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Romain Rabreau
Romain Rabreau

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How to set up OpenClaw for LinkedIn outreach (step-by-step, 2026)

How to set up OpenClaw for LinkedIn outreach (step-by-step, 2026)

Tags: openclaw, productivity, automation, webdev


This is the setup guide for the OpenClaw LinkedIn Prospecting Pack. If you want the skill files, they are at openclaw-courses-fawn.vercel.app.

This guide covers: prospect list setup, skill loading, first scan, daily operation.


Prerequisites

Before starting:

  • OpenClaw v2 or later installed and running
  • A LinkedIn account with some connection capacity (20 requests/day minimum)
  • A list of target prospects: first name, LinkedIn URL, company, title
  • The three skill files loaded (see below)

Step 1 - Define your ICP in one sentence

Tell your agent exactly who you are targeting before it does anything else.

Example:

WHO: Heads of Sales and VP Sales at B2B SaaS companies, 20-200 employees, Europe
WHY THEY NEED YOU: Their outreach reply rate is under 5%. They do not know why.
WHAT YOU OFFER: Skill files that fix this. 35%+ reply rate, measured.
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This context gets passed to every action the agent takes.


Step 2 - Load the skill files

SKILL signal-lead-finder.md
SKILL outreach-sequence.md  
SKILL message-quality-check.md
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The signal-lead-finder scores every prospect 0-3:

  • Score 3: new job <90 days, funding <6 months, post <7 days, active hiring
  • Score 2: weaker signals
  • Score 0-1: skip entirely

Only score 3 prospects get message 1. This is not optional. Sending to low-signal prospects is why most OpenClaw outreach fails.


Step 3 - Build your prospect list

Minimum fields: first_name, linkedin_url, company, title

Options:

  • Export from LinkedIn Sales Navigator (CSV)
  • Manual spreadsheet (50+ rows minimum)
  • CRM export (filter out anyone contacted in last 90 days)

Upload the list to your agent session.


Step 4 - Run the signal scan

"Scan the prospect list. Apply signal-lead-finder.md. 
Score every prospect 0-3. Sort by score descending. 
Show me the top 20 with their signals."
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Expected distribution on 100 prospects:

  • Score 3: 8-15 people
  • Score 2: 20-30 people
  • Score 0-1: 55-70 people (skip)

If you have zero score-3 prospects: your list is stale. Refresh it.


Step 5 - Review the first 5 messages

Before running the full campaign, ask your agent to draft message 1 for the top 5 score-3 prospects and show you the quality scores.

Each message must:

  • Score 4+/5 on the quality check
  • Be under 150 characters
  • Reference the specific signal detected
  • Have 70% about the prospect, 30% about your offer
  • Contain none of the forbidden words

Forbidden words: synergy, collaboration, leverage, potential, value-add, "I came across your profile", "I would be happy to", "companies like yours"

If the quality score is below 4: the agent rewrites. You review again.


Step 6 - Run the campaign

"Send messages to all score-3 prospects.
Apply outreach-sequence.md.
Log every send. Stop any sequence on reply.
Respect LinkedIn daily limits: 20 connections, 30 messages."
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The sequence runs:

  • Day 0: message 1 (after quality check passes)
  • Day 3: follow-up if no reply
  • Day 7: final message ("last try")
  • On reply: full stop

Step 7 - Monitor and scale

After 7 days, check:

"Give me a campaign summary: 
 total sent, total replies, reply rate, 
 top 3 messages by performance."
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Benchmarks:

  • Below 15% reply rate: message quality problem. Rewrite.
  • 15-25%: acceptable, optimize.
  • 25-35%: good. Scale the list.
  • Above 35%: excellent. Add 100 new prospects per week.

Common mistakes

Sending without signal scoring: reply rate drops to 3-5%. Always score first.

Too many follow-ups: 3 messages maximum. Day 0, day 3, day 7. Not day 0, 1, 2, 3, 4.

Generic first message: if it could be sent to 1000 people without editing, it will not work.

Ignoring the quality score: if the agent scores a message 3/5, it does not send. You fix it.


Get the full pack

Signal finder (free) is on ClawhHub: npx clawhub@latest install romainrabreau/linkedin-prospector

Full pack (3 skill files + setup course + 10 winning examples + sales methodology): openclaw-courses-fawn.vercel.app - €14.99, delivered by email.


Romain Rabreau, founder of Recon0x. romain@recon0x.com

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