enrich-lead by anthropics/knowledge-work-plugins
npx skills add https://github.com/anthropics/knowledge-work-plugins --skill enrich-lead将任何标识符转化为完整的联系人档案。用户通过 "$ARGUMENTS" 提供识别信息。
/apollo:enrich-lead Tim Zheng at Apollo/apollo:enrich-lead https://www.linkedin.com/in/timzheng/apollo:enrich-lead sarah@stripe.com/apollo:enrich-lead Jane Smith, VP Engineering, Notion/apollo:enrich-lead CEO of Figma从 "$ARGUMENTS" 中提取所有可用的标识符:
如果输入内容不明确(例如仅 "CEO of Figma"),首先使用 mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search 并应用相关的职位和域名过滤器来识别该人员,然后进行信息丰富化处理。
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积分消耗提示:在调用前告知用户信息丰富化操作将消耗 1 个 Apollo 积分。
使用 mcp__claude_ai_Apollo_MCP__apollo_people_match 并传入所有可用的标识符:
first_name、last_namedomain 或 organization_namelinkedin_urlemailreveal_personal_emails 设置为 true如果匹配失败,尝试使用 mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search 并放宽过滤器条件,展示前 3 位候选人。请用户选择一位,然后重新进行信息丰富化。
使用 mcp__claude_ai_Apollo_MCP__apollo_organizations_enrich 并传入该人员的公司域名,以获取公司背景信息。
严格按照以下格式输出:
[全名] | [职位] [公司名称] · [行业] · [员工人数] 名员工
| 字段 | 详情 |
|---|---|
| 工作邮箱 | ... |
| 个人邮箱 | ...(如果已揭示) |
| 直接电话 | ... |
| 手机 | ... |
| 公司电话 | ... |
| 所在地 | 城市,州,国家 |
| URL | |
| 公司域名 | ... |
| 公司营收 | 范围 |
| 公司融资 | 总融资额 |
| 公司总部 | 地点 |
询问用户希望执行哪个操作:
mcp__claude_ai_Apollo_MCP__apollo_contacts_create 并将 run_dedupe 设置为 true,将此人员创建为联系人mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search 并将 q_organization_domains_list 设置为该公司,搜索同一公司的更多人员每周安装量
81
代码仓库
GitHub 星标数
8.8K
首次出现
14 天前
安全审计
已安装于
codex78
opencode77
github-copilot77
kimi-cli77
gemini-cli77
amp77
Turn any identifier into a full contact dossier. The user provides identifying info via "$ARGUMENTS".
/apollo:enrich-lead Tim Zheng at Apollo/apollo:enrich-lead https://www.linkedin.com/in/timzheng/apollo:enrich-lead sarah@stripe.com/apollo:enrich-lead Jane Smith, VP Engineering, Notion/apollo:enrich-lead CEO of FigmaFrom "$ARGUMENTS", extract every identifier available:
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.
Use mcp__claude_ai_Apollo_MCP__apollo_people_match with all available identifiers:
first_name, last_name if name is knowndomain or organization_name if company is knownlinkedin_url if LinkedIn is providedemail if email is providedreveal_personal_emails to trueIf 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.
Use mcp__claude_ai_Apollo_MCP__apollo_organizations_enrich with the person's company domain to pull firmographic context.
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 |
| URL | |
| Company Domain | ... |
| Company Revenue | Range |
| Company Funding | Total raised |
| Company HQ | Location |
Ask the user which action to take:
mcp__claude_ai_Apollo_MCP__apollo_contacts_create with run_dedupe: truemcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search with q_organization_domains_list set to this companyWeekly Installs
81
Repository
GitHub Stars
8.8K
First Seen
14 days ago
Security Audits
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Installed on
codex78
opencode77
github-copilot77
kimi-cli77
gemini-cli77
amp77
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