Name: boto3-eks
Rating: 69.6 (1 reviews)
Author: fernandezbaptiste

boto3-eks

AWS Boto3 SDK patterns for Amazon EKS cluster management, node groups, authentication tokens, and Kubernetes client integration. Use when working with EKS clusters, managing node groups, generating kubeconfig, creating authentication tokens, integrating Kubernetes Python client, managing Fargate profiles, or implementing IRSA authentication.

Quality

84%

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Securityby

Passed

No findings from the security scan

The canonical home for this skill is boto3-eks in fernandezbaptiste/Skrillz

Quality

Content

76%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 highly actionable reference skill with executable code for every common EKS/boto3 task and well-signaled references to deeper material. Its main gaps are the absence of validation/feedback loops around mutating operations and some content overlap between the inline quick reference and the dedicated reference files.

Suggestions

Add a validation checkpoint after mutating calls (e.g. verify nodegroup status via describe_nodegroup after update_nodegroup_config) to introduce a validate→fix→retry loop and lift workflow clarity.

Move the full token-generation and kubeconfig-generation blocks into references/auth-tokens.md and keep only a short pointer inline, reducing duplication between the quick reference and the reference file.

Trim inline comments like '# Poll every 30 seconds' where the code is self-explanatory to further tighten token efficiency.

Dimension	Reasoning	Score
Conciseness	Mostly efficient — the body is dominated by executable code rather than padded explanation, with only minor inline commentary that could be trimmed; it assumes Claude's competence and avoids lecturing on what EKS/boto3 is.	4 / 5
Actionability	Copy-paste-ready executable code covers the common cases end to end: client init, describe/list, token generation, kubeconfig generation, nodegroup scaling, Fargate profiles, error handling, and waiters.	5 / 5
Workflow Clarity	The skill is a pattern catalog rather than a sequenced workflow, so steps are sectional but lack explicit validation checkpoints for mutating calls like update_nodegroup_config; no validate→fix→retry feedback loop is shown.	3 / 5
Progressive Disclosure	Good structure with an explicit Progressive Disclosure section pointing to three real, one-level-deep reference files (cluster-operations.md, auth-tokens.md, nodegroups-fargate.md), though token/kubeconfig generation is duplicated inline where it could live solely in the auth-tokens reference.	4 / 5
	Total	16 / 20 Passed

Description

92%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, third-person description that names concrete capabilities and pairs them with an explicit, trigger-rich 'Use when' clause. It is clearly distinguishable from sibling skills and would fire on the right requests.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'cluster management, node groups, authentication tokens, and Kubernetes client integration' plus 'generating kubeconfig' and 'managing Fargate profiles' — giving comprehensive coverage of the skill's capabilities.	5 / 5
Completeness	Explicitly answers both 'what' ('AWS Boto3 SDK patterns for Amazon EKS cluster management...') and 'when' ('Use when working with EKS clusters, managing node groups, generating kubeconfig...') with concrete trigger phrases.	5 / 5
Trigger Term Quality	Strong natural keyword coverage ('EKS clusters', 'node groups', 'kubeconfig', 'authentication tokens', 'Kubernetes Python client', 'Fargate profiles', 'IRSA') that users would actually say, though a few synonyms (e.g. 'k8s', 'boto3') are absent.	4 / 5
Distinctiveness Conflict Risk	The EKS/Boto3/Kubernetes-client niche with specific triggers (kubeconfig, IRSA, Fargate) is clearly distinct from other skills with minimal overlap risk.	5 / 5
	Total	19 / 20 Passed

Validation

100%

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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
Path: .claude/skills/boto3-eks/SKILL.md
Commit: 93ed392

Reviewed: 1 day ago

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