Content
88%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.
The body is lean, executable, and well-structured with concrete Wrong/Correct examples and a single external pointer for exact API details; it loses only a little on workflow clarity for lacking explicit verification checkpoints and on progressive disclosure because no separate reference files are used.
Suggestions
Add an explicit verification step in API Discovery (e.g., 'Confirm the returned names match the .d.ts before relying on them') to strengthen the feedback loop.
Consider extracting the API surface into a referenced file (e.g. references/api.md) so SKILL.md stays a pure overview, which would lift progressive_disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean throughout: no padding, no explaining of basics, just setup, core patterns, and mistakes with minimal prose; the API Discovery section points to the .d.ts rather than restating types. | 5 / 5 |
Actionability | Copy-paste-ready executable code for setup, column inference, reactive data via getters, and concrete Wrong/Correct pairs for each common mistake, covering the common cases. | 5 / 5 |
Workflow Clarity | Sequenced sections (Setup -> Core Patterns -> Common Mistakes -> API Discovery) with corrective examples, but there are no explicit validation/verification checkpoints; this is not a destructive/batch workflow so the cap does not apply, yet a checkpoint for verifying returned names against the .d.ts is only implied. | 4 / 5 |
Progressive Disclosure | Well-organized single-file overview with clear section headers and a one-level pointer to the .d.ts for exact API names; no bundle files exist, and content is appropriately self-contained, with only minor room to externalize the API reference. | 4 / 5 |
Total | 18 / 20 Passed |