LinkedIn Prospector
/install linkedin-prospector
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 (\x3C90 days): +2 if role matches your ICP
- Funding (\x3C6 months): +2 if company stage matches
- Recent post (\x3C7 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:
- 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: [email protected]
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install linkedin-prospector - After installation, invoke the skill by name or use
/linkedin-prospector - Provide required inputs per the skill's parameter spec and get structured output
What is 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... It is an AI Agent Skill for Claude Code / OpenClaw, with 332 downloads so far.
How do I install LinkedIn Prospector?
Run "/install linkedin-prospector" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is LinkedIn Prospector free?
Yes, LinkedIn Prospector is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does LinkedIn Prospector support?
LinkedIn Prospector is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created LinkedIn Prospector?
It is built and maintained by romainrabreau (@romainrabreau); the current version is v1.2.0.