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Estimate pages needed for topical authority. Go/no-go decision before investing months in content.
Passed 12 of 17 test cases with the skill, and 7 of 17 without it.
and 4 more in the full report
7 fixed9 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our competitor analysis for 'HR software for dental practices' shows an average of 24 pages per competitor domain. With a 1.5x multiplier, our target is 36 pages. We currently have 0 pages. What feasibility rating tier applies?
| Checked | Without skill | With skill |
|---|---|---|
| Assigns a YELLOW feasibility rating because the moat target falls between 20 and 50 pages. | Missed | Passed |
The instructions your model reads when the skill loads.
Estimate the total content investment needed to establish topical authority in a niche. Analyzes competitors' content volume and quality to give you a go/no-go decision before investing months of work. Answers the question: "How many pages do I need to dominate this topic?"
S3: Blog & SEO — This decides what blog content to build. It's the feasibility check that saves you from starting a content strategy you can't finish.
keyword-cluster-architect to estimate effort for the planned clustersniche: string # REQUIRED — the topic to analyze
# e.g., "AI video tools", "email marketing for SaaS"
hub_keyword: string # OPTIONAL — main keyword to analyze competitors for
# Default: inferred from niche
your_current_pages: number # OPTIONAL — how many pages you already have on this topic
# Default: 0
publishing_capacity: string # OPTIONAL — "1/week" | "2/week" | "3/week" | "5/week"
# Default: "2/week"
Chaining from S3 keyword-cluster-architect: Use keyword_clusters.total_clusters and keyword_clusters.hub.keyword.
Read shared/references/seo-strategy.md for moat calculation methodology.
test cases passed, vs 7 / 17 without
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