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terraform-eks

Provision production-ready AWS EKS clusters with Terraform. Covers cluster configuration, managed node groups, Fargate profiles, IRSA, EKS add-ons (CoreDNS, kube-proxy, VPC CNI, EBS CSI), VPC integration, and security best practices. Use when provisioning EKS, setting up Kubernetes on AWS, configuring node groups, implementing IRSA, or managing EKS infrastructure as code.

67

Quality

84%

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SKILL.md
Quality
Evals
Security

Quality

Content

61%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.

A strong, highly actionable Terraform/EKS reference with excellent progressive disclosure to three real, well-organized bundle files. Its weaknesses are redundancy: a command table of things Claude already knows, config blocks duplicated between the overview example and topic sections, dangling resource references in the main example, and the absence of an explicit ordered workflow with validation checkpoints.

Suggestions

Delete the 'Quick Reference' table of standard terraform commands (init/plan/apply/destroy/state list) — Claude already knows these — and keep one canonical copy of the cluster_addons and node-group configuration, pointing from the Basic Example to the topic sections or references instead of repeating them.

Centralize the time-sensitive pinned versions (provider pins, module ~> 21.0, addon_version strings) in one 'Version Requirements' area or move them into the reference files so they don't rot across multiple duplicated blocks.

Add an explicit ordered workflow (create VPC -> apply EKS module -> wire IRSA/add-ons -> update kubeconfig -> verify with `kubectl get nodes`) with validation checkpoints such as reviewing `terraform plan` before apply, and define or link the `aws_kms_key.eks`, `module.vpc_cni_irsa`, and `module.efs_csi_irsa` resources referenced by the Basic example.

DimensionReasoningScore

Conciseness

The body is dense, useful HCL with almost no filler prose, but it includes unnecessary content a competent model already knows (the Quick Reference table glossing `terraform init`/`plan`/`apply`/`state list`) and notable duplication: the cluster_addons and node-group blocks appear in both the Basic Example and their own sections, and endpoint-access config is repeated. It fits 'mostly efficient but includes some unnecessary explanation or could be tightened' rather than anchor 4's 'minor instances', and is not anchor 2 because the bulk genuinely earns its place.

3 / 5

Actionability

Nearly all sections are copy-paste-ready executable HCL or CLI commands covering the common cases (basic cluster, spot taints, Fargate selectors, EBS CSI IRSA role, VPC tags, private-cluster endpoints, kubeconfig access). It stops short of anchor 5 because the flagship Basic example references `aws_kms_key.eks`, `module.vpc_cni_irsa`, and `module.efs_csi_irsa`, none of which are defined anywhere in the body, so a verbatim copy-paste of that block fails.

4 / 5

Workflow Clarity

Provisioning is a multi-step process (VPC, then EKS, then IRSA/add-ons, then kubeconfig, then verify), but the sequence is only implicit in section order and there is no plan-review or per-step validation checkpoint for a batch infrastructure operation. The 'Check Cluster Status' snippet provides one post-apply verification, which keeps it at anchor 3 ('sequence present but checkpoints missing or implicit') rather than 2; the missing apply-time validation gate rules out 4.

3 / 5

Progressive Disclosure

The three reference files are real, substantial (585-657 lines each), topically matched, clearly signaled in a 'Detailed Documentation' section with one-line descriptions, and one level deep. It falls short of anchor 5 because the body is itself a ~415-line mini-reference whose add-on, node-group, and version-pinning content substantially duplicates the reference files, rather than a lean overview with the bulk split out.

4 / 5

Total

14

/

20

Passed

Description

100%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.

An exemplary skill description: concrete and comprehensive 'what', an explicit 'Use when' clause with natural trigger phrases and synonyms, third-person voice, and a clearly bounded Terraform/EKS niche. No fluff or over-claims beyond the mild 'production-ready' framing.

DimensionReasoningScore

Specificity

The description names a concrete primary action ("Provision production-ready AWS EKS clusters with Terraform") and comprehensively enumerates specific covered capabilities including named components ("managed node groups, Fargate profiles, IRSA, EKS add-ons (CoreDNS, kube-proxy, VPC CNI, EBS CSI), VPC integration"). This matches the anchor 'Lists multiple specific concrete actions; comprehensive coverage'; it is above anchor 4 because coverage has no real gaps beyond the mildly generic 'security best practices'.

5 / 5

Completeness

It explicitly answers both questions: 'what' via "Provision production-ready AWS EKS clusters with Terraform. Covers cluster configuration, managed node groups, Fargate profiles, IRSA, EKS add-ons..." and 'when' via "Use when provisioning EKS, setting up Kubernetes on AWS, configuring node groups, implementing IRSA, or managing EKS infrastructure as code." This is the anchor-5 pattern of concrete what plus explicit when-clause triggers.

5 / 5

Trigger Term Quality

Trigger phrases are natural user language: "provisioning EKS", "setting up Kubernetes on AWS", "configuring node groups", "implementing IRSA", "managing EKS infrastructure as code". Synonym and variation coverage (EKS / Kubernetes on AWS / infrastructure as code / Terraform) matches the comprehensive-synonyms anchor rather than the 'a few natural terms missing' anchor.

5 / 5

Distinctiveness Conflict Risk

The Terraform-on-AWS-EKS niche is clear and triggers are domain-specific (EKS, node groups, IRSA), so it would not fire for generic Terraform, Kubernetes, or eksctl requests. Clear niche with distinct triggers and minimal conflict risk.

5 / 5

Total

20

/

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
fernandezbaptiste/Skrillz
Reviewed

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