Parse ICP descriptions and generate ranked decision-maker leads with contact details.
npx skills add https://github.com/cy-wali/knowledge --skill prospect-cy-wali
Please help me install this Agent Skill. Skill: prospect Source: https://github.com/cy-wali/knowledge/tree/main/partner-built/apollo/skills/prospect Command: npx skills add https://github.com/cy-wali/knowledge --skill prospect-cy-wali
Convert a plain-English ICP description into a ranked, enriched list of decision-maker leads with emails and phone numbers for targeted outreach and faster pipeline building.
Describe your ICP in plain English and run /apollo:prospect to generate a ranked, enriched lead list.
High-intent search queries and answers about installing and using this skill.
Generating B2B leads from an ICP description involves parsing plain-English criteria to map intent, surface matching companies, and output an enriched list of decision-maker leads with contact details.
The best way to find decision-maker contact details for targeted outreach is by parsing your ICP, searching for matching B2B companies, enriching firmographic data, and ranking leads with emails and phone numbers.
Yes, you can use a plain-English ICP to build a ranked lead list. The process applies intent-to-lead mapping, company search, and enrichment to produce a sortable table of prioritized B2B contacts.
Yes, lead enrichment provides emails and phone numbers for outbound prospecting. It coordinates company search and decision-maker discovery to return a ready-to-use table of B2B contacts for faster pipeline building.
You prioritize B2B prospects from a generated contact list by applying lead ranking to the enriched output. This presents decision-makers in a sortable table, allowing rapid prioritization for targeted outreach.
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