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enrich-lead Skill

AI Agent SkillPythonOpen source

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. Published by anthropics in knowledge-work-plugins.

What is enrich-lead 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. Published by anthropics in knowledge-work-plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Design and media
  • Design and media use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use enrich-lead Skill

  • Use it for design and media.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: anthropics
  • Repository: anthropics/knowledge-work-plugins
  • Skill file: partner-built/apollo/skills/enrich-lead/SKILL.md

What it does

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 instructions

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 mcpclaudeaiApolloMCPapollomixedpeopleapisearch 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 mcpclaudeaiApolloMCPapollopeoplematch with all available identifiers: - firstname, lastname if name is known - domain or organizationname

Explore related resources

Frequently asked questions

What is enrich-lead?

enrich-lead is a open-source AI agent skill with Copy skill directory. 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 enrich-lead best for?

enrich-lead is best for reusing agent instructions, scripts, and references, design and media workflows.

How do I install enrich-lead?

Install or run enrich-lead using Copy skill directory. Check enrich-lead for the latest setup command.

Is enrich-lead actively maintained?

enrich-lead may need a closer maintenance check before production use.

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Stars
22,594
Forks
2,657
Last commit
9 days ago
Repository age
6 months
License
Apache-2.0

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