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linkedin-prospector领英探矿者

Agent Skill

linkedin-prospector 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

10,127

周安装

435

GitHub Stars

公开资料未说明

下载量

3,550
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:linkedin-prospector(领英探矿者)
来源仓库:https://github.com/romainrabreau/linkedin-prospector
安装命令:
openclaw skills install linkedin-prospector
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 linkedin-prospector

简介

根据信号强度对 LinkedIn 潜在客户进行评分与筛选。

  • 适合识别高意图客户如跳槽、融资或招聘需求。linkedin-prospector 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 输出包含职位变动、资金动态等维度的评分报告。
  • 数据来源依赖公开信息与第三方服务,需验证时效性。
  • 外展前应遵守 LinkedIn 使用政策与反垃圾规则。

SKILL.md

name
linkedin-prospector
description
Score LinkedIn prospects by signal strength (0-3). Detect high-intent leads: new job, funding, recent post, active hiring. Free skill - full outreach methodology pack at openclaw-courses-fawn.vercel.app
homepage
https://openclaw-courses-fawn.vercel.app
author
Romain Rabreau
license
MIT-0
tags
version
1.2.0

LinkedIn Prospector

Score LinkedIn prospects by signal strength before reaching out.

This skill helps your OpenClaw agent evaluate whether a prospect is worth contacting right now - based on observable signals, not guessing.

What this skill does

Your agent reads a prospect list and assigns each person a score:

Score 3 - Contact now:

  • New job in last 90 days AND your offer is relevant to their role
  • Company raised funding in last 6 months
  • Published a post in last 7 days that relates to your offer
  • Actively hiring for roles that indicate a problem you can solve

Score 2 - Optional:

  • Weaker versions of the above (older signals, indirect relevance)

Score 0-1 - Skip:

  • No detectable signal
  • Skipping score 0-1 prospects is the main reason high-performing outreach works

How to use

Load this skill into your OpenClaw agent:

SKILL signal-lead-finder.md

Then give your agent a prospect list (CSV or plain text with first name, LinkedIn URL, company, title).

Ask:

"Review this prospect list. Apply signal-lead-finder.md. 
Score each person 0-3. Sort by score descending. 
Show me the top 10 with their specific signals."

Your agent will then draft outreach messages only for score-3 prospects (if you use outreach-sequence.md from the full pack).

What this skill does NOT do

This is a scoring and decision framework, not a browser automation tool. Your agent reads context (prospect info you provide) and applies the scoring rules. It does not log into LinkedIn or send messages automatically - any message sending uses your agent's normal capabilities and requires your review.

Scoring rules

The agent applies this logic:

Signal check:
- New job (<90 days): +2 if role matches your ICP
- Funding (<6 months): +2 if company stage matches  
- Recent post (<7 days): +1 if topic overlaps with your offer
- Active hiring: +1 if roles indicate the problem you solve

Score 3: multiple strong signals, contact now
Score 2: single weak signal, optional
Score 0-1: no signal, skip

Why signal scoring matters

Outreach without signal scoring gets 3-5% reply rate (industry average). Outreach with signal scoring gets 25-35%+ reply rate.

The difference is not the message quality. It is whether the person has a reason to care right now.

Full methodology pack

This is the free signal-scoring skill. The full pack includes:

  1. signal-lead-finder.md (this file)
  2. outreach-sequence.md - message structure and follow-up timing rules
  3. message-quality-check.md - quality scoring (0-5) before sending
  4. setup-course.md - ICP definition, list building, campaign setup
  5. winning-examples.md - 10 annotated message examples with scores
  6. sales-fundamentals.md - the 70/30 rule and forbidden words

Full pack: https://openclaw-courses-fawn.vercel.app - €14.99, delivered by email.


Built by Romain Rabreau, founder of Recon0x. Contact: romain@recon0x.com

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

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能力 2

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能力 3

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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

73.05%
按下载量换算2,593

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安装前确认

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