Content
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a solid, actionable skill with complete executable examples covering the main use cases (basic generation, camera control, native audio). Its main weakness is moderate verbosity—prompt engineering tips, cost tables, and full JWT boilerplate inflate the token count without adding critical value for Claude. The async workflow is demonstrated in code but could benefit from more explicit step-by-step sequencing with validation checkpoints.
Suggestions
Remove or drastically shorten the prompt engineering tips table—Claude already knows how to write descriptive prompts and doesn't need examples of lighting cues or camera language.
Extract the JWT authentication helper into a shared utility reference rather than including the full implementation inline, since it's boilerplate not specific to text-to-video.
Add explicit numbered workflow steps (1. Authenticate → 2. Submit task → 3. Poll with backoff → 4. Verify video URL accessible) above the code example to improve workflow clarity.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Generally efficient with good use of tables for parameters, costs, and errors. However, some sections like the prompt engineering tips and the full JWT auth boilerplate add bulk that could be trimmed—Claude knows how to generate JWTs and write good prompts. The parameter table is useful but the cost reference and prompt tips are borderline unnecessary. | 2 / 3 |
Actionability | Provides fully executable Python code with complete authentication, task creation, and polling logic. Camera control and native audio examples are concrete and copy-paste ready with specific parameter values and ranges documented. | 3 / 3 |
Workflow Clarity | The async workflow (create task → poll → get result) is demonstrated in code with status checking and error handling, but there's no explicit validation checkpoint or feedback loop beyond the polling. For an API-based workflow this is adequate but the sequence could be more explicitly called out as numbered steps with verification guidance. | 2 / 3 |
Progressive Disclosure | Content is well-structured with clear section headers and the external resource links at the bottom are helpful. However, with no bundle files, all content is inline in one file—the parameter reference table, prompt tips, and cost reference could be split into separate files for a cleaner overview. For a standalone skill of this length (~120 lines of content), the organization is reasonable but slightly heavy. | 2 / 3 |
Total | 9 / 12 Passed |