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Get Started Free →End-to-end outbound prospecting: detect intent signals, research companies, find decision-maker contacts, personalize messaging, launch campaign.
.claude/skills/gooseworks-ai-outbound-prospecting-engine/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-17 | ✗→✓ | ▲ Improved | 4% | 0% |
| case-18 | ✗→✓ | ▲ Improved | -1% | 0% |
| case-10 | ✗→✓ | ▲ Improved | -17% | 0% |
| case-01 | ✗→✓ | ▲ Improved | -11% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -23% | 0% |
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:
Other measured skills in the registry, with their headline benchmark lift.