Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured skill with clear workflow sequencing, good progressive disclosure, and efficient use of tokens. Its main weakness is incomplete actionability around the subagent spawning mechanism—the most critical step (step 2) lacks a concrete, executable example of the `runSubagent` call and prompt construction. The bash consolidation example is helpful but the deduplication/annotation logic remains abstract.
Suggestions
Add a concrete, executable example of the `runSubagent` invocation in step 2, showing the actual prompt structure and parameters passed to each reviewer.
Provide a brief code snippet or pseudocode for the deduplication and '(N/3 reviewers)' annotation logic in step 4, rather than just describing it.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is lean and efficient. It avoids explaining what code review is, what majority voting means, or other concepts Claude already knows. Every section serves a clear purpose with no padding or unnecessary context. | 3 / 3 |
Actionability | The procedure is fairly concrete with specific file paths, output sections, and a bash example for counting verdicts. However, the critical step 2 (spawning subagents via `runSubagent`) lacks executable detail—no example of the actual subagent invocation or prompt template is provided. The consolidation logic is partially shown in bash but the deduplication/annotation step is described rather than demonstrated. | 2 / 3 |
Workflow Clarity | The 7-step procedure is clearly sequenced with explicit validation (step 1 validates scope), a hard gate at step 7 for logging/verification, and clear error recovery guidance (on BLOCK: change work and re-run; after 3 BLOCKs: dispute protocol). The feedback loop for BLOCK verdicts is well-defined. | 3 / 3 |
Progressive Disclosure | The skill provides a clear overview with well-signaled one-level-deep references to related resources (panel-report.template.md, REFERENCE.md for weighted variant, observability-logging skill, team-lead-reference skill). Content is appropriately split between the main procedure and referenced materials. | 3 / 3 |
Total | 11 / 12 Passed |