Content
85%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 executable code and clear, checkpointed workflows. Its only real weakness is conciseness: the large inline dated model list and verification date are time-sensitive content that will bloat and stale the skill.
Suggestions
Move the dated version strings and 'Verified 2026-04-30' note into a clearly-marked deprecated/old-patterns section, or pull the full model registry into a referenced file so the body stays lean.
Trim dated model variants (e.g. the '-2026-03-05' snapshots) to just the canonical names unless a dated pin is load-bearing, reducing staleness risk.
Consider extracting the Available Models table into references/available-models.md and signaling it from the body, improving progressive disclosure and keeping the core skill terse.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly lean, but the inline Available Models list carries many dated version numbers (e.g. 'gpt-5.4-2026-03-05', 'gpt-5.4-pro-2026-03-05') and a 'Verified 2026-04-30' date — time-sensitive information not placed in a deprecated/old-patterns section, which the rubric penalizes. | 2 / 3 |
Actionability | Provides fully executable TypeScript examples with 'npm install' commands for OpenAI, Anthropic, @google/genai, Netlify Functions, text-to-image, and image-to-image — copy-paste ready. | 3 / 3 |
Workflow Clarity | The Setup section gives a clear numbered sequence (enable AI, deploy to production, install SDK) with an explicit first-deploy checkpoint, and Errors & Troubleshooting supplies error→cause→fix feedback loops. | 3 / 3 |
Progressive Disclosure | Single-file skill with well-organized sections and one clearly-signaled external reference ('see netlify-blobs/SKILL.md'); no nested references and no bundle files to mismanage. | 3 / 3 |
Total | 11 / 12 Passed |