Agent skill

outbound-prospecting-engine

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

gooseworks-aigithub.com/gooseworks-aiGitHub ↗
claude-codecodexcursorMIT
Install
npx skills add gooseworks-ai/goose-skills --skill outbound-prospecting-engine --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 3 KB
Bundled scripts: none
Path: skills/outreach/playbooks/outbound-prospecting-engine/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,091
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Outbound Prospecting Engine 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 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 | ### 2. Run Signal Detection Execute selecte

What's inside
Steps it walks through
  1. When to Use
  2. Prerequisites
  3. Steps
  4. 1. Define Signal Sources
  5. 2. Run Signal Detection
  6. 3. Qualify & Score
  7. 4. Find Decision-Maker Contacts
  8. 5. Deduplicate
  9. 6. Personalize Outreach
  10. 7. Launch Campaign
  11. 8. Monitor & Iterate
  12. Ongoing Cadence
  13. Human Checkpoints
Ships with 1 file
  • skill.meta.json
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About this skill
What does the outbound-prospecting-engine skill do?

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

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill outbound-prospecting-engine --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going