Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is an exceptionally well-structured skill that balances completeness with conciseness. The three-mode architecture with clear sequences, validation checkpoints, and copy-paste templates makes it immediately actionable. The progressive disclosure to optional reference files is cleanly handled, though the absence of bundle files means we can't verify those references exist.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is lean and efficient. It avoids explaining what design systems are or how tokens work conceptually. Every section serves a structural or instructional purpose, and the copy-paste templates pack maximum information density without redundancy. | 3 / 3 |
Actionability | The skill provides concrete, copy-paste-ready templates for token contracts, scorecard rows, audit findings, component doc areas, and first actions. The mode sequences give specific deliverables (e.g., 'four token layers', '0-4 scores', 'Stabilize, Standardize, Scale roadmap') rather than vague direction. | 3 / 3 |
Workflow Clarity | The workflow is clearly sequenced with explicit validation checkpoints ('scope/foundations before contracts, evidence coverage before scores, scored findings before roadmap'). Each mode has a defined sequence, and step 4 addresses uncertainty handling. The audit mode includes a clear feedback loop: evidence inventory → scores → findings → roadmap. | 3 / 3 |
Progressive Disclosure | The skill provides a complete, self-contained workflow in the main file while clearly signaling four one-level-deep reference files in a well-organized table. The 'Optional References' framing explicitly states the main file is sufficient, with references for 'deeper domain detail' only. | 3 / 3 |
Total | 12 / 12 Passed |