Content
92%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A highly actionable, concise skill body with executable code and a clear step sequence. The main gap is progressive disclosure: reference material that could live in separate files is kept inline with no external references at all.
Suggestions
Move the Available Models table and Response Structure interface into a reference file (e.g. references/models.md) and link to it from the body to keep the SKILL.md overview lean.
Extract the Error Handling table into a short reference or collapse it to the few most common errors, linking out for the rest.
Add a one-line pointer to a references/ file for the streaming and vision examples so the core skill body stays focused on the basic completion.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence — it skips explaining what an API or LPU is beyond one relevant differentiator, and the code, model table, and error table each earn their tokens. | 3 / 3 |
Actionability | It provides fully executable TypeScript and Python snippets with concrete model IDs, real env vars, and a streaming example — copy-paste ready with no pseudocode. | 3 / 3 |
Workflow Clarity | Steps 1–4 are clearly sequenced (basic → streaming → Python → model tiers); these are read-only API calls needing no validation checkpoints, and the simple-skill guidance permits a 3 when the action is unambiguous. | 3 / 3 |
Progressive Disclosure | The single ~157-line file is well-sectioned, but no bundle files exist and reference-heavy material (the model table, response interface, error table) is inline rather than split into one-level-deep reference files. | 2 / 3 |
Total | 11 / 12 Passed |