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.

Quality

88%

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Advisory

Suggest reviewing before use

Quality

Content

77%

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

This is a solid, actionable Kubernetes skill with excellent concrete examples and a clear validation workflow. Its main weakness is moderate verbosity — the MUST/MUST NOT lists and inline comments restate knowledge Claude already has, and the lengthy YAML examples could be partially offloaded to reference files. The progressive disclosure structure is well-designed in concept but unsupported by actual bundle files.

Suggestions

Trim the MUST DO/MUST NOT DO lists to only non-obvious or project-specific constraints, since Claude already knows standard Kubernetes security best practices.

Move the full YAML examples (Deployment, RBAC, NetworkPolicy) into a referenced file like `references/patterns.md` and keep only a minimal example inline to reduce the main file's token footprint.

Dimension	Reasoning	Score
Conciseness	The skill is reasonably well-structured but includes some content that Claude already knows (e.g., the MUST DO/MUST NOT DO lists largely restate Kubernetes best practices that are common knowledge). The YAML examples are thorough but lengthy — the inline comments explaining obvious things like '# never use latest' and '# pull credentials from Secret, not ConfigMap' add marginal value. The reference table is efficient, but overall the document could be tightened.	2 / 3
Actionability	The skill provides fully executable, copy-paste-ready YAML manifests for Deployments, RBAC, and NetworkPolicies, plus concrete kubectl commands for validation and troubleshooting. The examples are complete and production-realistic with proper apiVersions, metadata, and specs.	3 / 3
Workflow Clarity	The core workflow is clearly sequenced (analyze → design → implement → secure → validate) with explicit validation commands and a rollback step. The validation section provides concrete commands for checking rollout status, inspecting pods, checking logs of crashed containers, and rolling back — forming a clear feedback loop for error recovery.	3 / 3
Progressive Disclosure	The reference table is well-structured with clear 'Load When' guidance, pointing to 11 separate reference files. However, no bundle files were provided, so none of these references actually exist. Additionally, the main SKILL.md itself is quite long with substantial inline YAML examples that could arguably live in reference files, while the overview could be leaner.	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.

This is a strong skill description that thoroughly covers the Kubernetes domain with specific, actionable capabilities and explicit trigger guidance. It uses proper third-person voice throughout and includes a rich set of natural trigger terms that users would actually say. The description is comprehensive without being padded, covering both operational tasks (debugging, log inspection) and configuration tasks (manifests, RBAC, Helm charts).

Dimension	Reasoning	Score
Specificity	Lists multiple specific 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, right-size workloads, plus additional areas like Helm charts, RBAC, NetworkPolicies, storage, GitOps pipelines, and multi-cluster management.	3 / 3
Completeness	Clearly answers both 'what' (create manifests, configure policies, debug pods, analyze resources, etc.) and 'when' with explicit trigger guidance ('Use when deploying or managing Kubernetes workloads. Invoke to...' and 'Use for...'). The 'Use when' clause is present and explicit.	3 / 3
Trigger Term Quality	Excellent coverage of natural terms users would say: Kubernetes, deployment manifests, pod security, service accounts, network isolation, pod crashes, container logs, Helm charts, RBAC, NetworkPolicies, GitOps, multi-cluster. These are all terms a user would naturally use when seeking Kubernetes help.	3 / 3
Distinctiveness Conflict Risk	Highly distinctive with a clear niche in Kubernetes/container orchestration. The specific mentions of Kubernetes-native concepts like pods, Helm charts, RBAC, NetworkPolicies, and multi-cluster management make it very unlikely to conflict with other skills such as general Docker, CI/CD, or cloud infrastructure skills.	3 / 3
	Total	12 / 12 Passed

Validation

100%

Warnings & errors only

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

Validation — 11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository: Jeffallan/claude-skills
Commit: e8be415

Reviewed: 4 days ago

Table of Contents

Discovery Implementation Validation

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