AutoGineer
Generated banner for Enrich Lead
Generated logo for Enrich Lead

Enrich Lead

AnthropicOfficialCreated by Apollo.ioDistributed by Anthropic

  • Skill
  • Tool integration
  • Business and productivity
  • MIT
  • No issues found
Download ZIP

From the author

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.
— the description by Apollo.io

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The Enrich Lead skill streamlines the sales prospecting process by converting partial contact information—such as a name, email, or LinkedIn URL—into a detailed professional profile. It leverages Apollo integration to perform deep lookups, retrieving contact details, personal and work emails, and company-level intelligence. The skill guides the user through a structured enrichment process, ensuring data accuracy before presenting a formatted contact card and offering immediate follow-up actions like saving to a CRM or adding to outreach sequences.

What it does

  • Parses partial input identifiers to identify specific individuals and companies.
  • Performs automated person and organization enrichment using Apollo data.
  • Generates a standardized contact card containing professional and firmographic details.
  • Provides options to save contacts directly to Apollo with deduplication.
  • Facilitates lead expansion by finding colleagues or similar profiles.
  • Integrates with outreach sequences for immediate sales workflow activation.

When to use it

  • When you have limited contact information and need to build a full lead profile.
  • Before initiating sales outreach to ensure you have verified contact details.
  • When you need to gather firmographic context on a prospect's company.
  • When you want to quickly add a qualified lead to an existing sales sequence.

Advantages

  • Reduces manual research time by automating data retrieval.
  • Ensures consistent lead formatting for better CRM hygiene.
  • Provides actionable next steps directly within the enrichment workflow.
  • Handles ambiguous inputs by offering candidate selection when necessary.

Usage examples

“enrich-lead [email removed]”
The agent retrieves Sarah's full professional profile, including her title, company details, and contact information, then presents a formatted dossier.
“enrich-lead CEO of Figma”
The agent searches for the CEO of Figma, presents the top candidates for confirmation, and then enriches the selected profile.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/anthropics/enrich-lead/download

  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip enrich-lead.zip -d .agents/skills

Documentation by Apollo.io

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

FieldDetail
Email (work)...
Email (personal)... (if revealed)
Phone (direct)...
Phone (mobile)...
Phone (corporate)...
LocationCity, State, Country
LinkedInURL
Company Domain...
Company RevenueRange
Company FundingTotal raised
Company HQLocation

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

Files

ATTRIBUTION.md

Attribution

This folder is an unmodified copy of the Agent Skill "enrich-lead", distributed by AutoGineer (https://autogineer.com/agent-skills).

The skill's own files are unmodified copies. AutoGineer is not affiliated with or endorsed by the author or the publisher.

Files added by AutoGineer

  • ATTRIBUTION.md: this file, written by AutoGineer

  • LICENSE: copied from partner-built/apollo/LICENSE

Requirements and compatibility

Written for: Claude Code, Claude apps

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Claude Code frontmatter, Needs an MCP server

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
Apollo.io
Publisher
Anthropic (Official)
Distributed by
Anthropic
Source
anthropics/knowledge-work-plugins · partner-built/apollo/skills/enrich-lead · commit e050c2e
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from partner-built/apollo/LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by Apollo.io or Anthropic.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download enrich-lead.zip