Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is an excellent skill that efficiently translates natural language requirements into TLA+ properties. It provides concrete patterns, executable code, a thorough worked example, and explicit anti-patterns—all without wasting tokens on concepts Claude already knows. The structured output format ensures consistent, verifiable results.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient, assuming Claude understands TLA+ fundamentals. Every section adds value—classification tables, pattern catalogs, and worked examples are all actionable without explaining what TLA+ is or how model checking works. | 3 / 3 |
Actionability | Provides concrete, executable TLA+ code throughout—pattern catalog maps English directly to TLA+ syntax, worked example shows complete property definitions, and the history variable trick for precedence is copy-paste ready. | 3 / 3 |
Workflow Clarity | Clear two-step process (classify → find state predicate) with explicit decision criteria. The 'Do not' section serves as validation checkpoints, and the output format provides a structured checklist including sanity checks. | 3 / 3 |
Progressive Disclosure | Well-organized with clear sections progressing from classification to patterns to worked example to pitfalls. At ~100 lines, the content is appropriately self-contained without needing external references, and sections are clearly delineated. | 3 / 3 |
Total | 12 / 12 Passed |