Enrich Lead
OfficialFreeInstantly enrich leads with detailed contact information.
Free · Opens the source repo
What Enrich Lead does
Enrich Lead is a skill designed for professionals who need to quickly gather comprehensive information about potential contacts. By providing a name, email, LinkedIn URL, or company title, users can obtain a detailed contact card that includes essential details such as email addresses, phone numbers, job titles, and company information. This skill streamlines the lead enrichment process, making it easier for sales teams, recruiters, and marketers to gather the data they need to make informed decisions.
The process begins with the user inputting identifying information through the $ARGUMENTS parameter. The skill intelligently parses this input to extract relevant identifiers, including first names, last names, company names, LinkedIn profiles, and email addresses. If the input is ambiguous, it employs an API search to identify the individual before proceeding to enrich the data. This ensures that users receive accurate and relevant information.
Once the identifiers are extracted, the skill utilizes the Apollo API to enrich the contact's details. It retrieves not only personal contact information but also firmographic data about the individual’s company, providing context that can be invaluable for outreach efforts. The final output is presented in a structured contact card format, which makes it easy for users to review and utilize the information.
After enrichment, users are offered actionable next steps, such as saving the contact to Apollo, adding them to a sequence, or finding colleagues at the same company. This functionality enhances productivity by allowing users to seamlessly integrate enriched data into their workflows, making it an ideal tool for anyone involved in lead generation and management.
When to use it
Use this skill when you need to quickly enrich leads with comprehensive contact details for effective outreach.
When not to use it
This skill may not be suitable for situations requiring extensive background checks or detailed personal history beyond basic contact information.
What you can build with it
Sales Outreach
Quickly enrich potential leads before reaching out to ensure you have the right contact information.
Recruitment
Gather detailed profiles of candidates from minimal information to streamline the hiring process.
Market Research
Enrich company contacts to gain insights into industry players and their roles.
How to install Enrich Lead
View source1. Install with the skills CLI
npx skills add anthropics/knowledge-work-plugins/enrich-lead --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by anthropicsEnrich 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
Frequently asked questions about Enrich Lead
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