Content
47%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill has excellent workflow clarity with well-defined steps, convergence criteria, and error recovery paths, making it strong for guiding a complex multi-agent process. However, it is extremely verbose — explaining actor types, use case levels, and relationship types that Claude already knows, and duplicating workflow content in the agent invocation guide. The monolithic structure with inline error handling and dispatch tables undermines progressive disclosure despite good use of external template references.
Suggestions
Cut explanatory content Claude already knows: remove definitions of primary/secondary/supporting actors, use case levels (summary/user-goal/subfunction), and includes/extends relationships — just reference the terms directly.
Move the Agent Invocation Guide and Error Handling sections into separate reference files (e.g., references/agent-dispatch.md and references/error-handling.md) to reduce the main skill to its core workflow.
Eliminate duplication between the workflow steps and the agent invocation guide — the guide repeats nearly everything from Steps 2-7 in table form.
Tighten Step 2a by removing the bulleted explanations of actor types and use case levels, keeping only the extraction instructions and output format.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose at ~400+ lines. Extensively explains concepts Claude already understands (what actors are, what use case levels mean, what includes/extends relationships are). The agent invocation guide largely duplicates the workflow steps. The error handling section is exhaustive to the point of over-engineering, covering edge cases that Claude could handle with general reasoning. Many sections could be cut by 50-70% without losing actionable information. | 1 / 3 |
Actionability | The workflow steps are reasonably concrete with specific agent names, file paths, and template references. However, there is no executable code — it's all procedural prose. The agent invocation instructions are specific but rely on external templates and references that aren't provided in the bundle, making it hard to verify completeness. The skill is instruction-only, so lack of code isn't penalized, but some steps remain vague (e.g., 'perform an initial extraction' without specifying the exact output format). | 2 / 3 |
Workflow Clarity | The 8-step workflow is clearly sequenced with explicit validation checkpoints (convergence check in Step 6b with specific criteria, user review in Step 7, resume detection in Step 1). Feedback loops are well-defined: review → conflict resolution → revision → convergence check → possible second round with a hard cap at 2 rounds. Error recovery paths are thorough. | 3 / 3 |
Progressive Disclosure | The skill references external templates (use-case-template.md, use-case-index-template.md, expert-review-template.md, review-protocol.md, ensure-config.md) which suggests good structural intent, but no bundle files were provided to verify these exist. The SKILL.md itself is monolithic — the agent invocation guide and error handling sections are large inline blocks that could be separate reference files. The content would benefit from splitting the detailed error handling and agent dispatch table into referenced files. | 2 / 3 |
Total | 8 / 12 Passed |