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lead-intelligence

Gather structured B2B lead intelligence from web research and LinkedIn into a merged CSV.

53|25|Updated Jan 23, 2026
Search Tags:#linkedin#web-research#data-enrichment#b2b#csv-export#lead-intelligence
One-click install
npx skills add https://github.com/naveedharri/benai-skills --skill lead-intelligence
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lead-intelligence
Source: https://github.com/naveedharri/benai-skills/tree/main/plugins/sales/skills/lead-intelligence
Command: npx skills add https://github.com/naveedharri/benai-skills --skill lead-intelligence

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Gather deep, structured intelligence on a list of qualified B2B leads from web research and LinkedIn.

Core Features & Use Cases

  • General Lead Intelligence: parallel web research to build comprehensive lead profiles.
  • LinkedIn Lead Intelligence: profile and post scraping to augment company and contact data.
  • Use Case: enrich a lead list with signals like role, industry, company size, and recent activity for targeted outreach.

Quick Start

Provide a qualified lead list and background on what you're selling, then trigger the two-layer intelligence workflow to generate a merged CSV.

Frequently Asked Questions about lead-intelligence

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

FAQPage Schema
How do I enrich a B2B lead list with company signals and LinkedIn activity?▼

The Skill performs deep B2B lead intelligence by running parallel web research and LinkedIn scraping to gather role, industry, company size, and recent post data. It fuses these multiple data layers into a single structured CSV export for targeted outreach.

What is the best way to export enriched B2B lead profiles to a CSV?▼

The best way to export enriched B2B lead profiles is using a multi-layer data fusion workflow that merges web research and LinkedIn signals. It matches profiles with posts and provides guidance on data persistence, outputting a single merged CSV file containing all structured intelligence.

Can I use LinkedIn data to augment my existing B2B contact list?▼

Yes, you can augment an existing B2B contact list by scraping LinkedIn profiles and posts. The workflow explicitly matches data between LinkedIn profiles and recent activity, merging it with your web research to build comprehensive lead profiles.

Does this lead intelligence workflow support parallel processing for large lists?▼

Yes, the lead intelligence workflow supports parallel web research to handle large lists of qualified B2B leads efficiently. It satisfies requirements for multi-layer data fusion and explicit data matching, ensuring comprehensive profiles are built at scale.

What information do I need to provide to start gathering lead intelligence?▼

You need to provide a qualified lead list and background information on what you are selling. Triggering the two-layer intelligence workflow with these inputs generates a merged CSV containing deep, structured intelligence for your outreach.

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