Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
An instruction-only skill body that is dense with non-obvious domain knowledge, highly actionable (exact JSON shapes, tool names, and UI copy), and well-sequenced with validation checkpoints. Progressive disclosure is clean: an overview body pointing to two real, clearly-signaled reference files via a purpose table.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and assumes Claude's competence: it carries only non-obvious domain knowledge (the fill-in skeleton, the three counterintuitive platform facts) and explicitly forbids re-teaching what Claude knows ('A playbook that re-teaches these wastes the 1-2 KB budget and drifts from the source of truth'). Every section earns its tokens. | 3 / 3 |
Actionability | Gives a concrete fill-in skeleton plus exact, copy-ready specifics: JSON shapes like '{type: "array", items: {type: "string", enum: [...]}}', 'oneOf: [{const, title, description}]', and 'x-ag-stepper': true', exact tool/field names (discover_tools, test_run, delta.set.parameters.agent.tools), and exact UI copy ('Lightning "Test event"', 'Play "Run"'). Not pseudocode or abstract direction. | 3 / 3 |
Workflow Clarity | Sequenced process with explicit validation: the skeleton is mapped to the build loop ('Every section maps to the build loop: Match to step one…'), and the Verify section is a numbered checklist with a checkpoint ('read the verdict and the tools line, not a 200') and a trigger-test sequence. Not a 2 because validation checkpoints are explicit, not implicit. | 3 / 3 |
Progressive Disclosure | The body is an overview with a well-signaled 'Read a reference when' table pointing to real one-level-deep bundle files (references/prompting-checklist.md and references/worked-example.md, both present), each paired with the task that needs it. No deep nesting; navigation is easy. | 3 / 3 |
Total | 12 / 12 Passed |