Content
92%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is a lean, highly actionable API reference with concrete endpoints, field paths, and error-handling decisions, plus a well-sequenced lip-sync workflow with a face-selection validation checkpoint. Its only weakness is progressive disclosure: everything lives in one monolithic file with no separate reference materials.
Suggestions
Extract the detailed protocol and parameter tables (Task Protocols, Omni references, the full error-code retry table) into a separate reference file and summarize them in SKILL.md, so the body acts as an overview with one-level-deep navigation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense, bullet-driven, and assumes Claude's competence throughout, conveying only non-obvious API specifics (endpoints, field paths, status enums, error codes) with no padding or explanations of known concepts, matching the 'lean and efficient; every token earns its place' anchor. | 3 / 3 |
Actionability | It gives exact, copy-ready specifics — endpoints like '/v1/videos/avatar/image2video', field paths like 'data.task_id', status enums, and precise retry/no-retry error-code decisions — so for an instruction/protocol skill the guidance is fully actionable, matching the top anchor. | 3 / 3 |
Workflow Clarity | The lip-sync flow is a clearly sequenced two-step process ('identify-face' then 'advanced-lip-sync') with an explicit validation checkpoint (stop and return the face list for confirmation when multiple faces are returned without an explicit face_id), and error handling supplies retry/abort decision logic, matching the 'clear sequence with explicit validation steps' anchor. | 3 / 3 |
Progressive Disclosure | No bundle/reference files exist and the ~190-line body is a single monolithic document; it is well-organized by section headers but all detailed protocol and parameter material is inline with no one-level-deep reference files to split it, matching 'some structure but content that should be separate is inline.' | 2 / 3 |
Total | 11 / 12 Passed |