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Enrich Lead

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.

$ npx promptcreek add enrich-lead

Auto-detects your installed agents and installs the skill to each one.

What This Skill Does

This skill enriches lead information by turning any identifier into a full contact dossier. It extracts identifiers from user input, uses Apollo to find a matching person and their company, and presents a formatted contact card. It's designed for sales teams, marketing teams, and anyone needing to gather detailed information on potential leads.

When to Use

  • Find contact information for a lead using their email.
  • Enrich a lead's profile using their LinkedIn URL.
  • Identify a lead's company and industry.
  • Gather firmographic data on a lead's company.
  • Find personal email addresses for leads.
  • Identify the correct person given a job title and company.

Key Features

Parses various lead identifiers from user input.
Uses Apollo to enrich person and company data.
Reveals personal email addresses (if available).
Presents a formatted contact card with key details.
Handles ambiguous input by searching for the correct person.
Provides company revenue and employee count.

Installation

Run in your project directory:
$ npx promptcreek add enrich-lead

Auto-detects your installed agents (Claude Code, Cursor, Codex, etc.) and installs the skill to each one.

View Full Skill Content

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 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_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:

  • Save to Apollo — Create this person as a contact via mcp__claude_ai_Apollo_MCP__apollo_contacts_create with run_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_search with q_organization_domains_list set to this company
  • Find similar people — Search for people with the same title/seniority at other companies
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Supported Agents

Claude CodeCursorCodexGemini CLIAiderWindsurfOpenClaw

Attribution

anthropics
anthropics/knowledge-work-plugins
MITadmin

Details

License
MIT
Source
admin
Published
3/18/2026

Tags

partner built

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