Content
85%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a well-structured, actionable overview of the Text Intelligence API surface with executable snippets, a useful gotchas list, and clean layered references. Its only real weakness is mild promotional padding in the closing 'Central product skills' section and slight table/gotchas redundancy.
Suggestions
Trim or relocate the 'Central product skills' section — its `npx skills add` promotion is marketing copy that does not help Claude execute the skill and competes with the context window.
De-duplicate the params table and Gotchas: the `summarize`/`custom_topic_mode` notes appear in both; consolidate the inconsistency callout in Gotchas only and keep the table to types/shapes.
Inline a one-line advanced snippet (e.g. sentiment + custom_intent) so the common multi-feature case is copy-paste ready without opening examples/28-text-intelligence-advanced.ts.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and assumes Claude's competence (no 'what is sentiment' padding), but the trailing 'Central product skills' section is promotional tangential content and there is minor overlap between the params table and the Gotchas section. | 4 / 5 |
Actionability | Quick start and auth snippets are copy-paste executable, the params table gives concrete types, and real example files are cited; the advanced example is referenced rather than shown inline, leaving a minor gap. | 4 / 5 |
Workflow Clarity | This is a single-purpose read/analytics REST call with an unambiguous quick start; per the simple-skill exception a single clear action scores 5, and no validation checkpoints are warranted for a non-destructive read call. | 5 / 5 |
Progressive Disclosure | No bundle files exist, so scoring is on body structure: well-organized sections (Quick start, Key parameters, API reference layered 1-5, Gotchas, Example files) with clearly signaled one-level-deep references to reference.md, real example files, and external docs. | 5 / 5 |
Total | 18 / 20 Passed |