Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
Excellent skill content that demonstrates expert-level understanding of TLA+ model reduction. It's concise yet comprehensive, with concrete code examples, a diagnostic framework, and explicit soundness warnings. The worked example grounds abstract techniques in practical application, and the output format ensures Claude reports reductions transparently.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Every section earns its place. No explanation of what TLC is or how model checking works—assumes Claude knows TLA+. The diagnostic table, technique list, and worked example are dense with actionable information without padding. | 3 / 3 |
Actionability | Provides concrete, copy-paste ready TLA+ and .cfg snippets for every technique. The worked example shows exact before/after configurations with real numbers. The diagnostic table maps symptoms directly to fixes. | 3 / 3 |
Workflow Clarity | Clear sequence: diagnose first (with specific coverage flags), then apply techniques cheapest-first, with explicit validation via the output format. The 'Do not' section provides guardrails, and soundness caveats force explicit acknowledgment of limitations. | 3 / 3 |
Progressive Disclosure | Well-structured with clear sections progressing from diagnosis → techniques → worked example → edge cases → output format. No external file references needed for this self-contained skill; content is appropriately organized within a single document. | 3 / 3 |
Total | 12 / 12 Passed |