lead-intelligence

Finds, scores, and drafts outreach to high-value contacts using social graph analysis.

Updated May 19, 2026
One-click install
npx skills add https://github.com/azusagasaku/--claude-config --skill lead-intelligence-azusagasaku
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lead-intelligence
Source: https://github.com/azusagasaku/--claude-config/tree/main/skills/ecc/lead-intelligence
Command: npx skills add https://github.com/azusagasaku/--claude-config --skill lead-intelligence-azusagasaku

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Finding the right people to contact and figuring out how to reach them is slow, manual work. This Skill replaces tools like Apollo, Clay, and ZoomInfo with an agent-driven pipeline that discovers prospects, scores them by relevance signals, maps 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 by role alignment, industry match, recent activity, influence, and location. - Warm Path Discovery: Analyzes your X and LinkedIn graph to find mutual connections and ranks them by introduction potential using a weighted bridge model. - Multi-Channel Outreach Drafting: Generates personalized emails, LinkedIn messages, and X DMs grounded in a voice profile, with optional draft creation in Apple Mail. - 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 channel-specific message drafts. ## Quick Start Find me the top 20 people in prediction markets I should reach out to, with warm intro paths and outreach drafts.

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. Mutuals are ranked by number of connections to targets, role, location, and industry, and paths are classified by warmth from direct mutual to content engagement.

What API credentials does lead intelligence outreach require?▼

It requires 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-based access and an Apollo API key for enrichment cross-referencing.

Can it send outreach emails automatically?▼

No. It creates drafts only, optionally in Apple Mail when desktop automation is available, and never sends messages without explicit user approval. The same review-first rule applies to LinkedIn and X messages drafted via browser control.

What are the limitations of social graph lead scoring?▼

Scores depend on data available from Exa, X, and LinkedIn, so sparse profiles produce low-confidence results that get flagged. The agents only report verifiable connections and mark missing data as not found rather than guessing.