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 teaches abstract invariant generation. It provides a clear domain selection table, a concrete 5-step algorithm, a detailed worked example comparing interval vs octagon domains, and explicit anti-patterns. The output format template ensures consistent, verifiable results.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient, assuming Claude's competence with abstract interpretation concepts. Every section earns its place with no unnecessary explanations of basic concepts—it jumps straight into domain selection, algorithm steps, and worked examples. | 3 / 3 |
Actionability | Provides concrete, executable guidance with a clear algorithm (5 steps), a detailed worked example with iteration tables, domain selection criteria, and a specific output format template. The C code example and iteration tables are copy-paste ready for understanding. | 3 / 3 |
Workflow Clarity | The 5-step fixpoint iteration algorithm is clearly sequenced with explicit validation (step 5 widening/narrowing). The 'Do not' section provides error recovery guidance, and the 'Strength check' in the output format creates a feedback loop for domain adequacy. | 3 / 3 |
Progressive Disclosure | Content is well-structured with clear sections: domain table for quick reference, algorithm steps, worked example, decision guidance, anti-patterns, and output format. At ~100 lines, it's appropriately self-contained without needing external references. | 3 / 3 |
Total | 12 / 12 Passed |