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Enrich Lead

  • 2.2k installs
  • 23.1k repo stars
  • Updated July 28, 2026
  • anthropics/knowledge-work-plugins

enrich-lead is an agent skill that Instant lead enrichment. Drop a name, company, LinkedIn URL, or email and get the full contact card with email, phone, t.

About

Turn any identifier into a full contact dossier The user provides identifying info via ARGUMENTS 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 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 Credit warning Tell the user enrichment consumes 1 Apollo credit before calling The enrich lead agent skill provides documented workflows prerequisites triggers and safety guidance from its SKILL md source Agents load it when user requests match the description and follow step by step instructions without inventing capabilities It integrates with standard agent tooling for the tasks inputs outputs and failure modes described in the repository

  • description: "Instant lead enrichment. Drop a name, company, LinkedIn URL, or email and get the full contact card with e
  • argument-hint: "[name, company, LinkedIn URL, or email]"
  • Turn any identifier into a full contact dossier. The user provides identifying info via "$ARGUMENTS".
  • Follow enrich-lead SKILL.md steps and documented constraints.
  • Follow enrich-lead SKILL.md steps and documented constraints.

Enrich Lead by the numbers

  • 2,175 all-time installs (skills.sh)
  • +94 installs in the week ending Jul 28, 2026 (Skillselion tracking)
  • Ranked #469 of 16,659 AI & Agent Building skills by installs in the Skillselion catalog
  • Security screen: MEDIUM risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
At a glance

enrich-lead capabilities & compatibility

Capabilities
description: "instant lead enrichment. drop a na · argument hint: "[name, company, linkedin url, or · turn any identifier into a full contact dossier. · follow enrich lead skill.md steps and documented
Use cases
orchestration
From the docs

What enrich-lead says it does

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."
SKILL.md
argument-hint: "[name, company, LinkedIn URL, or email]"
SKILL.md
Turn any identifier into a full contact dossier. The user provides identifying info via "$ARGUMENTS".
SKILL.md
npx skills add https://github.com/anthropics/knowledge-work-plugins --skill enrich-lead

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Listed on Skillselion
Installs2.2k
repo stars23.1k
Security audit3 / 3 scanners passed
Last updatedJuly 28, 2026
Repositoryanthropics/knowledge-work-plugins

When should an agent use enrich-lead and what problem does it solve?

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.

Who is it for?

Developers invoking enrich-lead as documented in the skill source.

Skip if: Skip when requirements fall outside enrich-lead documented scope.

When should I use this skill?

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.

What you get

Outputs aligned with the enrich-lead SKILL.md workflow and stated deliverables.

  • contact dossier
  • verified email and phone
  • suggested next actions

Files

SKILL.mdMarkdownGitHub ↗

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

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

Related skills

Forks & variants (1)

Enrich Lead has 1 known copy in the catalog totaling 258 installs. They canonicalize to this original listing.

FAQ

What is 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.

When should I use 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.

Is enrich-lead safe to install?

Review the Security Audits panel on this page before production use.

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