enrich-lead
npx machina-cli add skill anthropics/knowledge-work-plugins/enrich-lead --openclawEnrich Lead
Turn any identifier into a full contact dossier. The user provides identifying info via "$ARGUMENTS".
Examples
/apollo:enrich-lead Tim Zheng at Apollo/apollo:enrich-lead https://www.linkedin.com/in/timzheng/apollo:enrich-lead sarah@stripe.com/apollo:enrich-lead Jane Smith, VP Engineering, Notion/apollo:enrich-lead CEO of Figma
Step 1 — Parse Input
From "$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_nameif name is knowndomainororganization_nameif company is knownlinkedin_urlif LinkedIn is providedemailif email is provided- Set
reveal_personal_emailstotrue
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 |
| 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:
- Save to Apollo — Create this person as a contact via
mcp__claude_ai_Apollo_MCP__apollo_contacts_createwithrun_dedupe: true - Add to a sequence — Ask which sequence, then run the sequence-load flow
- Find colleagues — Search for more people at the same company using
mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_searchwithq_organization_domains_listset to this company - Find similar people — Search for people with the same title/seniority at other companies
Source
git clone https://github.com/anthropics/knowledge-work-plugins/blob/main/partner-built/apollo/skills/enrich-lead/SKILL.mdView on GitHub Overview
Enrich Lead turns any identifier into a full contact dossier. Drop a name, company, LinkedIn URL, or email and you’ll receive a complete contact card with email, phone, title, company intel, and recommended next actions.
How This Skill Works
Enrich Lead parses the provided arguments to extract identifiers (name, company, LinkedIn URL, email, and title). It then uses Apollo APIs to match the person, consuming 1 Apollo credit, via mcp__claude_ai_Apollo_MCP__apollo_people_match with reveal_personal_emails=true. If no exact match is found, it falls back to a mixed search to present the top 3 candidates for selection, then enriches the company data with mcp__claude_ai_Apollo_MCP__apollo_organizations_enrich and formats the final contact card exactly as shown, before offering next actions.
When to Use It
- You have a LinkedIn URL and want a full contact card with email, phone, and title.
- You have a work email (or domain) and need the complete contact plus company data.
- You only know a name and title and want the top matching person to enrich.
- You need firmographic context for a company after identifying the person.
- You want to save or add the enriched contact to Apollo workflows (save to Apollo, add to a sequence).
Quick Start
- Step 1: Provide identifying input to /apollo:enrich-lead <identifier> (name, LinkedIn URL, email, etc).
- Step 2: Review the generated contact card and the suggested next actions.
- Step 3: Choose a Next Action (Save to Apollo, Add to a sequence, Find colleagues, Find similar people) and proceed.
Best Practices
- Always enable reveal_personal_emails to access personal emails if available.
- If inputs are ambiguous, rely on the top 3 candidates and select carefully before re-enriching.
- Double-check the final card formatting and fields before sharing or saving.
- Leverage the company enrichment to add industry, employee count, revenue, and HQ location for better context.
- Use the Next Actions options (save to Apollo, add to a sequence, find colleagues, find similar people) to fit your outreach workflow and deduplicate when saving.
Example Use Cases
- Input: /apollo:enrich-lead Tim Zheng at Apollo → returns Tim's full contact card with work email and phone.
- Input: /apollo:enrich-lead https://www.linkedin.com/in/timzheng → matches Tim via LinkedIn and returns the enriched card.
- Input: /apollo:enrich-lead sarah@stripe.com → provides Stripe's contact details and firmographic context.
- Input: /apollo:enrich-lead Jane Smith, VP Engineering, Notion → top matching Notion executive with company data.
- Input: /apollo:enrich-lead CEO of Figma → top 3 candidates presented for selection, then enriched with firmographics.
