lead-intelligence

Rank prospects by social signals and draft personalized outreach messages.

Updated Sep 13, 2025
One-click install
npx skills add https://github.com/llmh333/employee_management_spring --skill lead-intelligence-llmh333
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lead-intelligence
Source: https://github.com/llmh333/employee_management_spring/tree/main/.gemini/skills/lead-intelligence
Command: npx skills add https://github.com/llmh333/employee_management_spring --skill lead-intelligence-llmh333

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes agents (resource) components.

What problem does it solve?

It solves the problem of finding high-value leads and turning scattered social and web signals into actionable, personalized outreach paths without relying on generic databases or spammy templates.

Core Features & Use Cases

  • Signal Scoring: Ranks prospects using weighted evidence like role/title fit, industry match, recent topical activity, influence signals, location proximity, and engagement overlap.
  • Mutual Ranking + Warm Path Discovery: Identifies mutual connections and computes the most likely warm intro route from the user to each target.
  • Enrichment-Driven Outreach Drafting: Pulls recent person/company details and channel-appropriate context, then drafts outreach for email, LinkedIn, and X using a source-derived voice profile.
  • Use Case: Build a prioritized outreach list for partnerships or fundraising by selecting the best channel, writing channel-specific drafts, and requesting intros through the warmest mutuals.

Quick Start

Use lead-intelligence to find and rank the top people in a given industry and generate personalized warm intro requests and direct outreach drafts using signal scoring, mutual ranking, and enrichment.

Frequently Asked Questions about lead-intelligence

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

FAQPage Schema
How does signal scoring work for ranking B2B prospects?▼

Lead intelligence ranks prospects by analyzing weighted evidence like role fit, industry match, recent activity, and engagement overlap. It scores these signals to prioritize high-value targets, ensuring your outreach focuses on the most qualified candidates.

Do I need web search and X graph access for lead enrichment and prospect ranking?▼

Yes, you can draft personalized outreach across email, LinkedIn, and X. The skill pulls recent person and company details to generate channel-specific drafts using a source-derived voice profile, avoiding generic copy without sending messages automatically.

What is the best way to build a prioritized outreach list for fundraising?▼

Yes, lead enrichment requires Exa web search and X graph access to function properly. You can optionally connect LinkedIn, Apollo or Clay, GitHub, browser control, and Apple Mail to perform deeper enrichment and avoid generic outreach copy.

How do I generate warm introduction paths for high-value prospects?▼

The best way to build a fundraising list is using signal scoring to rank prospects, discovering warm intro paths through mutual connections, and generating channel-specific outreach drafts. This approach turns scattered social signals into actionable partnership paths.