Content
57%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides highly actionable, executable TypeScript code for Azure Document Intelligence with good coverage of the API surface. However, it suffers from repetitive boilerplate across examples (the analyze+poll pattern is repeated 6+ times), a monolithic structure that would benefit from progressive disclosure, and lacks error recovery guidance for long-running operations. The 'When to Use' section adds no value.
Suggestions
Extract the repeated analyze→isUnexpected→getLongRunningPoller→pollUntilDone pattern into a single reusable helper shown once, then reference it in subsequent examples to reduce repetition.
Split detailed examples (invoice fields, receipt fields, custom model building, classifier building) into separate reference files and link to them from the main skill.
Add error recovery guidance for polling failures (timeouts, transient errors, retry strategies) to improve workflow clarity.
Remove the vacuous 'When to Use' section that adds no information.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is mostly efficient with executable code examples, but there's significant repetition in the analyze pattern (URL, local file, invoice, receipt all repeat the same polling boilerplate). The prebuilt models table and key types section are useful, but the receipt and invoice examples could be condensed since they follow the identical pattern. The 'When to Use' section is vacuous. | 2 / 3 |
Actionability | All code examples are fully executable TypeScript with correct imports, proper type annotations, and real API patterns. The examples cover authentication, analysis, custom model building, classification, and pagination — all copy-paste ready with proper error handling. | 3 / 3 |
Workflow Clarity | The polling pattern section clearly sequences the async workflow (start → check errors → create poller → monitor → wait), but there are no validation checkpoints for destructive/batch operations like building custom models. No guidance on what to do if polling fails, times out, or returns unexpected results. The error handling is present but lacks recovery/retry guidance. | 2 / 3 |
Progressive Disclosure | This is a monolithic wall of code examples with no references to external files for advanced topics. At ~200+ lines, the custom model building, classifier building, and detailed field extraction examples could be split into separate reference files. Everything is inline with flat section headers and no navigation structure. | 1 / 3 |
Total | 8 / 12 Passed |