Outbound Prospecting Engine

SkillCommunication

End-to-end outbound prospecting: detect intent signals, research companies, find decision-maker contacts, personalize messaging, launch campaign.

Use Outbound Prospecting Engine in Claude, ChatGPT or Ahel Desktop

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Also: Claude Code · Cursor · Codex

Then ask your AI: use the Outbound Prospecting Engine skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Outbound Prospecting EngineStart free

What this skill tells your AI

The instructions your AI receives, as published by gooseworks-ai/goose-skills in skills/outreach/playbooks/outbound-prospecting-engine/SKILL.md and read by Ahel’s review.

Build and run a complete outbound prospecting system: signal detection → company research → contact finding → personalization → campaign launch.

When to Use

  • "Set up outbound prospecting for [client]"
  • "Build a lead gen engine targeting [ICP]"
  • "Find and reach out to companies that need [solution]"

Prerequisites

  • Client context.md with ICP, value props, positioning
  • Signal keywords (what to monitor for intent)
  • Approved messaging / email sequences (or generate them)

Steps

1. Define Signal Sources

Based on the client's ICP and motion, select which signals to monitor:

Signal SourceBest ForSkill
Job postingsCompanies with allocated budgetjob-posting-intent
Funding announcementsCompanies with fresh capitalfunding-signal-monitor
LinkedIn posts/commentsPractitioners discussing the problemlinkedin-post-research + linkedin-commenter-extractor
Conference attendeesPeople actively engaged with the spaceluma-event-attendees
Competitor customersCompanies already buying similar solutionscompetitor-post-engagers

2. Run Signal Detection

Execute selected signal skills with client-specific keywords. Run in parallel.

Output: Raw signal list — companies + signal context.

3. Qualify & Score

Skill: lead-qualification

Filter against ICP criteria. Score each lead:

  • Multi-signal leads = highest priority
  • Job posting + funding = strongest intent
  • Single social mention = lowest (awareness only)

4. Find Decision-Maker Contacts

Skill: company-contact-finder

For top qualified companies, find the specific decision-makers:

  • Target titles from client's ICP
  • Get email addresses and LinkedIn URLs

5. Deduplicate

Skill: contact-cache

Check all leads against the contact cache. Add new leads to cache. Skip any that have been contacted before.

6. Personalize Outreach

For each lead, generate personalized email sequence using:

  • The signal that surfaced them (the "why now")
  • Their company context (what they do, their pain)
  • The client's value proposition (how it solves their pain)

7. Launch Campaign

Skill: cold-email-outreach

Set up the outreach campaign in your chosen tool:

  • Create campaign with name and schedule
  • Upload lead list
  • Configure 2-3 email sequence (personalized per lead or per segment)
  • Allocate mailboxes
  • Set sending schedule

8. Monitor & Iterate

  • Track open rates, reply rates, meeting bookings
  • A/B test subject lines and messaging
  • Re-run signal detection weekly to add new leads
  • Update contact cache with outcomes

Ongoing Cadence

  • Weekly: Re-run signal detection, qualify new leads, add to campaign
  • Bi-weekly: Review campaign metrics, adjust messaging
  • Monthly: Review overall pipeline contribution, adjust signal sources

Human Checkpoints

  • After Step 3: Review qualified lead list before finding contacts
  • After Step 6: Review personalized email copy before launching campaign
  • After Step 8: Review campaign performance metrics

Signals

GitHub stars
1k
Forks
211
Last commit
Oct 2026
Advanced
Item type
skill
Key
outbound-prospecting-engine
Source
github.com/gooseworks-ai/goose-skills