Content
82%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, highly actionable interview-and-generation workflow with explicit sequencing and a verification checkpoint. Main weaknesses are minor: some inline bulk that could be split into references and only implicit error-recovery guidance.
Suggestions
Move the per-level question banks (especially Level B's 12 items) into a references file (e.g. references/question-bank.md) and signal it from SKILL.md to improve progressive disclosure.
Add an explicit feedback loop for the verification step (e.g. 'if the user corrects an item, update it and re-confirm before generating') to strengthen workflow clarity.
Trim the small overlap between AI-strategy questions (Step 3) and the AI Product Strategy section (Step 5) to tighten conciseness.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient, assuming Claude's competence and using terse question banks and templates, but the long Level B question list and some repetition of AI-strategy items between questions and the document structure could be trimmed slightly. | 4 / 5 |
Actionability | Provides copy-paste-ready question scripts, an exact verification-echo template, a fixed document structure, and an exact fenced JSON meta block with precise file path, covering the common cases fully. | 5 / 5 |
Workflow Clarity | Steps 1-5 are clearly sequenced with an explicit Verification Echo checkpoint and confirmation loop, but error-recovery feedback is only implicit and there is no checklist for resuming interrupted interviews. | 4 / 5 |
Progressive Disclosure | Well-organized into clearly headed sections in a single self-contained file with no bundle files present; the large inline per-level question banks could arguably live in a separate reference file, leaving a minor organization gap. | 4 / 5 |
Total | 17 / 20 Passed |