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signal-harvester-enhanced

Collect market signals from web sources into simulation-ready JSON data.

1|Updated Mar 3, 2026
Search Tags:#product validation#competitive intelligence#data collection#sentiment analysis#market signals#persona simulation
One-click install
npx skills add https://github.com/Johnnnmai/100x-product-manager --skill signal-harvester-enhanced
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: signal-harvester-enhanced
Source: https://github.com/Johnnnmai/100x-product-manager/tree/main/skills/signal-harvester-enhanced
Command: npx skills add https://github.com/Johnnnmai/100x-product-manager --skill signal-harvester-enhanced

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the collection of market signals from various web sources and transforms them into structured, simulation-ready data for persona simulation, going beyond basic research to provide actionable insights.

Core Features & Use Cases

  • Comprehensive Signal Collection: Gathers data from review platforms, social media, forums, and news sources.
  • Simulation-Ready Output: Generates structured JSON data for MiroFish/OASIS persona simulations, including attitudinal statements and competitive signals.
  • Use Case: Before launching a new AI chatbot feature, use this Skill to scrape Reddit and G2 reviews to understand user sentiment, identify key pain points, and gather specific quotes that can be used to build realistic user personas for simulation testing.

Quick Start

Use the signal-harvester-enhanced skill to collect market signals for a new AI customer support tool targeting SMBs.

Frequently Asked Questions about signal-harvester-enhanced

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I collect market signals from social media and reviews for product validation?▼

You can collect market signals from review platforms, social media, forums, and news sources by scraping diverse web sources and processing them with natural language processing. This Skill automates gathering sentiment, pain points, and quotes for product validation before feature launches.

What's the best way to generate simulation-ready JSON data from competitive intelligence?▼

The best way to generate simulation-ready JSON data from competitive intelligence is to transform scraped web sources into structured outputs including attitudinal statements and competitive signals. This Skill structures market signals into JSON data compatible with MiroFish/OASIS persona simulations.

Can I use scraped forum and review data for persona simulation testing?▼

Yes, you can use scraped forum and review data for persona simulation by structuring it into simulation-ready JSON formats with attitudinal statements and competitive signals. This Skill processes reviews, social media, and forum data to extract sentiment and themes for building realistic user personas.

Does this market signal harvester require web scraping and natural language processing capabilities?▼

Yes, harvesting market signals with this Skill requires web scraping capabilities to collect data from online sources and natural language processing for sentiment and theme extraction. These capabilities enable transforming reviews, social media, and forum data into simulation-ready JSON.

How does sentiment analysis from web sources support demand analysis for new product features?▼

Sentiment analysis from web sources supports demand analysis by extracting user attitudes and pain points from reviews and social media to identify market signals. This Skill processes diverse web data using natural language processing to provide structured insights for evaluating new product feature viability.

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