End-to-end outbound prospecting: detect intent signals, research companies, find decision-maker contacts, personalize messaging, launch campaign.
npx gooseworks install --claude # Then in your agent: /gooseworks <prompt> --skill outbound-prospecting-engine
Build and run a complete outbound prospecting system: signal detection → company research → contact finding → personalization → campaign launch.
Based on the client's ICP and motion, select which signals to monitor:
| Signal Source | Best For | Skill |
|---|---|---|
| Job postings | Companies with allocated budget | job-posting-intent |
| Funding announcements | Companies with fresh capital | funding-signal-monitor |
| LinkedIn posts/comments | Practitioners discussing the problem | linkedin-post-research + linkedin-commenter-extractor |
| Conference attendees | People actively engaged with the space | luma-event-attendees |
| Competitor customers | Companies already buying similar solutions | competitor-post-engagers |
Execute selected signal skills with client-specific keywords. Run in parallel.
Output: Raw signal list — companies + signal context.
Skill: lead-qualification
Filter against ICP criteria. Score each lead:
Skill: company-contact-finder
For top qualified companies, find the specific decision-makers:
Skill: contact-cache
Check all leads against the contact cache. Add new leads to cache. Skip any that have been contacted before.
For each lead, generate personalized email sequence using:
Skill: cold-email-outreach
Set up the outreach campaign in your chosen tool:
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