Content
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is concise, highly actionable, and well-structured with appropriate progressive disclosure. Its main weakness is the absence of explicit validation checkpoints in the backend-provisioning workflow.
Suggestions
Add an explicit validation step after backend creation (e.g. az apim backend show / a test call) with a fix-and-retry loop, since provisioning AI backends is a batch/destructive-style operation that warrants a feedback checkpoint.
Fix the broken anchor in references/patterns.md#pattern-1-add-ai-model-backend — the actual heading is 'Pattern 1: Add AI Model Backend', so the slug does not resolve.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean, assumes Claude's competence with no conceptual padding, and every section delivers executable value; the trigger table lightly echoes the frontmatter but stays within budget. | 3 / 3 |
Actionability | Provides fully executable az CLI and curl commands with real flags and placeholders (e.g. az apim backend create, role assignment create, the curl chat completions call) that are copy-paste ready. | 3 / 3 |
Workflow Clarity | Policy order is sequenced and the Add AI Backend / Apply Governance sections reference patterns, but the multi-step backend provisioning workflow lacks explicit validation checkpoints or a validate-fix-retry loop for risky operations. | 2 / 3 |
Progressive Disclosure | SKILL.md is a clear overview with one-level-deep references to real files (policies.md, patterns.md, troubleshooting.md, sdk/*) that are well signaled and navigable. | 3 / 3 |
Total | 11 / 12 Passed |