Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a strong, actionable routing hub with excellent progressive disclosure and a clear decision workflow. The only weakness is mild redundancy between the Sub-Skills table, the Quick Decision Tree, and the Critical Rules, which slightly inflates token usage.
Suggestions
Collapse the Quick Decision Tree into the Sub-Skills table or shorten it to only the cases not already tabulated, removing repetition to improve conciseness.
Since the API corrections already appear in the description, consider trimming the Critical Rules to the rules not already stated there (e.g. keep #5 and #6, which add new guidance).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly lean and route-oriented, but the Quick Decision Tree (lines 84–96) largely duplicates the Sub-Skills table and the Critical Rules repeat the API corrections already in the description, so it could be tightened further. | 2 / 3 |
Actionability | Provides concrete, copy-paste-ready guidance throughout: exact imports ('import from `@tanstack/ai-react`'), commands ('pnpm add @tanstack/ai-persistence'), and precise API signatures ('chat({ tools })', 'useChat({ clientTools })'). | 3 / 3 |
Workflow Clarity | For a routing/overview skill, the Quick Decision Tree gives an unambiguous, sequenced path from need to sub-skill, and the Critical Rules act as a clear pre-flight checklist; no destructive operations require validation checkpoints. | 3 / 3 |
Progressive Disclosure | Well-structured overview that splits detail into clearly signaled, one-level-deep references (e.g. 'ai-core/chat-experience/SKILL.md') via tables, with no nested or deeply chained references. | 3 / 3 |
Total | 11 / 12 Passed |