Content
81%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.
A well-structured, highly actionable skill body built around concrete commands and worked examples. Its only gaps are a minor redundancy and the absence of an explicit output-validation checkpoint in the iteration workflow.
Suggestions
Add an explicit validation step to the Iteration Workflow (e.g., list/get the generated screen and confirm it matches intent before running fetch_screen_code).
De-duplicate the model timing information that appears in both 'Generate a Screen' and 'Model Selection' to trim tokens.
Consider moving the Errors table and full Examples into a reference file to tighten the SKILL.md overview, signaling them with one-level-deep links.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and table-driven with no padding of concepts Claude already knows; only minor redundancy (model timing restated across sections). | 4 / 5 |
Actionability | Fully executable copy-paste-ready mcporter commands with real parameter values, device types, model IDs, and complete worked prompt examples covering common cases. | 5 / 5 |
Workflow Clarity | The Iteration Workflow is clearly sequenced with response-handling and error-fix guidance, but lacks an explicit validate-the-generated-output checkpoint before extracting code. | 4 / 5 |
Progressive Disclosure | Well-organized single-file structure with clear section headers and no external bundle; some reference-like material (error tables, examples) is inlined rather than split out. | 4 / 5 |
Total | 17 / 20 Passed |