Content
65%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with copy-paste-ready executable code, but it is a monolithic 320-line file with repeated polling boilerplate and no progressive disclosure via reference files. Batch build operations also lack verification feedback loops.
Suggestions
Factor the repeated analyze+poll boilerplate into a single canonical pattern and have per-model examples show only the differing request body and field access.
Split advanced content (custom model build, classifier build, per-prebuilt field schemas) into reference files linked from the overview to enable one-level-deep progressive disclosure.
Add a verification step to the build workflows (e.g., test the built model against a sample document) to form a validate→fix→retry feedback loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and code-dense with no concept explanations, but the analyze→isUnexpected→getLongRunningPoller→pollUntilDone boilerplate repeats across roughly eight examples and the "When to Use"/"Limitations" sections are generic filler. | 2 / 3 |
Actionability | Examples are fully executable TypeScript with imports, real REST path calls, concrete field access, plus installation commands and env vars — copy-paste ready per the anchor. | 3 / 3 |
Workflow Clarity | The "Polling Pattern" section gives a clear numbered sequence with an explicit isUnexpected error-check step, but the build-model and build-classifier batch operations lack a verify→fix→retry feedback loop, which caps batch-op workflows at 2. | 2 / 3 |
Progressive Disclosure | The 320-line file has well-organized sections but no bundle files and no external references, with advanced build/classifier and per-model content kept inline; it exceeds the under-50-line simple-skill exemption. | 2 / 3 |
Total | 9 / 12 Passed |