Content
80%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.
Well-structured, lean content that leverages real reference files for full code. The main weakness is the absence of an explicit validation feedback loop in the apply-sequence for a batch/spending workflow.
Suggestions
Add an explicit verification checkpoint between the routing/minimize/batch steps and the tracking step (e.g., 'after routing, confirm token usage dropped via trackUsage before enabling caching') to create a validate->fix->retry loop.
Surface a concrete validation step for batch operations, such as checking parsed batchClassify output length matches input length before trusting results.
Include a brief rollback or rollback-detection note for the console spending-limit step so overspend is caught and reverted rather than only alerted.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body assumes Claude's competence, leads with a lean routing skeleton, defers full code to references, and contains no padding or explanations of concepts Claude already knows. | 5 / 5 |
Actionability | Inline routing skeleton is executable and the full, copy-pasteable implementations live in the real references files; minor gaps remain inline (only routing shown in the body), so it falls just short of fully copy-paste-ready in the overview. | 4 / 5 |
Workflow Clarity | The six levers are sequenced ('apply in order; each compounds'), but this batch/spending workflow has no explicit validate->fix->retry checkpoint in the apply sequence, which caps the score per the batch-operation guidance. | 3 / 5 |
Progressive Disclosure | SKILL.md is a clear overview with well-signaled, one-level-deep references (implementation.md, examples.md) that are real files, making navigation easy with no nested indirection. | 5 / 5 |
Total | 17 / 20 Passed |