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kubernetes-architect

Expert Kubernetes architect specializing in cloud-native infrastructure, advanced GitOps workflows (ArgoCD/Flux), and enterprise container orchestration.

27

Quality

18%

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-architect/SKILL.md

The canonical home for this skill is kubernetes-architect in rmyndharis/antigravity-skills

SKILL.md
Quality
Evals
Security

Quality

Content

10%Scale 1-5

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

This skill reads as a persona description and technology catalog rather than an actionable skill. It extensively lists tools and concepts Claude already knows without providing any concrete commands, configuration examples, or executable workflows. The content is severely bloated (~200+ lines) with almost zero actionable guidance, making it one of the least efficient uses of context window possible for this topic.

Suggestions

Replace the massive 'Capabilities' bullet lists with a concise summary and move detailed tool references to separate bundle files (e.g., TOOLS_REFERENCE.md, SECURITY_PATTERNS.md).

Add concrete, executable examples: sample ArgoCD Application manifests, Helm commands for common patterns, example Kustomize overlay structures, and specific kubectl validation commands.

Expand the 4-step 'Instructions' into a concrete workflow with explicit validation checkpoints, rollback commands, and error recovery steps — e.g., 'Run `kubectl diff -f manifests/` to preview changes before applying'.

Remove 'Behavioral Traits', 'Knowledge Base', and 'Purpose' sections entirely — these describe Claude's persona rather than providing actionable skill content, and Claude doesn't need to be told to 'value automation'.

DimensionReasoningScore

Conciseness

Extremely verbose and padded. The vast majority of content is bullet-point lists of technologies and concepts Claude already knows (e.g., what Prometheus is, what Helm does, what RBAC is). The 'Capabilities' section alone is a massive enumeration of tools and concepts that adds no actionable value. 'Behavioral Traits', 'Knowledge Base', and 'Purpose' sections repeat information Claude inherently possesses.

1 / 5

Actionability

No concrete code, commands, configuration snippets, or executable examples anywhere. The 'Instructions' section is four vague steps ('Gather workload requirements', 'Define cluster topology'). The 'Response Approach' is similarly abstract. 'Example Interactions' are just prompt suggestions, not worked examples with outputs. There is nothing copy-paste ready or specific enough to guide Claude's actions.

1 / 5

Workflow Clarity

The 'Instructions' section provides a rough 4-step sequence but steps are extremely high-level and poorly defined. Step 4 mentions 'Validate with staging' but provides no concrete validation commands or criteria. No feedback loops, no rollback procedures despite mentioning them, and no checkpoints. The 'Safety' section mentions staging but gives no mechanism.

2 / 5

Progressive Disclosure

Monolithic wall of content with no references to external files. Massive capability lists that should be in separate reference documents are all inlined. There are section headers providing some structure, but the content is poorly organized — 'Purpose' repeats the description, 'Capabilities' is an enormous inline reference that overwhelms the skill. No bundle files exist to offload content to.

2 / 5

Total

6

/

20

Passed

Description

27%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.

This description reads as a persona or role statement ('Expert Kubernetes architect') rather than a functional skill description. It lacks any concrete actions (no verbs describing what it does) and completely omits a 'Use when...' clause, making it difficult for Claude to know when to select this skill. The domain keywords provide some value but are insufficient without actionable context.

Suggestions

Replace the persona framing with concrete action verbs describing what the skill does, e.g., 'Generates Kubernetes manifests, configures ArgoCD/Flux GitOps pipelines, troubleshoots pod failures, designs Helm charts.'

Add an explicit 'Use when...' clause with trigger terms, e.g., 'Use when the user asks about Kubernetes, k8s, container orchestration, GitOps, ArgoCD, Flux, Helm, deployments, or cluster configuration.'

Include common synonyms and abbreviations users would naturally use, such as 'k8s', 'kubectl', 'pods', 'services', 'ingress', 'Helm charts', and 'YAML manifests'.

DimensionReasoningScore

Specificity

Names the domain (Kubernetes, GitOps, container orchestration) but lists no concrete actions. Terms like 'specializing in' and 'expert' are vague qualifiers rather than actionable capabilities. No verbs describing what the skill actually does.

2 / 5

Completeness

There is no clear 'what does this do' in terms of concrete actions, and there is no 'when should Claude use it' clause at all. The description reads as a persona statement rather than a functional skill description.

1 / 5

Trigger Term Quality

Includes some relevant keywords like 'Kubernetes', 'ArgoCD', 'Flux', 'GitOps', and 'container orchestration' that users might mention. However, it misses common variations like 'k8s', 'helm', 'kubectl', 'pods', 'deployments', 'manifests', or 'YAML configs' that users would naturally say.

3 / 5

Distinctiveness Conflict Risk

The mention of specific tools (ArgoCD, Flux) and Kubernetes provides some distinctiveness, but 'cloud-native infrastructure' and 'enterprise container orchestration' are broad enough to overlap with general DevOps or cloud infrastructure skills.

3 / 5

Total

9

/

20

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.

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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