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tomba-contact-intelligence通巴联系情报

Agent Skill

tomba-contact-intelligence 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

3,420

周安装

137

GitHub Stars

1

下载量

1,107
OpenClaw

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

MIT-0

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:tomba-contact-intelligence(通巴联系情报)
来源仓库:https://github.com/benemohamed/tomba-contact-intelligence
安装命令:
openclaw skills install tomba-contact-intelligence
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install tomba-contact-intelligence

简介

使用 Tomba MCP 工具进行联系人发现与公司研究。

  • 支持邮箱验证与联系人信息丰富化操作。tomba-contact-intelligence 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 适合销售线索挖掘与市场情报收集场景。
  • 安装前请确认权限和维护状态,注意是否触发外部 API 调用。
  • 专为 OpenClaw 宿主环境设计。

SKILL.md

name
tomba-contact-intelligence
description
Use Tomba MCP tools for contact discovery, verification, enrichment, and company research.
version
1.0.0
metadata
openclaw
requires
env
primaryEnv
TOMBA_API_KEY
emoji
\F50D
homepage
https://tomba.io

Tomba Contact Intelligence

Use this skill when the user needs contact discovery, email verification, lead enrichment, phone lookup, domain research, company research, or technology/competitor analysis.

This skill assumes the Tomba MCP server is already connected and the following tools are available in the session:

  • domain_search
  • email_finder
  • email_verifier
  • email_enrichment
  • author_finder
  • linkedin_finder
  • phone_finder
  • phone_validator
  • email_count
  • similar_finder
  • technology_finder
  • companies_search

When To Use

Use this skill for requests like:

  • find the best person to contact at a company
  • guess and verify an email address
  • enrich a lead with company and contact data
  • find phone numbers tied to an email, domain, or LinkedIn profile
  • research a domain's scale, technology, or similar competitors
  • build target company lists with industry, size, location, or revenue filters

Do not use this skill for general web research that does not need Tomba data, or when the user is asking for unsupported actions such as sending emails.

Tool Selection

Choose tools based on the user's objective:

  • Use email_finder when you have a person name plus company or domain.
  • Use email_verifier after email_finder when the user needs a validated result.
  • Use email_enrichment when the user already has an email and wants more profile data.
  • Use domain_search when the user wants contacts for a company or domain without a specific person.
  • Use phone_finder when the user wants phone numbers from an email, domain, or LinkedIn profile.
  • Use phone_validator when the user provides a phone number and wants validation or carrier details.
  • Use linkedin_finder when the user has a LinkedIn URL and wants an email.
  • Use author_finder when the user provides an article URL and wants the author's contact.
  • Use email_count to estimate the reachable contact surface for a domain.
  • Use technology_finder to inspect a company's website stack.
  • Use similar_finder to find comparable or competing domains.
  • Use companies_search when the user wants a company list filtered by market, geography, size, revenue, type, or industry.

Workflow Guidance

Prefer short multi-step workflows that improve confidence:

  1. If the user names a person, start with email_finder.
  2. Verify the result with email_verifier before presenting it as high-confidence.
  3. If the user wants broader prospecting, use companies_search or domain_search first.
  4. Add email_enrichment, phone_finder, technology_finder, or similar_finder only when they answer the user's actual goal.

When several plausible contacts exist, rank them by relevance to the requested department or role and say why the top result was selected.

If the user does not provide enough information, ask only for the missing fields that materially improve the result, such as company domain, full name, article URL, LinkedIn URL, or target department.

Output Expectations

When returning results:

  • distinguish clearly between confirmed data and inferred data
  • mention whether an email was verified
  • include the source input used for each lookup
  • keep summaries concise and decision-oriented
  • if no high-confidence result is found, say that directly and suggest the next best lookup path

Common Playbooks

Find A Person's Best Email

  1. Use email_finder with the person's name and company.
  2. Use email_verifier on the strongest candidate.
  3. If requested, use email_enrichment and phone_finder.

Research A Company For Outreach

  1. Use domain_search to identify existing contacts.
  2. Use email_count to estimate contact coverage.
  3. Use technology_finder and similar_finder for company context.

Build A Target Account List

  1. Use companies_search with the user's market filters.
  2. For top matches, use domain_search or email_finder for contact discovery.
  3. Verify candidate emails before presenting them as final.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

71.48%
按下载量换算791

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。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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