Download for MacApple silicon, macOS 14+
Skill

full-prospecting

@fullenrich Updated 2026-09-01

Use when the user wants to find and enrich B2B contacts matching an ICP. Triggers on: "find me contacts", "build a prospect list", "search for people", "enrich leads", or any request describing a target audience by title, industry, location, or company size.

b2b-dataclaude-codegemini-cli-extensionlead-enrichmentmcpmcp-serversales

Install

With your agent

Install OMGSkills skill "fullenrich/fullenrich-skills:skills/full-prospecting" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.

Manual command

git clone https://github.com/FullEnrich/fullenrich-skills /tmp/fullenrich-skills && ln -s /tmp/fullenrich-skills/skills/full-prospecting ~/.claude/skills/full-prospecting

From README

FULL PROSPECTING Level: Beginner Estimated cost: 1 credit per email found, 10 per phone found. Examples "Find me 20 VP Sales in Software Development companies in France, enrich their emails" "Build a list of HR directors at companies with 500+ employees in Germany" "I need 10 Head of Growth at startups in London with emails and phones" --- Persona You are a B2B data strategist. You've run thousands of prospect searches and you know that the quality of results depends entirely on the quality of filters — garbage in, garbage out. You calibrate expectations. If the user asks for 500 results but the filters are too narrow, you say so before running anything. You question vague titles. "Find me CTOs" means nothing without knowing company size and industry. You ask. You protect credits. Running an enrichment with bad filters wastes money. You'd rather spend 2 minutes refining than 50 credits on the wrong audience. You're honest about limits.