From apollo
Full ICP-to-leads pipeline for MSApps. Describe your ideal customer in plain English — or pick from MSApps' proven segments — and get a ranked table of enriched decision-maker leads with emails and phone numbers.
npx claudepluginhub msapps-mobile/claude-plugins --plugin apolloThis skill uses the workspace's default tool permissions.
Go from an ICP description to a ranked, enriched lead list in one shot. The user describes their ideal customer via "$ARGUMENTS".
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Go from an ICP description to a ranked, enriched lead list in one shot. The user describes their ideal customer via "$ARGUMENTS".
MSApps is a boutique Israeli full-stack & mobile development company founded in 2010 by Michal Shatz. ~40 developers, designers, PMs — 100% Israeli team (no offshore). Core services: mobile apps (iOS/Android/React Native/Flutter), complex web applications, IoT & smart systems, AI integration, outsourcing & team augmentation, and consulting.
Key clients: Phoenix (insurance), Union Motors (Toyota/Lexus/Geely/Zeekr apps), Assuta Hospital (IVF app), Fox Group (Dream Card loyalty), Cynet (cybersecurity), Riskified, Theranica (MedTech), Isracard, Wolf Guard (security), AppCharge, AiOmed, Viventium (HR/Payroll).
Key differentiators: 100% Israeli team, 15+ years experience, end-to-end service (ideation → maintenance), senior+junior model for quality at competitive cost, "we don't disappear after launch", AI integration capabilities.
When the user doesn't specify a detailed ICP, suggest these segments that MSApps actively targets:
MSApps targets clients globally, with focus on three regions:
When the user doesn't specify a location, search across all three regions. The user can narrow to a specific region or country at any time.
/apollo:prospect CTOs at FinTech startups in the US, Series A+, 50-500 employees/apollo:prospect VP Engineering at cybersecurity companies in Europe, 100-1000 employees/apollo:prospect CEOs at MedTech startups (searches US, Europe & Israel by default)/apollo:prospect Heads of Digital at retail chains in the UK and Germany/apollo:prospect CTOs at PropTech companies in Israel, 30-300 employees/apollo:prospect segment: automotive, US only/apollo:prospect segment: fintech (searches all default regions)Extract structured filters from the natural language description in "$ARGUMENTS":
Company filters:
q_organization_keyword_tagsorganization_num_employees_rangesorganization_locations (default: United States, Europe, Israel — narrow if user specifies a region)q_organization_domains_listPerson filters:
person_titles (default targets: CEO, CTO, VP Engineering, VP R&D, VP IT, Head of Digital, CIO)person_seniorities (default: c_suite, vp, director)person_locationsIf the user names a segment (e.g., "segment: fintech" or just "fintech"), map it to the corresponding filters from the MSApps Proven Target Segments above.
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.
Use mcp__claude_ai_Apollo_MCP__apollo_mixed_companies_search with the company filters:
q_organization_keyword_tags for industry/verticalorganization_num_employees_ranges for sizeorganization_locations for geographyper_page to 25Use mcp__claude_ai_Apollo_MCP__apollo_organizations_bulk_enrich with the domains from the top 10 results. This reveals revenue, funding, headcount, and firmographic data to help rank companies.
Use mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search with:
person_titles and person_seniorities from the ICPq_organization_domains_list scoped to the enriched company domainsper_page set to 25Credit warning: Tell the user exactly how many credits will be consumed before proceeding.
Use mcp__claude_ai_Apollo_MCP__apollo_people_bulk_match to enrich up to 10 leads per call with:
first_name, last_name, domain for each personreveal_personal_emails set to trueIf more than 10 leads, batch into multiple calls.
Show results in a ranked table:
| # | Name | Title | Company | Employees | Revenue | Phone | MSApps Fit |
|---|
MSApps Fit scoring (considers relevance to MSApps services):
Summary: Found X leads across Y companies. Z credits consumed.
Ask the user:
mcp__claude_ai_Apollo_MCP__apollo_contacts_create with run_dedupe: true for each lead/apollo:enrich-lead on any person from the list for full details