Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-engineered routing skill: a dense route-first decision table, a concrete invariant checklist, explicit current-limits guardrails, and clean one-level-deep references to verified bundle files. It assumes competence and avoids concept explanation padding.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and assumes Claude's competence — it names AlertPolicy, HogFunction dispatch, and state machines without explaining what they are — and contains no concept padding; the only mild redundancy is the reference appendix re-listing links already in the route table. | 3 / 3 |
Actionability | Concrete, specific guidance throughout: named modules ("common/alerting/state_machine.py", "products/alerts/backend/scheduling.py"), named functions ("apply_outcome"), and a request-to-reference routing table; as an instruction-only skill the absence of copy-paste code is not penalized because the pointers are actionable. | 3 / 3 |
Workflow Clarity | A clear sequenced entry process (the "Route first" decision table), an explicit nine-item invariant checklist, and an embedded feedback loop (invariant 4: restore the pre-check outcome when production fails) together meet the anchor for clear sequence plus validation and error recovery. | 3 / 3 |
Progressive Disclosure | SKILL.md is a lean overview that points to four real, one-level-deep reference files (adopting-platform-alerting.md, architecture.md, extending-platform-alerting.md, frontend-alerting.md — all verified present) via two well-signaled navigation tables, splitting detail appropriately. | 3 / 3 |
Total | 12 / 12 Passed |