Lead Intelligence

Replaces the Apollo/Clay/ZoomInfo stack with an agent pipeline that finds leads, scores them by signals like role fit and recent activity, ranks your mutual connections by bridge value, then drafts channel-specific outreach across email, LinkedIn, and X. The workflow is thorough: it pulls your social graph from X and LinkedIn, runs weighted scoring on who can introduce you to whom, discovers warm paths through portfolio overlaps or shared events, and enriches each lead with recent posts and company context before drafting anything. The standout piece is mutual ranking, which applies actual graph math to find the person who connects you to the most high-value targets, not just the loudest name in your network. Requires Exa and X API, works better with browser control for LinkedIn.

skills.sh installs: 3.7K
GitHub stars: 229.1K
last updated: Jul 14, 2026

View on GitHub

Install

$ npx -y skills add affaan-m/everything-claude-code --skill lead-intelligence --agent claude-code

Installs into .claude/skills of the current project.

Files

Lead Intelligence

Agent-powered lead intelligence pipeline that finds, scores, and reaches high-value contacts through social graph analysis and warm path discovery.

When to Activate

User wants to find leads or prospects in a specific industry
Building an outreach list for partnerships, sales, or fundraising
Researching who to reach out to and the best path to reach them
User says "find leads", "outreach list", "who should I reach out to", "warm intros"
Needs to score or rank a list of contacts by relevance
Wants to map mutual connections to find warm introduction paths

Tool Requirements

Required

Exa MCP — Deep web search for people, companies, and signals (web_search_exa)
X API — Follower/following graph, mutual analysis, recent activity (X_BEARER_TOKEN, plus write-context credentials such as X_CONSUMER_KEY, X_CONSUMER_SECRET, X_ACCESS_TOKEN, X_ACCESS_TOKEN_SECRET)