Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is concise and well-structured with a concrete output format and clear decision criteria, but the core analysis procedure stays at an abstract level and lacks explicit validation checkpoints.
Suggestions
Turn "How to Analyze" into concrete, ordered steps (e.g., enumerate tool calls in transcript, cluster them into a named procedure, replace literal values with placeholders) instead of abstract prompts.
Add a validation checkpoint before emitting output (e.g., confirm the extracted steps are repeatable and generalize beyond the specific inputs), with a retry path if the check fails.
Provide one short worked example showing the transcript-to-JSON transformation end to end, to make the output format unambiguous.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean (~80 lines), assumes Claude's competence, and avoids re-explaining concepts Claude already knows; every section earns its place. | 3 / 3 |
Actionability | The JSON output template and explicit extraction/non-extraction criteria are concrete, but "How to Analyze" (identify core workflow / pattern / value) gives abstract direction rather than executable steps. | 2 / 3 |
Workflow Clarity | A clear sequence exists (decide whether to extract, then analyze, then output JSON) with a decision gate, but validation checkpoints are implicit and there is no error-recovery feedback loop. | 2 / 3 |
Progressive Disclosure | The skill is self-contained with well-organized sections and no nested or external references; given there are no bundle files and no need for them, the structure is appropriately flat and navigable. | 3 / 3 |
Total | 10 / 12 Passed |