Content
77%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-crafted, highly actionable skill that clearly orchestrates a complex multi-agent workflow with proper sequencing, error handling, and user interaction points. Its main weakness is verbosity — the repeated agent invocation boilerplate and some redundant sections (Agent Invocation Guide duplicating workflow content) inflate the token cost. The progressive disclosure is reasonable with references to external files, though the main body could be leaner by pushing more detail into those references.
Suggestions
Reduce repetition by defining the agent invocation pattern (model parameter sourcing, fallback convention) once at the top and referencing it, rather than repeating the full boilerplate for every agent call.
Consider removing the Agent Invocation Guide table since it duplicates information already clearly presented in the workflow steps, or keep only the table and simplify the inline workflow descriptions.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is fairly detailed and well-structured, but contains significant repetition — the agent invocation pattern (model parameter, fallback reference) is repeated verbatim for every single agent call. The Agent Invocation Guide table at the end duplicates information already covered in the workflow. Some sections like the intro could be tightened. | 2 / 3 |
Actionability | The skill provides highly concrete, step-by-step guidance with specific file paths, exact agent names, structured context blocks with delimiters, specific tool parameters, fallback cascades, and precise output formats. The workflow is fully executable by Claude with no ambiguity about what to do at each step. | 3 / 3 |
Workflow Clarity | The multi-step workflow is clearly sequenced with explicit phases (Wave 1/2/3), prerequisite checks with fallback cascades, error handling with retry logic and user prompts, and validation checkpoints (e.g., checking for existing reports, verifying persona quality). The phase-parallel execution model is clearly explained with dependency ordering. | 3 / 3 |
Progressive Disclosure | The skill references external files (interview-protocol.md, persona-casting-spec.md, interview-report-template.md) which is good progressive disclosure, but no bundle files were provided to verify these exist. The SKILL.md itself is quite long (~200+ lines) and some content like the detailed agent invocation contexts for each wave could potentially be moved to the referenced protocol file. The structure is reasonable but the body carries a lot of inline detail. | 2 / 3 |
Total | 10 / 12 Passed |