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LinkedIn Prospector

Score LinkedIn prospects by signal strength (0-3). Detect high-intent leads: new job, funding, recent post, active hiring. Free skill - full outreach methodo...

v1.2.0
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Description


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:

  • linkedin
  • prospecting
  • lead-generation
  • sales
  • outreach 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

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Pricing

Free

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