creating-amazon-aurora-db-cluster-with-instances

Creates a complete Amazon Aurora database cluster with instances, handling cluster creation, instance provisioning, and Secrets Manager password management in the proper sequence. Use when setting up new Aurora MySQL or PostgreSQL clusters with production-ready configuration.

Quality

82%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

Securityby

Passed

No findings from the security scan

Quality

Content

72%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 well-structured, concise overview that correctly delegates the detailed SOP to a one-level-deep reference file. The body itself is light on executable detail and inline validation checkpoints, which are cap-bound dimensions for a database-provisioning skill.

Suggestions

Inline a compact version of the core command sequence (e.g., the create-db-cluster and create-db-instance call_aws invocations) so the body is actionable without opening the reference.

Surface an explicit validation checkpoint in the body — such as monitoring cluster/instance status to "available" and aborting on "failed" — rather than only referencing "retry logic" abstractly.

Make troubleshooting entries more concrete by naming the specific status fields or commands to inspect (e.g., describe-db-clusters Status) instead of generic "Verify"/"Check" phrasing.

Dimension	Reasoning	Score
Conciseness	The body is lean and efficient, assumes Claude's competence, and avoids explaining what Aurora or RDS is — every token earns its place.	5 / 5
Actionability	The body describes the high-level sequence ("creates an empty Aurora cluster first, then adds a database instance") but delegates all executable commands to the reference file, leaving only vague hints inline; troubleshooting guidance is similarly abstract ("Verify...", "Check...").	3 / 5
Workflow Clarity	A rough sequence is present and status monitoring with retry logic is mentioned, but explicit validation checkpoints are deferred to the reference rather than shown inline; for a database operation the missing visible feedback loop caps the score at 3.	3 / 5
Progressive Disclosure	The body is a clear overview with a well-signaled, one-level-deep markdown link to the real reference file references/create-amazon-aurora-db-cluster-with-instances.md; content is appropriately split and easy to navigate.	5 / 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 concretely states capabilities and provides an explicit "Use when" trigger tied to Aurora MySQL/PostgreSQL clusters. The only minor gap is the absence of the common "RDS" synonym in the trigger terms.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — "cluster creation, instance provisioning, and Secrets Manager password management" — with comprehensive coverage of the skill's capabilities.	5 / 5
Completeness	Explicitly answers both what ("Creates a complete Amazon Aurora database cluster with instances...") and when ("Use when setting up new Aurora MySQL or PostgreSQL clusters...") with concrete trigger phrases.	5 / 5
Trigger Term Quality	Includes natural terms like "Aurora MySQL or PostgreSQL clusters" and "production-ready configuration," but omits common synonyms such as "RDS" that users would naturally say.	4 / 5
Distinctiveness Conflict Risk	Targets a clear AWS-specific niche (Aurora cluster + instances + Secrets Manager) with distinct triggers and minimal overlap risk against other skills.	5 / 5
	Total	19 / 20 Passed

Validation

93%

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 — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: aws/agent-toolkit-for-aws
Path: skills/specialized-skills/database-skills/creating-amazon-aurora-db-cluster-with-instances/SKILL.md
Commit: 68d9e85

Reviewed: 4 days ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.