Content
92%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 TLA+ specification extraction through concrete examples and clear workflows. The worked example with buggy Go code translated to TLA+ is particularly effective. Minor improvement possible in progressive disclosure by better organizing references to related skills/documentation.
Suggestions
Add explicit links to related skills (e.g., make 'tlaplus-model-reduction' a proper markdown link to the referenced skill file)
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Every section earns its place. No explanation of what TLA+ is or basic concepts Claude knows. The tables, examples, and do-not lists are dense with actionable information without padding. | 3 / 3 |
Actionability | Provides complete, executable TLA+ code with a worked example showing real Go code translated to a full TLA+ module. The output format template and step-by-step process are copy-paste ready. | 3 / 3 |
Workflow Clarity | Clear 3-step process (identify state → identify actions → write actions) with explicit guidance on atomicity boundaries. The 'Do not' section serves as validation checkpoints, and the sanity-check advice about verifying the model terminates is a feedback loop. | 3 / 3 |
Progressive Disclosure | Content is well-organized with clear sections and tables, but it's a single monolithic file. The reference to 'tlaplus-model-reduction' suggests related skills exist but could be better signaled with explicit links to related documentation. | 2 / 3 |
Total | 11 / 12 Passed |