Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
Highly actionable reference with executable per-provider examples and clear error-recovery guidance, weakened mainly by repeated gotcha warnings and a monolithic structure with no progressive disclosure into bundle files. Strongest on actionability and workflow clarity; weakest on conciseness and progressive disclosure.
Suggestions
Dedupe the repeated warnings: state the credit-metering and first-deploy requirements once in their dedicated sections and have the opening callouts link there instead of restating them.
Move the Available Models list into a references/ file (e.g. references/models.md) and link to it from the body, so the curated model catalog is one level deep and the SKILL.md stays a lean overview.
Tighten the prose sections (Usage metering, No browser-callable gateway) to bullet points of the rule plus the one-line rationale, removing restated context.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Content is domain-specific and free of generic concept explanations, but the credit-metering warning and the first-deploy requirement are each repeated across the opening callouts and later prose sections (e.g. line 12 vs the "Usage metering" section, line 10 vs "Local Development"), so it could be tightened. It is mostly efficient but not lean enough for a 3. | 2 / 3 |
Actionability | Provides complete, executable TypeScript for OpenAI, Anthropic, @google/genai, a Netlify Function, text-to-image, and image-to-image, plus a concrete env-var table and curated model list — copy-paste ready with specific model identifiers. | 3 / 3 |
Workflow Clarity | Setup is a clear numbered sequence (enable AI → deploy to production → install SDK) and the Errors & Troubleshooting section maps each error to its cause and fix (e.g. "OPENAI_API_KEY missing" → disabled or not yet deployed), giving explicit error-recovery feedback loops. | 3 / 3 |
Progressive Disclosure | The body is a ~240-line monolith with well-organized sections but no bundle files to offload detail into; the large inline Available Models reference (lines 218–239) is content that could plausibly live in a separate file, so it is structured but not split for one-level-deep navigation. | 2 / 3 |
Total | 10 / 12 Passed |