Content
67%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.
The body is well-structured and highly actionable, with executable commands and clearly signaled bundle references that all resolve to real files. Its main weakness is redundancy between the Quick Start and Core Workflows sections and a somewhat inflated overview length.
Suggestions
Consolidate 'Quick Start' and 'Core Workflows' to remove the duplicated workflow steps and reduce the body length.
Add an explicit validation feedback loop for the SEO workflow (e.g., 'If SEO score <75, revise per recommendations and re-run the optimizer').
Trim or relocate the Keywords section, which pads tokens without guiding Claude's behavior.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body avoids explaining concepts Claude already knows, but the Keywords section and the overlap between 'Quick Start' and 'Core Workflows' (plus repeated script usage in 'Quick Commands') are redundant and could be tightened. | 3 / 5 |
Actionability | Concrete executable commands with full signatures (`python scripts/seo_optimizer.py blog_post.md "primary keyword" "secondary,keywords,list"`) and specific numeric targets (1-3% keyword density, 1500-2500 words, SEO score >75), with only minor vague steps like 'Research keywords for topic'. | 4 / 5 |
Workflow Clarity | Workflows are clearly numbered and sequenced with an implicit optimizer/analyzer checkpoint, but the validate-fix-rerun loop is not made explicit; no destructive or batch operation triggers the cap. | 4 / 5 |
Progressive Disclosure | Detailed material is split into real one-level-deep reference/script/asset files (all verified to exist) with a dedicated 'When to Use Each Reference' section, though the body itself is somewhat long with inline Best Practices, Metrics, and Integration sections. | 4 / 5 |
Total | 15 / 20 Passed |