Content
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A tight, highly actionable skill body that earns top marks for conciseness and actionability and is cleanly organized. The only gap is workflow_clarity: the add-a-class procedure lacks a separated validation checkpoint with explicit error-recovery guidance.
Suggestions
Split the final step into an explicit validation checkpoint: run `npm test`, only proceed if it passes, then `npm run build` — and add a one-line note on what to do if tests fail.
Clarify the regeneration step as its own numbered item (run the generator before `npm test`) so the full sequence is unambiguous.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean, high-signal prose that assumes competence; it gives exact files, grid sizes, row orders, and APIs with no padding or explanation of concepts Claude already knows. | 3 / 3 |
Actionability | Provides concrete, executable specifics — exact file paths, pixel grid sizes, the `repeat.y = 1 / rows` crop formula, a regeneration command (`python3 tools/generate-playable-25d-classes.py`), and a named API surface on `window.__tinyworldWorlds`. | 3 / 3 |
Workflow Clarity | The "When adding a class" section is a clear numbered sequence, but the terminal verification step is a combined `npm test` and `npm run build` with no checkpoint separating validation from build and no error-recovery guidance, capping clarity at 2. | 2 / 3 |
Progressive Disclosure | Well-organized single-file overview under ~50 lines with clearly labeled sections (Runtime, Assets, When adding a class); no bundle files exist so no nested references to manage, and inline content is appropriately scoped. | 3 / 3 |
Total | 11 / 12 Passed |