Content
78%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 content is a strong, well-structured operational guide: concrete thresholds, templates, and checklists for each mode, with detail correctly offloaded to real one-level-deep reference files. Its main weaknesses are minor — a slightly padded intro, and two of three bundled scripts referenced without invocation examples or feedback loops for verification.
Suggestions
Show executable invocations for all three bundled scripts (e.g., 'python3 scripts/schema_generator.py --type HomeAndConstructionBusiness'), not just nap_checker.py, to close the actionability gap.
Add explicit validation feedback loops — e.g., 'after fixing NAP mismatches, re-run scripts/nap_checker.py and confirm the mismatch count is zero' — to lift workflow clarity to the top anchor.
Trim the role preamble and general-knowledge restatements ('NAP = Name, Address, Phone', the national-vs-local SEO comparison) to tighten token efficiency.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense with domain-specific operational data Claude cannot be assumed to know (photo pixel minimums, the 750-character description limit, directory tier table, review thresholds), but includes trimmable padding such as the role preamble ('You are a local SEO specialist...') and 'Local SEO is a different game from national SEO,' plus lines restating general knowledge ('NAP = Name, Address, Phone'). This matches the score-4 anchor (efficient with minor over-explanation) rather than score 5, where every token earns its place. | 4 / 5 |
Actionability | Guidance is highly concrete — a runnable command ('python3 scripts/nap_checker.py'), a specific tel: format ('<a href="tel:+14155550100">'), and a fully annotated service-area page template with word counts. However, only one of the three bundled scripts is shown with an actual invocation; 'Generate with scripts/schema_generator.py' and 'scripts/service_area_generator.py' are named without usage examples. This matches the score-4 anchor (mostly executable with minor gaps) rather than score 5's copy-paste-ready coverage. | 4 / 5 |
Workflow Clarity | The workflow is well sequenced: 'Before Starting' context gathering (numbered 1-5), four clearly separated modes, a pre-publish 'Neighborhood Page Uniqueness Checklist,' and defined output artifacts (audit = 'pass/fail per item + prioritized fix list'). It falls short of score 5 because there are no explicit feedback loops (e.g., re-run the NAP checker after fixes, re-verify uniqueness after edits), though the operations are low-risk enough not to trigger the destructive/batch cap. | 4 / 5 |
Progressive Disclosure | The body is a clear overview that pushes bulk detail one level deep into real, verified bundle files — full review templates and schema examples live in references/ (all three linked with descriptive labels, e.g., 'See [references/review-response-templates.md](references/review-response-templates.md) for full templates by scenario'), and the three referenced scripts all exist. Sections are well organized (Scripts and References indices at the bottom), matching the score-5 anchor for a clear overview with well-signaled one-level-deep references. | 5 / 5 |
Total | 17 / 20 Passed |