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:
CODEBLOCK0
Then give your agent a prospect list (CSV or plain text with first name, LinkedIn URL, company, title).
Ask:
CODEBLOCK1
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:
CODEBLOCK2
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)
- outreach-sequence.md - message structure and follow-up timing rules
- message-quality-check.md - quality scoring (0-5) before sending
- setup-course.md - ICP definition, list building, campaign setup
- winning-examples.md - 10 annotated message examples with scores
- 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
LinkedIn Prospector
在联系潜在客户前，通过信号强度为其评分。
此技能帮助您的OpenClaw智能体基于可观察信号（而非猜测）评估潜在客户是否值得立即联系。
技能功能
智能体读取潜在客户列表并为每位客户打分：
评分3 - 立即联系：
- - 过去90天内更换工作，且您的方案与其职位相关
- 公司过去6个月内获得融资
- 过去7天内发布过与您方案相关的帖子
- 正在招聘能表明您可解决问题的职位
评分2 - 可选：
评分0-1 - 跳过：
- - 无检测信号
- 跳过评分0-1的潜在客户是高绩效外联工作的主要原因
使用方法
将此技能加载到您的OpenClaw智能体中：
SKILL signal-lead-finder.md
然后向智能体提供潜在客户列表（包含名字、LinkedIn链接、公司、职位的CSV或纯文本）。
询问：
审查此潜在客户列表。应用signal-lead-finder.md。
为每位客户评分0-3。按评分降序排列。
显示前10名及其具体信号。
随后您的智能体将仅为评分3的潜在客户起草外联信息（若您使用完整工具包中的outreach-sequence.md）。
技能限制
此为评分与决策框架，非浏览器自动化工具。您的智能体读取上下文（您提供的潜在客户信息）并应用评分规则。它不会自动登录LinkedIn或发送消息——任何消息发送均使用智能体的常规功能，且需您审核。
评分规则
智能体应用以下逻辑：
信号检查：
- - 新工作（<90天）：若职位符合ICP则+2
- 融资（<6个月）：若公司阶段匹配则+2
- 近期帖子（<7天）：若话题与方案重叠则+1
- 活跃招聘：若职位表明您能解决的问题则+1
评分3：多个强信号，立即联系
评分2：单个弱信号，可选
评分0-1：无信号，跳过
信号评分的重要性
无信号评分的外联回复率为3-5%（行业平均水平）。
有信号评分的外联回复率达25-35%以上。
差异不在于信息质量，而在于对方当下是否有理由关注。
完整方法论工具包
此为免费信号评分技能。完整工具包包含：
- 1. signal-lead-finder.md（本文件）
- outreach-sequence.md - 信息结构与跟进时间规则
- message-quality-check.md - 发送前质量评分（0-5）
- setup-course.md - ICP定义、列表构建、活动设置
- winning-examples.md - 10个带评分的注释信息示例
- sales-fundamentals.md - 70/30法则与禁用词汇
完整工具包：https://openclaw-courses-fawn.vercel.app - €14.99，邮件发送。
由Recon0x创始人Romain Rabreau构建。联系方式：romain@recon0x.com
