Lists multiple specific concrete actions and resources: EC2, RDS, Lambda, ECS/EKS, VPC networking, load balancers, S3, DynamoDB, SQS/SNS, cost optimization, security compliance, capacity planning, and resource inventory.

Clearly answers both 'what' (AWS cloud resource monitoring across many services) and 'when' (explicit 'Use when' clause with triggers, plus a 'Do NOT use' clause that further clarifies boundaries). The explicit trigger list and negative guidance make this exceptionally complete.

Excellent coverage of natural trigger terms users would actually say: 'show EC2 instances', 'find RDS databases', 'VPC resources', 'AWS cost optimization', 'Lambda functions', 'ECS services', 'security groups', 'unattached EBS volumes', 'publicly accessible databases', 'AWS dashboards'. These are highly natural phrases.

Highly distinctive with clear AWS-specific niche. The 'Do NOT use' section explicitly delineates boundaries with related skills (dt-obs-hosts, dt-obs-tracing, dt-obs-logs), directly reducing conflict risk with neighboring skills.

The skill is reasonably efficient with executable DQL examples and structured sections, but includes some redundancy — the 'When to Load References' section is very verbose, listing 12 reference files with bullet-pointed trigger conditions that could be condensed into a table. The 'Common AWS Fields' section lists fields Claude could infer. The 'Best Practices' and 'Limitations' sections contain some obvious guidance (e.g., 'Filter early by account and region', 'Handle null values gracefully').

The skill provides numerous fully executable DQL queries covering resource discovery, VPC analysis, database monitoring, load balancer topology, cost optimization, and security compliance. Each workflow has concrete, copy-paste-ready code with specific entity types, field names, and filter patterns. The common query patterns table provides reusable templates.

The workflows are clearly numbered and sequenced with good examples, but they lack validation checkpoints. For potentially impactful operations like security audits or cost optimization, there are no verification steps (e.g., 'confirm results before acting on cost recommendations'). The workflows are more like query catalogs than step-by-step processes with feedback loops.

Excellent progressive disclosure structure — the main skill provides an overview with inline examples for common use cases, then clearly signals 12 reference files with specific trigger conditions for when to load each one. References are one level deep, well-organized by domain, and the 'When to Load References' section provides clear navigation guidance.