Content
75%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, command-first skill body with a clear 5-step workflow and appropriate offloading of detail to reference files. The main weaknesses are inlined boilerplate templates Claude could generate itself, advisory rather than executable platform tips, a missing validate-fix-retry feedback loop, and one broken plus one orphaned reference path.
Suggestions
Trim or move the standard Open Graph/Twitter Card meta-tag boilerplate and the schema.org FAQPage JSON-LD skeleton into references/schema-templates.md (which already exists), keeping only the skill-specific placeholders and decisions in SKILL.md.
Fix navigation: either create the missing examples/opc-skills-case-study.md file or remove its link, and link the orphaned references/google-docs-summary.md from the References section so all bundle files are discoverable.
Add an explicit feedback loop in Step 5, e.g., 'If schema validation fails, fix the JSON-LD errors and re-run the validator before generating the final report,' to close the validate → fix → re-validate cycle.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient — dense tables (GEO method boosts), ready commands, and checklists rather than prose explanations. However, it inlines boilerplate Claude already knows: the full Open Graph/Twitter Card meta-tag template and the standard schema.org FAQPage JSON-LD skeleton. Fits anchor 4 (efficient, minor over-explanation to trim), not anchor 5 where every token earns its place. | 4 / 5 |
Actionability | Mostly executable guidance: concrete commands ("python3 scripts/seo_audit.py", curl checks for robots.txt and sitemap), WebSearch query templates, validator URLs, and a report template. The referenced script exists in the bundle. Some platform-specific guidance is advisory rather than executable ("Build backlinks", "Update content within 30 days", "Ensure Bing indexing"), which keeps it below the fully copy-paste-ready coverage of anchor 5. | 4 / 5 |
Workflow Clarity | A clear 5-step sequence (Audit → Keyword Research → GEO → Traditional SEO → Validate & Monitor) with checklists and a dedicated validation step (Rich Results Test, Schema.org validator, indexing checks). Minor gaps: no explicit fix-and-revalidate feedback loop after validation failures, and the keyword-research step has no verification of findings. Anchor 4 (clear sequence, most checkpoints) rather than anchor 5 (explicit feedback loops). | 4 / 5 |
Progressive Disclosure | Good structure: SKILL.md serves as an overview with one-level-deep, well-signaled references (geo-research.md, schema-templates.md, platform-algorithms.md, seo-checklist.md, tools-and-apis.md) that all exist in the bundle. Two minor organization issues: the link to examples/opc-skills-case-study.md is broken (no examples/ directory exists), and references/google-docs-summary.md is present in the bundle but never referenced from SKILL.md. Anchor 4 (good structure, minor gaps) rather than anchor 5. | 4 / 5 |
Total | 16 / 20 Passed |