Conciseness

The ~645-line body pads sections Claude doesn't need: an opening definition of what Aurora is ("Amazon Aurora is a MySQL/PostgreSQL-compatible relational database..."), a 30-line generic Prisma User/Post schema, IAM signer code duplicated in both the RDS Proxy and Security sections, and full parallel CRUD-plus-transaction treatments of the Data API in both TypeScript and Python. This matches anchor 2's 'noticeably verbose; several unnecessary explanations or padded sections' — the volume is well past what a lean SKILL.md should inline, even though much of the code itself is domain-specific and useful.

Actionability

Guidance is overwhelmingly concrete and executable: copy-paste CDK for the proxy and cluster, a working pg Pool with IAM auth, boto3 rds-data helpers, Prisma migration commands, exact CloudWatch metric names, and specific proxy settings (MaxConnectionsPercent: 90, borrowTimeout 30s). It misses a 5 due to minor gaps: the well-known Prisma-on-Lambda binary/packaging gotchas are unaddressed, and the code comments reference 'Data API Client v2' while installing the older 'data-api-client' package.

Workflow Clarity

Connection-strategy selection is clearly sequenced (Strategy 1/2/3 with best-for guidance) and the scale-to-zero section includes a genuine retry/backoff feedback loop, but workflows around risky database operations lack validation checkpoints: migrations run with no post-deploy verification, and destructive commands like 'aws rds delete-db-cluster ... --skip-final-snapshot' are presented without warnings or snapshot checks. Per the rubric's database-operations note, missing feedback loops caps this at 3.

Progressive Disclosure

The body is well-sectioned with clear headers and an upfront Sources link list, but no bundle files exist and everything — the Python guide, the Prisma setup, the CLI quick reference, the PgBouncer config — is inlined in one 645-line file. This matches anchor 3: some structure, but content that clearly belongs in separate reference files is inline.

Specificity

The description lists four concrete technologies ("AWS Aurora Serverless v2, RDS Proxy, Data API, connection pooling") but contains no actions at all — it is a topic keyword list, not a statement of capabilities. It sits below anchor 3, which requires 1-2 concrete actions (e.g., 'Configures', 'Sets up'), and fits anchor 2's 'names the domain but actions are minimal or generic' with actions entirely absent.

Completeness

The 'what' is only weakly implied by the topic list (no verbs describe what the skill does), and the description itself contains no 'Use when...' clause — the trigger guidance lives in a separate when-to-use field outside the evaluated text. Per the rubric guideline, a missing explicit trigger clause caps completeness at 3; it does not fall to 2 because the technologies named do convey a recognizable 'what'.

Trigger Term Quality

Terms like "AWS Aurora", "Serverless v2", "RDS Proxy", "Data API", and "connection pooling" are exactly what a user needing this skill would naturally say, giving good keyword coverage. It falls short of anchor 5 because common synonyms and variations (RDS, Aurora PostgreSQL/MySQL, 'serverless database', 'failover') are missing.

Distinctiveness Conflict Risk

"AWS Aurora Serverless v2, RDS Proxy, Data API" carves out a clear, AWS-specific niche with minimal conflict risk against unrelated skills. It is not a 5 because the generic "connection pooling" term and absence of trigger phrasing create minor overlap risk with general database/Postgres skills.