crm-prospect-mining

Cross-reference CRM pipeline records with LinkedIn company data to identify high-value prospects.

53|25|Updated Jan 23, 2026
One-click install
npx skills add https://github.com/naveedharri/benai-skills --skill crm-prospect-mining
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: crm-prospect-mining
Source: https://github.com/naveedharri/benai-skills/tree/main/plugins/sales/skills/crm-prospect-mining
Command: npx skills add https://github.com/naveedharri/benai-skills --skill crm-prospect-mining

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Mine high-value prospects from CRM pipeline stages (Lost, No Show, Churned, Stalled) by cross-referencing records with LinkedIn company data and comms history. Connects to any CRM, pulls records from target stages, filters out personal email domains, bulk-scrapes company sizes via Apify, and filters by the user's "high-value" definition (headcount, industry, deal size). MANDATORY TRIGGERS: "find high-value prospects", "mine my lost deals", "reactivate pipeline", "prospect mining", "CRM mining", "re-engage lost leads", "company size analysis", "headcount filter", or any request about identifying which CRM prospects are worth pursuing based on company size, industry, or intent signals.

Core Features & Use Cases

  • Cross-reference CRM records with LinkedIn company pages and comms history to identify high-value prospects across pipeline stages.
  • Filter out personal email domains to ensure leads map to actual companies.
  • Bulk-scrape company sizes via Apify and enrich records with comms history and intent signals.
  • Adapt to multiple CRMs (Attio, HubSpot, Salesforce) and varying data schemas.
  • Support discovery, extraction, enrichment, and reporting workflows with mandatory triggers.

Quick Start

Run the CRM Prospect Mining workflow to pull high-value leads from your CRM and enrich them with LinkedIn data.

Frequently Asked Questions about crm-prospect-mining

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

FAQPage Schema
How do I find high-value prospects in my CRM pipeline?

To find high-value prospects, this Skill cross-references your CRM pipeline records with LinkedIn company data and comms history. It pulls target-stage records, filters out personal email domains, and enriches leads based on headcount, industry, or deal size.

Can I mine lost deals in HubSpot to re-engage lost leads?

Yes, you can mine lost deals in HubSpot by pulling records from target stages like Lost or Churned. The Skill adapts to multiple CRMs including HubSpot, Salesforce, and Attio, extracting and enriching records for re-engagement.

How do I filter CRM contacts by company size using LinkedIn data?

You filter CRM contacts by company size by bulk-scraping LinkedIn company pages via Apify. The Skill then applies your specific headcount filters to identify prospects that match your high-value definition.

What is the best way to perform data enrichment on stalled pipeline records?

Data enrichment on stalled pipeline records is performed by cross-referencing CRM data with LinkedIn company information and comms history. This process adds intent signals and company size data to identify valuable opportunities ready for downstream workflows.

Does prospect mining work with Attio and Salesforce schemas?

Yes, prospect mining works with Attio and Salesforce schemas. The Skill adapts to varying data structures across these platforms to pull target-stage records and filter them by your high-value criteria.

Why should I filter out personal email domains during lead research?

Filtering out personal email domains during lead research ensures that extracted records map to actual companies. This step guarantees accurate company size analysis and headcount filtering when bulk-scraping LinkedIn data via Apify.