1/ LITERATURE REVIEW SYNTHESIZER
Analyze these 20 research papers on [topic]. Create a gap analysis table showing: what’s been studied, what’s missing, contradictions between studies, and 3 unexplored opportunities.
2/ COMPETITIVE INTELLIGENCE SCANNER
Visit [competitor websites]. Extract: pricing tiers, feature comparisons, positioning strategy, target audience, and gaps in their offering we could exploit.
3/ SURVEY DATA PATTERN FINDER
Analyze this 500-response survey. Find patterns nobody else will catch: non-obvious correlations, minority opinions worth exploring, gaps between what people say vs. what data shows.
4/ ACADEMIC CITATION FORMATTER
Convert these rough research notes into properly formatted APA citations with 2-sentence context for each source explaining its relevance to [research question].
5/ EXPERT INTERVIEW PREP GENERATOR
Based on [person’s published research/articles], generate 15 expert-level questions for a 45-min interview. Include: technical depth questions, contrarian angles, and follow-ups that reveal insights.
6/ TREND FORECASTING ENGINE
Analyze these 50 articles from past 6 months on [industry]. Predict next 6-month trends with confidence scores (1-10). Include: what’s peaking, what’s emerging, what’s dying, contrarian bets.
7/ RESEARCH GAP IDENTIFIER
Based on these [academic papers/industry reports], what’s NOT being studied? What obvious questions are researchers avoiding? What would a contrarian researcher focus on?
8/ DATA CLEANING PROTOCOL
Analyze this dataset for: inconsistencies, outliers, missing patterns, duplicate entries, data quality issues, and potential errors. Provide specific row numbers and suggested fixes.
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