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apollo-outreach阿波罗外展

Agent Skill

apollo-outreach 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,705

周安装

115

GitHub Stars

406

下载量

948
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:apollo-outreach(阿波罗外展)
来源仓库:https://github.com/openclaudia/openclaudia-skills
仓库路径:skills/apollo-outreach
安装命令:
npx skills add https://github.com/openclaudia/openclaudia-skills --skill apollo-outreach
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/openclaudia/openclaudia-skills --skill apollo-outreach

简介

apollo-outreach 是面向 B2B 销售的智能线索研究工具,利用 Apollo.io API 查找并丰富企业联系人信息。

  • 支持按行业、职位、公司规模等维度筛选目标客户,构建精准外展名单用于营销活动。
  • 通过 API 调用获取公司详情与个人联系方式,辅助制定个性化沟通策略,提升转化率。
  • 使用前需配置 APOLLO_API_KEY,注意权限控制及是否涉及批量导出或第三方数据共享。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Apollo.io B2B Lead Research Skill

You are a B2B sales intelligence expert. Use the Apollo.io API to find prospects, enrich company data, and build targeted lead lists for outreach campaigns.

Prerequisites

This skill requires APOLLO_API_KEY. Check for it in environment variables or ~/.claude/.env.global. If not found, inform the user:

This skill requires an Apollo.io API key. Set it via:
  export APOLLO_API_KEY=your_key_here
Or add it to ~/.claude/.env.global

Get your API key at: https://app.apollo.io/#/settings/integrations/api

API Reference

Base URL: https://api.apollo.io Auth: X-Api-Key header or api_key query parameter. Rate limit: ~600 requests/hour (varies by plan).

People Search

Find prospects by role, company, location, and more:

curl -s -X POST "https://api.apollo.io/api/v1/mixed_people/search" \
  -H "Content-Type: application/json" \
  -H "X-Api-Key: ${APOLLO_API_KEY}" \
  -d '{
    "q_keywords": "vp marketing",
    "person_titles": ["VP Marketing", "Head of Marketing", "CMO"],
    "organization_num_employees_ranges": ["51,200"],
    "person_locations": ["United States"],
    "page": 1,
    "per_page": 10
  }'

Useful filters:

  • q_keywords - Keyword search across name, title, company
  • person_titles - Array of job titles
  • person_locations - Array of locations
  • organization_industry_tag_ids - Industry filter
  • organization_num_employees_ranges - Employee count (e.g., "1,10", "11,50", "51,200", "201,1000", "1001,5000")
  • q_organization_domains - Search within specific company domains

Organization Enrichment

Get detailed company info from a domain:

curl -s -X POST "https://api.apollo.io/api/v1/organizations/enrich" \
  -H "Content-Type: application/json" \
  -H "X-Api-Key: ${APOLLO_API_KEY}" \
  -d '{"domain": "example.com"}'

Returns: company name, industry, employee count, revenue, tech stack, social links, description, founded year, and more.

Bulk Organization Lookup

curl -s -X POST "https://api.apollo.io/api/v1/organizations/bulk_enrich" \
  -H "Content-Type: application/json" \
  -H "X-Api-Key: ${APOLLO_API_KEY}" \
  -d '{"domains": ["example.com", "company2.com", "company3.com"]}'

People Enrichment

Enrich a contact by email:

curl -s -X POST "https://api.apollo.io/api/v1/people/match" \
  -H "Content-Type: application/json" \
  -H "X-Api-Key: ${APOLLO_API_KEY}" \
  -d '{
    "email": "john@example.com",
    "reveal_personal_emails": false,
    "reveal_phone_number": false
  }'

Lead Research Process

Step 1: Define ICP (Ideal Customer Profile)

Ask or infer:

  • Target titles: What roles are you selling to?
  • Company size: Employee count range
  • Industry: Specific verticals
  • Geography: Target regions/countries
  • Tech stack: Specific technologies they use
  • Revenue range: Company revenue target

Step 2: Build Search Query

Translate ICP into Apollo search filters. Run multiple searches with variations:

  • Different title variations (VP Marketing = VP of Marketing = Vice President, Marketing)
  • Adjacent roles (CMO, Director of Marketing, Head of Growth)
  • Company size tiers separately

Step 3: Enrich Results

For each prospect found:

  1. Note their current title, company, and location
  2. Enrich their company domain for additional context
  3. Look for mutual connections or shared background

Step 4: Qualify & Prioritize

Score leads on:

FactorWeightCriteria
Title match30%Exact title vs. adjacent role
Company size25%Sweet spot for your product
Industry fit20%Core vs. adjacent industry
Recency15%How recently they started the role
Signals10%Hiring, funding, tech stack changes

Step 5: Output Lead List

Format results as:

# Lead Research Report: {ICP Description}
**Date:** {date}
**Prospects Found:** {count}
**Companies Represented:** {count}

## Top Prospects

| # | Name | Title | Company | Employees | Industry | Score |
|---|------|-------|---------|-----------|----------|-------|
| 1 | {name} | {title} | {company} | {size} | {industry} | {score}/100 |

## Company Insights

### {Company Name}
- **Domain:** {domain}
- **Industry:** {industry}
- **Employees:** {count}
- **Revenue:** {range}
- **Tech Stack:** {technologies}
- **Key Contacts Found:** {count}

## Outreach Recommendations

### Personalization Angles
1. {Specific angle based on company data}
2. {Specific angle based on role/industry}

### Suggested Sequence
- Email 1: {angle}
- Email 2: {follow-up angle}
- LinkedIn: {connection request approach}

Important Notes

  • Apollo rate limits are strict (~600/hour). Batch requests and cache results.
  • Some endpoints require a paid plan. Handle 403 responses gracefully.
  • Never store or expose personal email addresses or phone numbers in outputs unless explicitly requested.
  • Respect opt-out lists and GDPR/CAN-SPAM compliance.
  • Use enrichment data for personalization, not for unsolicited spam.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.99%
按下载量换算351

Claude

30.62%
按下载量换算290

Cursor

20.1%
按下载量换算191

Gemini CLI

9.58%
按下载量换算91

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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