Content
85%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.
A compact, actionable skill body with clear sequencing, state-aware error handling, and appropriately offloaded reference material. The decision rule for open vs close could be made more deterministic.
Suggestions
Replace the heuristic 'typically need to be open' rule with an explicit mapping per appliance/action (e.g., heat/cook -> open first; cool in fridge -> open first; toggle -> respect current state) so the open/close decision is deterministic.
Add an explicit validate-then-retry loop for the 'Nothing happened' case (re-observe, then retry the opposite action) to strengthen the feedback loop.
Clarify what counts as the skill's completion signal across all appliances, not just the microwave example, to make the success criterion uniform.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and well-organized with no padded explanations of concepts Claude already knows; every section earns its place. | 5 / 5 |
Actionability | Provides concrete executable actions (go to, open, close) and a worked example with real observations, though the open/close decision rule relies on 'typically need to be open' rather than fully deterministic guidance. | 4 / 5 |
Workflow Clarity | Clear three-step sequence with state-awareness checkpoints and an error-handling feedback loop ('Nothing happened' -> re-check), missing only an explicit validate-then-retry loop for the failure case. | 4 / 5 |
Progressive Disclosure | Under 50 lines, single-purpose, with one clearly signaled one-level-deep reference (references/trajectory_example.md) that exists as a real file; well-organized sections. | 5 / 5 |
Total | 18 / 20 Passed |