Content
65%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A thorough, actionable multi-phase research workflow with strong checkpoints and templates. It is held back by monolithic inline content (no progressive disclosure) and an absent agent-failure validation loop for its batch parallel operations.
Suggestions
Extract the research-document markdown template and the PRP store resolver script into references/ or scripts/ and link to them, reducing the monolithic body.
Add a validation/feedback step after Phase 3 for handling agent failures or low-quality returns (retry, re-prompt, or mark gaps) so the batch spawn has a recovery loop.
Trim the redundant 'Critical Reminders' and 'Success Criteria' sections, which restate the per-phase checkpoints and DO/DON'T guidance.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient procedural content, but 'Critical Reminders' and 'Success Criteria' restate the phase guidance and DO/DON'T lists are repeated, so it could be tightened. | 2 / 3 |
Actionability | Provides copy-paste-ready agent prompt templates, executable bash (the PRP store resolver, git/gh commands), concrete filename patterns, and a full research-document markdown template. | 3 / 3 |
Workflow Clarity | Six clearly sequenced phases each have explicit checkpoint checklists, but parallel agent spawning is a batch operation with no failure/validation handling (e.g., what to do if an agent errors or returns poor results), which caps it at 2. | 2 / 3 |
Progressive Disclosure | Well-organized into phases, but the file is a ~380-line monolith with full document templates and the bash resolver inline and no references/scripts/assets split, so content that could be separate stays inline. | 2 / 3 |
Total | 9 / 12 Passed |