— name: enrich-lead description: "Instant lead enrichment. Drop a name, company, LinkedIn URL, or email and get the full contact card with email, phone, title, company intel, and next actions." user-invocable: true argument-hint: "[name, company, LinkedIn URL, or email]" — # Enrich Lead Turn any identifier into a full contact dossier. The user provides identifying info via "$ARGUMENTS". ## Examples – `/apollo:enrich-lead Tim Zheng at Apollo` – `/apollo:enrich-lead https://www.linkedin.com/in/timzheng` – `/apollo:enrich-lead [email protected]` – `/apollo:enrich-lead Jane Smith, VP Engineering, Notion` – `/apollo:enrich-lead CEO of Figma` ## Step 1 — Parse Input From "$ARGUMENTS", extract every identifier available: – First name, last name – Company name or domain – LinkedIn URL – Email address – Job title (use as a matching hint) 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. ## Step 2 — Enrich the Person > **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 known – `domain` or `organization_name` if company is known – `linkedin_url` if LinkedIn is provided – `email` if email is provided – Set `reveal_personal_emails` to `true` If 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. ## Step 3 — Enrich Their Company Use `mcp__claude_ai_Apollo_MCP__apollo_organizations_enrich` with the person's company domain to pull firmographic context. ## Step 4 — Present the Contact Card 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 | | LinkedIn | URL | | Company Domain | … | | Company Revenue | Range | | Company Funding | Total raised | | Company HQ | Location | — ## Step 5 — Offer Next Actions Ask the user which action to take: 1. **Save to Apollo** — Create this person as a contact via `mcp__claude_ai_Apollo_MCP__apollo_contacts_create` with `run_dedupe: true` 2. **Add to a sequence** — Ask which sequence, then run the sequence-load flow 3. **Find colleagues** — Search for more people at the same company using `mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search` with `q_organization_domains_list` set to this company 4. **Find similar people** — Search for people with the same title/seniority at other companies