# Proprietary Data Generator

Create original surveys, benchmarks, and aggregated data nobody else has.

- Repository: https://github.com/Affitor/affiliate-skills (757 stars)
- Category: Design
- License: MIT
- Last updated: 2026-10-19
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add Affitor/affiliate-skills --skill proprietary-data-generator -g -a claude-code -y`
Codex: `npx skills add Affitor/affiliate-skills --skill proprietary-data-generator -g -a codex -y`
Cursor: `npx skills add Affitor/affiliate-skills --skill proprietary-data-generator -g -a cursor -y`
Gemini CLI: `npx skills add Affitor/affiliate-skills --skill proprietary-data-generator -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add Affitor/affiliate-skills`

## Description

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".

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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-calculator` identifies 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

```yaml
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"
```

The rest: https://github.com/Affitor/affiliate-skills/blob/HEAD/skills/automation/proprietary-data-generator/SKILL.md