audience-generate-search

Build person audiences from plain-English briefs into measured signal stacks.

5|Updated Jun 12, 2026
One-click install
npx skills add https://github.com/wattdata/plugin --skill audience-generate-search
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: audience-generate-search
Source: https://github.com/wattdata/plugin/tree/main/skills/audience-generate-search
Command: npx skills add https://github.com/wattdata/plugin --skill audience-generate-search

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill turns a plain-English audience brief into a measurable build, so you can discover the signals behind an idea instead of manually guessing who to target.

Core Features & Use Cases

  • Audience discovery: Find the signals that define a described market or person segment, then score and assemble them into a usable audience.
  • Targeting strategies: Build for a size band, maximize credible reach, optimize for high-propensity precision, or partition the audience into the strongest clusters.
  • Graph crossing: Start from people or companies and cross the employment graph to produce qualified employers or employees for lead generation and account targeting.
  • Deterministic output: Uses a Python ranking script to sort grouped cells by lift and size so results stay auditable and repeatable.

Quick Start

Ask this skill to build an audience from a plain-English description and tell it whether you want a size band, widest reach, precision targeting, clustered groups, or employers and employees crossed from the seed audience.

Frequently Asked Questions about audience-generate-search

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

FAQPage Schema
How do I generate audience lists from a plain-English description?

Yes, employer and employee graph crossing starts from a seed audience of people or companies and crosses the employment graph to produce qualified employer or employee lists for account targeting and lead generation workflows.

What's the best way to size an audience for precision targeting?

Precision targeting for audience sizing builds measured signal stacks by sorting grouped cells using a Python ranking script, optimizing for high-propensity precision or maximum credible reach based on your specified size band requirements.

Can I partition an audience into clusters for segmentation workflows?

Audience clustering partitions a described person segment into the strongest grouped clusters using deterministic ranking. The Python helper script sorts grouped cells by lift and size, producing auditable and repeatable segmentation outputs.

Do I need remote Watt MCP access for lead generation audience discovery?

Remote Watt MCP access is required for lead generation audience discovery, as the skill relies on it to query US-only adult person data and execute deterministic signal discovery, scoring, and ranking processes.