Content
57%Reviews 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 reasonably actionable with concrete thresholds, but it lacks executable code and validation feedback loops, and is a monolithic document with no progressive disclosure to supporting files.
Suggestions
Replace the dated Scaled Content Abuse narrative with a concise policy-risk note; move specifics to a dated reference only if needed.
Add a validate→fix→retry feedback loop for batch page generation (e.g., generate → audit uniqueness → fix → re-audit before publish).
Split detailed checklists or threshold tables into referenced reference files so SKILL.md stays an overview with one-level-deep navigation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and well-structured, but the "Scaled Content Abuse" section retells Google policy history and dated enforcement events (June 2025, August 2025, 45% reduction) that adds context Claude largely already knows. | 2 / 3 |
Actionability | Gives concrete thresholds, URL patterns, and quality-gate tables, but offers no executable code or commands — guidance is instructional rather than copy-paste ready, which is appropriate yet incomplete. | 2 / 3 |
Workflow Clarity | Sections are logically sequenced (data → template → URL → linking → thin content → canonical → sitemap → index bloat) with quality gates and a HARD STOP, but there is no validate→fix→retry feedback loop for batch generation operations. | 2 / 3 |
Progressive Disclosure | Well-organized into clear sections, but it is a single monolithic SKILL.md with no referenced bundle files and no navigation out to deeper materials. | 2 / 3 |
Total | 8 / 12 Passed |