Content
92%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 tight, well-structured instruction skill: concise, clearly sequenced, and self-policing via built-in challenge and self-review loops. Adding one concrete output example would push actionability to a 5.
Suggestions
Include one short worked example of a Quick-format output (e.g. 2 clusters, 1 challenge, 3 picks) to make the expected result fully concrete.
Clarify when to switch from Quick to Deep beyond 'ambiguous or high-stakes' with a one-line heuristic, since that boundary currently rests on judgment alone.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and efficient with no over-explanation of concepts Claude already knows; every line ('Run a compact diverge-to-converge loop', the numbered steps, the format bullets) earns its place. | 5 / 5 |
Actionability | Concrete, specific instruction ('strongest 3 picks', 'reject speculative generality ... each abstraction, layer, flag, and data copy needs a current caller'); the minor gap is the absence of a worked output example showing what a cluster or '3 picks' result looks like. | 4 / 5 |
Workflow Clarity | A clear six-step numbered sequence with self-review checkpoints embedded in the Challenge and Converge steps ('Self-review first: for each new constant, object, layer, and flag ask why do we need this?'). | 5 / 5 |
Progressive Disclosure | Under 50 lines with no need for external references, and content is well-organized into clearly signaled ## Workflow and ## Formats sections, matching the simple-skill exception. | 5 / 5 |
Total | 19 / 20 Passed |