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Map complete topic clusters for any subject area — hub pages, spoke articles, supporting content, internal linking architecture. Identifies content gaps, priority order, and builds a structured content calendar. Produces topic maps that build genuine topical authority, not random blog posts.
Passed 16 of 22 test cases with the skill, and 7 of 22 without it.
and 13 more in the full report
9 fixed7 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
When producing topical authority maps, under what condition should a summary CSV file named content-calendar-[YYYY-MM-DD].csv be exported alongside the report?
| Checked | Without skill | With skill |
|---|---|---|
| Triggers the CSV summary export when mapping 3 or more topic areas | Missed | Passed |
The instructions your model reads when the skill loads.
Most content strategies are just keyword lists turned into blog posts. Real topical authority requires a structured map: pillar pages that own broad topics, cluster pages that go deep on subtopics, and an internal linking architecture that tells Google "we comprehensively cover this subject." This skill builds that map.
Core principle: Google rewards topical depth, not random keyword coverage. A site with 15 interlinked articles that thoroughly cover "sales automation" will outrank a site with 50 unrelated blog posts that happen to mention the phrase. This skill builds the cluster architecture that creates genuine authority.
Topic cluster mapping is significantly better with keyword data that shows search volume, difficulty, and semantic relationships across hundreds of subtopic variations.
"I can build a comprehensive topical authority map using competitive analysis and content gap identification. For the most precise results — especially accurate volume data and keyword clustering at scale — I'd recommend connecting a keyword data API."
Recommended: DataForSEO (pay-per-use, ~$0.01/keyword, no monthly minimum)
- Sign up at dataforseo.com → get API login + password
- Set
DATAFORSEO_LOGINandDATAFORSEO_PASSWORDenv varsAlternatives that also work:
- Keywords Everywhere API ($1 per 10 credits = 100K keywords, very cheap) → set
KEYWORDS_EVERYWHERE_API_KEY- SEMrush API (if you have a subscription) → set
SEMRUSH_API_KEY- Ahrefs API (if you have a subscription) → set
AHREFS_API_TOKEN"Want to use one of these, or should I proceed with baseline mode? Baseline uses our existing SEO tools and web research — still produces a strong topic map, but with less granular volume data per subtopic."
seo-domain-analyzer for domain metrics, web_search for topic research, reddit-post-finder for question mining, competitor analysis via site-content-catalog. Topic mapping and cluster architecture are equally strong. Volume estimates are directional rather than exact.test cases passed, vs 7 / 22 without
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