prospect
Full ICP-to-leads pipeline. Describe your ideal customer in plain English and get a ranked table of enriched decision-maker leads with emails and phone numbers.
Install
With your agent
Install OMGSkills skill "apolloio/apollo-mcp-plugin:skills/prospect" 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/apolloio/apollo-mcp-plugin /tmp/apollo-mcp-plugin && ln -s /tmp/apollo-mcp-plugin/skills/prospect ~/.claude/skills/prospectFrom README
Prospect Go from an ICP description to a ranked, enriched lead list in one shot. The user describes their ideal customer via "$ARGUMENTS". Examples /apollo:prospect VP of Engineering at Series B+ SaaS companies in the US, 200-1000 employees /apollo:prospect heads of marketing at e-commerce companies in Europe /apollo:prospect CTOs at fintech startups, 50-500 employees, New York /apollo:prospect procurement managers at manufacturing companies with 1000+ employees /apollo:prospect SDR leaders at companies using Salesforce and Outreach Step 1 — Parse the ICP Extract structured filters from the natural language description in "$ARGUMENTS": Company filters: Industry/vertical keywords → qorganizationkeywordtags Employee count ranges → organizationnumemployeesranges Company locations → organizationlocations Specific domains → qorganizationdomainslist Person filters: Job titles → persontitles Seniority levels → personseniorities Person locations → personlocations If the ICP is vague, ask 1...