Content
72%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is concise, well-structured, and mostly actionable with strong code examples, but the Google SDK example is incomplete and workflow error-recovery is implicit rather than explicit.
Suggestions
Make the Google AI SDK example executable: show the actual base-URL configuration via environment variable (e.g., Netlify.env.get) instead of 'new GoogleGenerativeAI("placeholder")' with a comment.
Add an explicit error-handling note or checkpoint for API calls (e.g., what to do on an 'unsupported model' runtime error), since the warning implies a failure mode worth covering.
Consolidate the duplicate OpenAI usage example (the standalone section and the Netlify Function section) or differentiate them more sharply to avoid redundancy.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean — compact code examples and brief setup steps with minimal prose, avoiding explanation of concepts Claude already knows. Minor redundancy (two OpenAI examples, the env-var table restating 'automatic') does not rise to verbosity. | 3 / 3 |
Actionability | Most sections give install commands and complete executable TypeScript (OpenAI, Anthropic, Netlify Function), but the Google example uses 'new GoogleGenerativeAI("placeholder")' with only a comment about configuring the base URL rather than real executable code. | 2 / 3 |
Workflow Clarity | Setup is a clear 3-step sequence and model selection is flagged with an important warning, but there are no explicit validation/error-recovery checkpoints and the Google config path is left implicit. | 2 / 3 |
Progressive Disclosure | The single well-organized SKILL.md is under ~115 lines with clean sections, and the only external reference (the available-models list) is deferred one level deep to the docs URL with a clear signal. | 3 / 3 |
Total | 10 / 12 Passed |