GitOps pipelines, and multi-cluster management.

73

Quality

92%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

92%Weight 40%Scale 1-5

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

The skill body is well-structured and highly actionable: a sequenced workflow with validation and rollback, complete executable manifests for the core patterns, crisp MUST DO/MUST NOT constraints, and a clean reference table that correctly routes to 11 existing detail files. Its only flaw is minor duplication of validation commands between the workflow and its own section.

DimensionReasoningScore

Conciseness

The body never explains concepts Claude already knows (no 'what is Kubernetes' padding) and uses terse constraint lists, but validation commands appear twice — in Core Workflow step 5 ('Run kubectl rollout status, kubectl get pods -w, and kubectl describe pod <name>... roll back with kubectl rollout undo') and again verbatim in the Validation Commands section. This is efficient content with minor instances that could be tightened, matching the score-4 anchor rather than the score-5 'every token earns its place' anchor.

4 / 5

Actionability

The three YAML patterns (Deployment with resources/probes/securityContext, minimal RBAC trio, default-deny NetworkPolicy) are complete and copy-paste ready with realistic values, and the kubectl commands include the specific flags practitioners need ('kubectl logs <pod-name> --previous', 'kubectl auth can-i --list --as=system:serviceaccount:my-namespace:my-app-sa'). This matches the anchor for fully executable, copy-paste-ready guidance covering the common cases.

5 / 5

Workflow Clarity

The Core Workflow sequences five steps from analysis through validation, with step 5 providing explicit validation commands and an error-recovery feedback loop ('roll back with kubectl rollout undo if needed'). This matches the anchor for a clear sequence with explicit validation steps and feedback loops for error recovery.

5 / 5

Progressive Disclosure

The body is a well-organized overview: a Reference Guide table maps each topic to an existing one-level-deep reference file with explicit 'Load When' conditions, and all 11 cited files (workloads.md, networking.md, configuration.md, storage.md, helm-charts.md, troubleshooting.md, custom-operators.md, service-mesh.md, gitops.md, cost-optimization.md, multi-cluster.md) exist in references/. Detail is appropriately split out while the most common patterns stay inline, matching the score-5 anchor for clear overview with well-signaled references and easy navigation.

5 / 5

Total

19

/

20

Passed

Description

88%Weight 40%Scale 1-5

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 description that explicitly states both capabilities and trigger conditions with a comprehensive list of concrete Kubernetes actions. The only weaknesses are missing common synonyms (K8s, kubectl) and a few generic tail terms that slightly blur distinctiveness against adjacent cloud/DevOps skills.

DimensionReasoningScore

Specificity

The description lists many concrete actions — 'create deployment manifests, configure pod security policies, set up service accounts, define network isolation rules, debug pod crashes, analyze resource limits, inspect container logs, or right-size workloads' — covering the Kubernetes domain comprehensively with no vague filler. This matches the anchor for multiple specific concrete actions with comprehensive coverage rather than the score-4 anchor, which expects minor gaps in coverage.

5 / 5

Completeness

It explicitly answers 'what' ('Invoke to create deployment manifests, configure pod security policies, ...') and 'when' twice with concrete triggers ('Use when deploying or managing Kubernetes workloads' and 'Use for Helm charts, RBAC policies, NetworkPolicies, storage configuration, performance optimization, GitOps pipelines, and multi-cluster management'). Both are explicit and concrete, matching the score-5 anchor; the score-4 anchor requires a 'when' that could be more explicit, which is not the case here.

5 / 5

Trigger Term Quality

Natural phrases like 'deploying or managing Kubernetes workloads', 'debug pod crashes', 'Helm charts', 'RBAC policies', 'NetworkPolicies', and 'GitOps pipelines' would be said by real users, but common synonyms and tooling terms users naturally utter — 'K8s', 'kubectl', 'pods', 'cluster' — are absent from the description. This fits the anchor for good keyword coverage with a few natural terms missing, and falls short of the comprehensive synonym/extension coverage of the score-5 anchor.

4 / 5

Distinctiveness Conflict Risk

The Kubernetes niche with distinct triggers (Helm charts, RBAC policies, NetworkPolicies) is clearly distinguishable, but tail phrases like 'performance optimization' and 'right-size workloads' create minor overlap risk with closely related cloud cost/DevOps skills. This matches the 'mostly distinct; minor overlap risk' anchor rather than the score-5 'minimal conflict risk' anchor.

4 / 5

Total

18

/

20

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

Jeffallan/claude-skills

Path

skills/kubernetes-specialist/SKILL.md

Reviewed

Table of Contents

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