Content
20%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body reads as a generic capability catalog with no executable guidance, code, or validation steps, and pads the context with technology enumerations Claude already knows. It is structured but lacks the concrete, actionable, token-efficient content the rubric rewards.
Suggestions
Replace the tool-name catalog with concrete, actionable guidance or executable IaC snippets (e.g., a Terraform module skeleton or a cost-optimization command) instead of bullet lists of services Claude already knows.
Add explicit validation checkpoints and feedback loops to the 'Response Approach' workflow, especially for destructive or batch operations like migrations and infrastructure changes.
Split the broad capability catalog into one-level-deep reference files (e.g., references/finops.md, references/dr-patterns.md) and keep SKILL.md as a concise overview that links to them.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is a padded catalog enumerating technology names Claude already knows (AWS services, Terraform, Kafka, etc.) rather than task-specific guidance, matching the verbose/explains-known-concepts anchor. | 1 / 3 |
Actionability | No executable code, concrete commands, or specific examples appear; the skill only describes capabilities and lists tools, matching the vague/abstract 'describes rather than instructs' anchor. | 1 / 3 |
Workflow Clarity | The 'Response Approach' lists a sequenced 8-step process, but the steps are abstract descriptions with no validation checkpoints or feedback loops, matching the 'steps listed but validation gaps' anchor. | 2 / 3 |
Progressive Disclosure | No bundle files exist and all content is inline as a monolithic ~120-line catalog that could be split into separate reference materials, matching the 'some structure but content that should be separate is inline' anchor. | 2 / 3 |
Total | 6 / 12 Passed |