How to Get Started with Lead Enrichment in Your AI Workflow

Lead Enrichment is a powerful AI agent skill that extends your assistant with new capabilities. Turn a name into a full dossier in seconds. Feed in a name + company (or email, or LinkedIn URL) and get back a rich profile with social links, bio, company intel, recent activity, and personalized talking points. Aggregates data from multiple public sources — LinkedIn, Twitter, GitHub, company websites, news — so you can skip the manual research and jump straight to personalized outreach. Your agent does the detective work while you close deals. Supports single enrichment, batch processing, and multiple output formats (JSON, Markdown, CRM-ready). Use when researching prospects, preparing for sales calls, personalizing cold outreach, or building lead lists. Pairs perfectly with trawl for autonomous lead gen → enrichment → outreach pipelines. This guide walks you through installing Lead Enrichment, configuring it for your setup, and running your first commands — so you can start getting value in minutes.

Step-by-Step Guide

1. 1

   Install Lead Enrichment: npx clawhub@latest --dir ~/.claude/skills install lead-enrichment

2. 2

   Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)

3. 3

   Type a natural language request related to marketing & growth to trigger Lead Enrichment

4. 4

   Review the output and refine your prompt for better results

5. 5

   Combine Lead Enrichment with other skills to build multi-step workflows

Example Prompts

Copy these prompts and use them with your AI agent after installing Lead Enrichment

More Use Cases for Lead Enrichment