Enrich Lead

作者 anthropicsae1513ea94dc无许可证27K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库今天更新

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.

AI 生成的概览

根据姓名、公司、LinkedIn 链接或邮箱,通过 Apollo 补全线索并生成完整联系人卡片。

功能
解析姓名、公司、LinkedIn 链接或邮箱等标识信息,通过 Apollo 人员匹配定位该联系人,匹配失败时改用人员搜索。随后补全其公司信息以获取企业概况,并输出格式化的联系人卡片,包含邮箱、电话、所在地、LinkedIn 以及公司营收、融资和总部信息。最后提供后续操作选项,例如将联系人保存到 Apollo、加入序列,或查找同事与相似人员。
适用场景
当你掌握潜在客户的少量身份信息,需要整合成一份完整的联系人档案时使用。适用于销售或商务拓展调研,在触达前获取联系方式与公司背景。
运行要求
需要访问 Apollo MCP 工具(人员匹配、人员混合搜索、组织信息补全、创建联系人)以及到 Apollo 的网络连接。补全会消耗 Apollo 额度,技能要求在调用前提醒用户。仅为指令,不包含脚本。

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

来源与署名

来源:anthropics/knowledge-work-plugins位于partner-built/apollo/skills/enrich-lead提交ae1513e

许可证: 无许可证

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

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