Content
65%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.
Highly actionable: executable code in three languages, concrete endpoints and fields, a defined polling loop, and explicit error handling. However, the body is ~400 lines with the same calls duplicated across languages and inline bulk API reference that should live in separate files, and the batch workflow lacks validation/retry checkpoints.
Suggestions
Consolidate the curl, TypeScript, and Python versions of the same POST /v2/video_translate call into a single canonical example and trim the 'Translation Options' snippets that restate the request-field table.
Move the bulk reference material (field tables, v4 interface, supported-languages list, batch example) into references/ files, keeping SKILL.md as a concise overview with one-level-deep links.
Add a validation/feedback step to the batch workflow — e.g., verify each completed video URL and retry failed languages once — so batch operations include a recovery loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The material is API-specific (endpoints, fields, language codes) that Claude does not already know, but the same POST call is shown three times (curl, TypeScript, Python), and 'Translation Options', 'Complete Workflow', and 'Batch Translation' largely restate the request-field table as near-duplicate config snippets — it could be tightened to roughly one example per operation. Not 4 because the duplication across languages and repeated trivial config snippets are more than minor over-explanation; not 2 because no section explains general concepts Claude already knows and every section is individually on-topic. | 3 / 5 |
Actionability | Fully executable throughout: copy-paste curl/TypeScript/Python for POST /v2/video_translate, a status interface with literal status values ("pending" | "processing" | "completed" | "failed"), a polling function with 30s intervals and a 30-minute cap, a language-code table, and an error-message-to-cause mapping ("quota", "duration", "format"). Not 4 because the common cases are covered with specific, runnable code and no gaps remain. | 5 / 5 |
Workflow Clarity | "Default Workflow" gives a clear 4-step sequence and polling checks status with a 'failed' branch that surfaces the error message, but the Batch Translation workflow only records failures ("results[job.lang] = `error: ${error.message}`") with no verification of outputs and no retry/recovery loop — per the rubric, batch operations without validation cap workflow clarity at 3. Not 4 because the batch path lacks the validation checkpoints the 4-anchor requires; not 2 because the main sequence is well defined with explicit status feedback. | 3 / 5 |
Progressive Disclosure | Section headers are clear and consistent, but the ~400-line body inlines bulk reference material — full request-field tables, three-language code samples, the v4 interface definition, the language list, and the batch example — that belongs in separate reference files; no references/ directory exists. This matches the 'content that should be separate is inline' anchor. Not 4 because a substantial amount of reference content is inlined rather than split; not 2 because the structure is well organized, not minimal. | 3 / 5 |
Total | 14 / 20 Passed |