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From apollo
Instant lead enrichment for MSApps sales. Drop a name, company, LinkedIn URL, or email and get the full contact card with email, phone, title, company intel, MSApps relevance assessment, and next actions.
npx claudepluginhub msapps-mobile/claude-plugins --plugin apolloHow this skill is triggered — by the user, by Claude, or both
Slash command
/apollo:enrich-leadThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Turn any identifier into a full contact dossier with MSApps relevance scoring. The user provides identifying info via "$ARGUMENTS".
Enriches leads from names, companies, LinkedIn URLs, or emails using Apollo APIs. Provides contact details, company intel, formatted cards, and next actions like saving or finding colleagues.
Finds company and contact data from 150M+ companies and 800M+ professionals. Build lead lists, research prospects, and identify talent using 50+ data sources.
Automates Apollo.io lead generation: search organizations, discover contacts, enrich prospect data, manage stages, and build outreach lists via natural language through Composio MCP.
Share bugs, ideas, or general feedback.
Turn any identifier into a full contact dossier with MSApps relevance scoring. The user provides identifying info via "$ARGUMENTS".
MSApps is a boutique Israeli full-stack & mobile development company (est. 2010, ~40 team, 100% Israeli). Services: mobile apps, web apps, IoT, AI integration, outsourcing & team augmentation. Key verticals: automotive, fintech, healthtech, retail, cybersecurity, proptech, enterprise.
Notable clients: Phoenix, Union Motors (Toyota/Lexus/Geely/Zeekr), Assuta, Fox Group (Dream Card), Cynet, Riskified, Theranica, Isracard, Wolf Guard, AppCharge, AiOmed, Viventium.
/apollo:enrich-lead Orr Danon at Hailo/apollo:enrich-lead https://www.linkedin.com/in/someone/apollo:enrich-lead CEO of Wiz/apollo:enrich-lead Ronni Zehavi, HiBob/apollo:enrich-lead michal@somecompany.comFrom "$ARGUMENTS", extract every identifier available:
If the input is ambiguous (e.g. just "CEO of Figma"), first use mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search with relevant title and domain filters to identify the person, then proceed to enrichment.
Credit warning: Tell the user enrichment consumes 1 Apollo credit before calling.
Use mcp__claude_ai_Apollo_MCP__apollo_people_match with all available identifiers:
first_name, last_name if name is knowndomain or organization_name if company is knownlinkedin_url if LinkedIn is providedemail if email is providedreveal_personal_emails to trueIf the match fails, try mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search with looser filters and present the top 3 candidates. Ask the user to pick one, then re-enrich.
Use mcp__claude_ai_Apollo_MCP__apollo_organizations_enrich with the person's company domain to pull firmographic context.
Format the output exactly like this:
[Full Name] | [Title] [Company Name] · [Industry] · [Employee Count] employees
| Field | Detail |
|---|---|
| Email (work) | ... |
| Email (personal) | ... (if revealed) |
| Phone (direct) | ... |
| Phone (mobile) | ... |
| Phone (corporate) | ... |
| Location | City, State, Country |
| URL | |
| Company Domain | ... |
| Company Revenue | Range |
| Company Funding | Total raised |
| Company HQ | Location |
Based on the enriched data, provide a brief assessment:
Based on the enrichment data, suggest which MSApps message template would work best for this lead:
Ask the user which action to take:
mcp__claude_ai_Apollo_MCP__apollo_contacts_create with run_dedupe: truemcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search with q_organization_domains_list set to this company