lead-intelligence

Scores prospects, maps warm introduction paths, and drafts channel-specific outreach messages.

Updated Mar 18, 2026
One-click install
npx skills add https://github.com/freedom909/real-estate-saas --skill lead-intelligence-freedom909
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lead-intelligence
Source: https://github.com/freedom909/real-estate-saas/tree/main/.trae/skills/lead-intelligence
Command: npx skills add https://github.com/freedom909/real-estate-saas --skill lead-intelligence-freedom909

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Finding and reaching high-value contacts usually requires expensive tools like Apollo, Clay, or ZoomInfo plus hours of manual research. This Skill replaces that stack with an agent-powered pipeline that finds prospects, scores them by relevance signals, discovers warm introduction paths through your social graph, and drafts personalized outreach. ## Core Features & Use Cases - Signal Scoring: Searches Exa and X for prospects in target verticals and ranks them with a weighted rubric covering role, industry, activity, influence, and location. - Warm Path Discovery: Maps your X and LinkedIn graph against scored targets to find mutual connections, portfolio links, and alumni paths, ranked by bridge value. - Channel-Specific Outreach: Drafts warm intro requests, cold emails, LinkedIn messages, and X DMs matched to a source-derived voice profile, with drafts created in Apple Mail when available. - Use Case: Ask for the top 20 people in prediction markets to contact, and receive a ranked list with warm intro paths, enrichment data, and ready-to-review message drafts for each lead. ## Quick Start Find the top 20 founders in AI developer tools I should reach out to and draft a personalized intro email for each one.

Frequently Asked Questions about lead-intelligence

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

FAQPage Schema
How do I find and rank leads in a specific industry?▼

Define target verticals, roles, and locations, then the signal-scorer agent searches Exa and X for matching people. Each prospect is scored 0-100 using weighted signals: role alignment 30%, industry match 25%, recent activity 20%, influence 10%, location 10%, and engagement 5%.

How to find warm introduction paths to a prospect on X or LinkedIn?▼

The mutual-mapper agent pulls your X following list and checks which of your connections also connect to each target. Paths are classified by warmth: direct mutual, portfolio connection, co-worker or alumni, event overlap, or content engagement, then ranked by bridge value.

What API credentials does lead intelligence outreach require?▼

Required credentials are an X bearer token plus X consumer key, consumer secret, access token, and access token secret, along with an Exa API key. Optional credentials include a LinkedIn cookie for browser access and an Apollo API key for enrichment cross-referencing.

Can it send outreach emails automatically?▼

No. The pipeline creates drafts only, in Apple Mail when desktop automation is available, and never sends messages without explicit user approval. This applies to email, LinkedIn messages, and X DMs alike.

What are the limitations of automated lead enrichment?▼

Enrichment only reports verified data from Exa, X, GitHub, and web sources, marking unavailable fields as not found rather than guessing. Data older than six months is flagged as stale, and thin enrichment results are marked as needing manual personalization.