Agent skill · marketing growth · anthropics

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.

Why this skill is useful

Adds a complete executable pipeline for generating enriched lead lists based on ideal customer profiles, which the AI cannot generate from general knowledge alone.

What it needs

Requires apollo account access. About 2k tokens when loaded. Last updated 2026-08-07. 23,345 stars on the source repository.

What this skill does

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 1-2 clarifying questions before proceeding. At minimum, you need a title/role and an industry or company size. Step 2 — Search for Companies Use mcpclaudeaiApolloMCPapollomixedcompaniessearch with the company filters: qorganizationkeywordtags for industry/vertical organizationnumemployeesranges for size organizationlocations for geography Set perpage to 25 Step 3 — Enrich Top Companies Use mcpclaudeaiApolloMCPapolloorganizationsbulkenrich with the domains from the top 10 results. This reveals revenue, funding, headcount, and firmographic data to help rank companies. Step 4 — Find Decision Makers Use mcpclaudeaiApolloMCPapollomixedpeopleapisearch with: persontitles and personseniorities from the ICP qorganizationdomainslist scoped to the enriched company domains perpage set to 25 Step 5 — Enrich Top Leads Credit warning: Tell the user exactly how many credits will be consumed before proceeding. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills anthropics/prospect

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