Proprietary Data Generator
Create original surveys, benchmarks, and aggregated data nobody else has.
Install
npx skills add Affitor/affiliate-skills --skill proprietary-data-generator -g -a claude-code -y- Repository
- Affitor/affiliate-skills757
- Category
- Design
- Updated
- 16d ago
- License
- MIT
- Context cost
- Mediumabout 2,619 tokens
- Runs scripts
- No, instructions only
What it does
Create original surveys, benchmarks, and aggregated data nobody else has. Automate data collection for content moats. Triggers on: "create original data", "proprietary data", "survey design", "benchmark study", "original research", "data-driven content", "create a survey", "industry benchmark", "aggregated data", "unique data", "first-party data", "data moat", "generate research data", "create a study", "original statistics", "data nobody else has", "competitive data advantage".
Proprietary Data Generator
Create original surveys, benchmarks, and aggregated data that nobody else has. Proprietary data is the ultimate content moat, competitors can copy your writing style but they can't copy YOUR data. Automates the design and execution framework for data collection that feeds unique content angles.
Stage
S7: Automation & Scale, Generating data at scale requires automation. This skill designs the collection system, not just one data point. Creates repeatable data assets that compound over time.
When to Use
- User wants to create content that can't be replicated by competitors
- User asks about "original research", "surveys", "benchmarks", "proprietary data"
- User says "data moat", "unique data", "first-party data", "original statistics"
- After
content-moat-calculatoridentifies the need for differentiated content - User wants to build authority through data-driven content
- User wants to create linkable assets that earn backlinks naturally
Input Schema
niche: string # REQUIRED, topic area for data collection
# e.g., "AI video tools", "affiliate marketing"
data_type: string # OPTIONAL, "survey" | "benchmark" | "aggregation" | "case_study"
# Default: recommend based on niche and resources
audience_access: string # OPTIONAL, how you can reach respondents
# e.g., "email list of 500", "Reddit community", "Twitter followers"
# Default: suggest options
budget: string # OPTIONAL, "zero" | "low" ($0-100) | "medium" ($100-500) | "high" ($500+)
# Default: "zero"
goal: string # OPTIONAL, "content_moat" | "backlink_magnet" | "authority" | "lead_gen"
# Default: "content_moat"
