skill-content-gap-analysis · Blue-Ocean Topic Discovery
A skill that scans content supply and user demand across social platforms to surface blue-ocean topics: it cross-validates three demand signals (platform trending lists, search suggestions, unmet comment-section demand) against competitor coverage, then outputs a priority-ranked topic list.
Core principle: demand validation first — "nobody's doing it" is not blue ocean; only whitespace backed by real demand signals qualifies. Weakly covered topics can be better than empty ones. Each topic ships with recommended platforms, formats, and 3–5 quick-win items.
Example invocation: "What blue-ocean topics exist in the home-organization niche?"
Full brief
Positioning
skill-content-gap-analysis is a niche-level topic radar: it scans content supply and user demand for a target niche on social platforms to find "strong demand, weak coverage" blue-ocean topics. It does supply-demand cross-validation — not a glance at what's empty.
Core capabilities
- Three-signal demand validation: platform trending lists (real-time via hotlist APIs), search suggestions (long-tail demand mining), and unmet comment-section demand (recurring questions and complaints under popular posts) — all three required.
- Competitor coverage mapping: maps competitors' topic coverage to find blind spots (demand without coverage) and quality dips (covered but poorly).
- Competition assessment: separates true blue ocean (few results, poor quality, no top creators) from red ocean (abundant quality coverage) from pseudo-blue-ocean (little content because little demand).
- Per-platform evaluation: the same topic can face very different competition on different platforms.
- Weighted ranking: demand strength 30%, competition gap 25%, niche fit 20%, production cost 15%, timing value 10%.
- Format matching: best format per topic and platform (graphics, short video, mid-length video, etc.).
Workflow
- Collect real-time trends: platform hotlist APIs, filter niche-relevant topics
- Mine search suggestions: classify by intent (learning, decision, problem-solving, discovery)
- Scan comment sections: top questions and pain points under popular posts
- Analyze competitor coverage: coverage map, blind spots, quality dips
- Assess competition: blue / red / pseudo-blue
- Match formats: per topic and platform
- Rank: weighted scoring
- Deliver: tiered topic list + 3–5 quick-win actions
Inputs & outputs
| Input | Notes |
|---|---|
| Niche / field | Required — e.g. home organization, Python tutorials |
| Target platforms | Optional — all platforms by default |
| Competitor accounts | Optional — 2–5 creators in the niche |
| Your published directions | Optional — for gap comparison |
Output: a tiered blue-ocean list (high / medium / watchlist), demand-signal sources, competitor blind spots, format recommendations, and a quick-win list (3–5 topics actionable this week, each with a concrete angle).
Boundaries with adjacent skills
- skill-competitor-analysis: deconstructs specific competitors' content strategies; this skill finds blue-ocean whitespace from niche supply-demand cross-validation.
Fit
- Before entering a new niche: see where the demand whitespace is
- When topics run dry: find differentiated new angles
- When judging whether a topic is worth pursuing (true blue ocean or pseudo)
Before you start
- Name the niche; a competitor list (2–5 accounts) sharpens coverage analysis, otherwise top-account sampling is used.
- With a profile, the scan focuses on your actual platforms and matches your positioning and preferred formats.
- No API key or fees; trending data comes from public APIs.
skill-content-gap-analysis is part of the Aiglade Skill library. Invoke it from the Aiglade chat box in plain language.