data-miner

Discover and rank data sources with verified trigger fields and join keys.

7|3|Updated Jan 20, 2026
One-click install
npx skills add https://github.com/SantaJordan/CTOx --skill data-miner
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-miner
Source: https://github.com/SantaJordan/CTOx/tree/main/skills/data-miner
Command: npx skills add https://github.com/SantaJordan/CTOx --skill data-miner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Data Miner helps you discover and rank the best data sources that prove which companies in a vertical are currently in pain (a trigger like an expiration, violation, filing, hiring, recall, or gap), then verifies the needed fields actually exist and can be joined.

Core Features & Use Cases

  • Vertical intake to precision-match signals: narrows to a single company type, a specific pain/trigger, geography, and the join key you need (domain, address, contact, etc.).
  • Discovery across 7 source categories: sweeps government, licensing boards, industry associations, maps/local data, open datasets, commercial APIs, and marketplaces to generate a strong candidate set.
  • Phase-2 verification + field confirmation: opens each candidate source to confirm the data is real, the trigger field exists, and a join key is available—no assumptions.
  • 7-criteria scoring and cheap-first ranking: ranks each verified source on Quality, Scale, Price, Freshness, Accessibility, Granularity, and Pain-signal strength, prioritizing cheap high-quality options.
  • Synthesis for copy-resistant targeting: combines 2+ sources into a defensible, pain-qualified target list using patterns like temporal correlation and threshold crossing.

Quick Start

Run /data-miner and describe your vertical, the specific trigger you care about, your target geography, and the join key you want to use.

Frequently Asked Questions about data-miner

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

FAQPage Schema
How do I find cheap data sources for lead generation that show which companies are in pain?▼

To find cheap data sources for lead generation, you can discover and rank public and commercial datasets across seven categories, verifying that trigger fields and join keys exist to build a pain-qualified target list.

What is data enrichment for GTM research and how does it verify sourcing?▼

Data enrichment for GTM research involves sweeping candidate datasets to confirm the trigger field exists and a join key is available, ensuring the sourced data is real and can be linked to your existing records.

How do I build a defensible prospecting dataset from multiple data sources?▼

You build a defensible prospecting dataset by synthesizing two or more verified sources into a pain-qualified target list, using patterns like temporal correlation and threshold crossing to create copy-resistant targeting.

Can I use web verification to confirm trigger fields exist in commercial APIs before sourcing?▼

Yes, web verification opens each candidate source to confirm the data is real, verifies the specific trigger field exists, and checks that a required join key like domain or address is available.

What's the best way to score and rank data sources for a sales workflow?▼

The best way to score data sources for a sales workflow is ranking each verified option on seven criteria: Quality, Scale, Price, Freshness, Accessibility, Granularity, and Pain-signal strength, prioritizing cheap high-quality options first.

Pain signal sourcing not working with generic company lists, what should I use instead?▼

When generic company lists fail to reveal pain signals, you should discover specific datasets across government, licensing boards, and industry associations that expose triggers like violations, filings, or expirations.