Content
86%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 lean, well-structured instruction-only skill: every line is domain-specific and actionable, and it closes with concrete verification guidance. The only gaps are the absence of worked examples (a sample state machine or fixture) and any error-recovery loop for when tests fail.
Suggestions
Actionability: add one compact worked example — e.g., a sample state-transition specification (state, prerequisites, exit conditions, dwell time) or a small deterministic fixture snippet — so the abstract guidance has a concrete anchor.
Workflow_clarity: add a brief failure-handling step, such as what to inspect and re-run when a regression fixture fails after a balance change (narrow the failing transition, reproduce deterministically, re-run the fixture and the browser encounter).
Workflow_clarity: make the fixture list explicitly checkable (e.g., present the eleven scenarios as a bullet checklist) so coverage of the decision surface can be verified against it directly.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | At ~29 lines every sentence carries project-specific guidance ("minimum dwell time", "Do not derive them from rendered pose", "Assert transitions and outcomes, not only final positions") with zero padding or explanation of concepts Claude already knows; it fully assumes the model's competence. | 5 / 5 |
Actionability | The guidance is concrete and specific — named states, enumerated fixture scenarios ("target acquisition, target loss, obstruction, path failure..."), and named anti-patterns ("instant turn-and-hit", "recovery spam") — but as an instruction-only skill it stops short of fully executable material: no example state-transition spec or sample test skeleton to anchor the common cases. | 4 / 5 |
Workflow Clarity | Sections flow coherently from modeling to testing, the perception/intent/motion section is an explicit numbered sequence, and validation is explicit ("Assert transitions and outcomes", "Run a real browser encounter after automated tests"), but there is no error-recovery feedback loop (what to do when a fixture fails or a balance change regresses behavior). | 4 / 5 |
Progressive Disclosure | The skill is under 50 lines with no external references needed, and it is organized into four clear, well-scoped sections with a one-line thesis ("Make enemy choices legible, bounded, and reproducible") — matching the simple-skill exception where well-organized sections alone earn the top score. | 5 / 5 |
Total | 18 / 20 Passed |