Outbound Prospecting Engine

Outbound prospecting engine

by gooseworks-ai · MIT license · ★ 1,220 on GitHub · updated Sep 21

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

---
type: playbook
name: outbound-prospecting-engine
description: >
  End-to-end outbound prospecting: detect intent signals, research companies,
  find decision-maker contacts, personalize messaging, launch campaign.
---

# 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]"

Overview

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

Manual install (npx, ZIP)

Claude Codenpx skills add gooseworks-ai/goose-skills --skill outbound-prospecting-engine -g -a claude-code

Claude Code (manual)

mkdir -p ~/.claude/skills && curl -sL https://codeload.github.com/gooseworks-ai/goose-skills/tar.gz/615c685f34f8 \
  | tar -xz -C ~/.claude/skills --strip-components=4 goose-skills-615c685f34f8/skills/outreach/playbooks/outbound-prospecting-engine

Windows (PowerShell)

New-Item -ItemType Directory -Force "$HOME\.claude\skills" | Out-Null; Invoke-WebRequest "https://m.agentalley.io/zip/ed63dabfa47117d4bfdb/outbound-prospecting-engine.zip" -OutFile "$env:TEMP\outbound-prospecting-engine.zip"; Expand-Archive "$env:TEMP\outbound-prospecting-engine.zip" -DestinationPath "$HOME\.claude\skills" -Force

Claude.ai / desktopDownload the ZIP and upload it under Settings → Capabilities → Skills.

Codex, Cursor, other agentsPoint them at SKILL.md. The other files are plain text.

Connects with Agent Alley MCP · agentalley.io/mcp

Files included

SKILL.md3.3 KB
skill.meta.json274 B

Read the files here

gooseworks-ai/615c6852 files

SKILL.md

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PreviewCode

Outline

RawView on GitHub

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 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

1	---
2	type: playbook
3	name: outbound-prospecting-engine
4	description: >
5	End-to-end outbound prospecting: detect intent signals, research companies,
6	find decision-maker contacts, personalize messaging, launch campaign.
7	---
8
9	# Outbound Prospecting Engine
10
11	Build and run a complete outbound prospecting system: signal detection → company research → contact finding → personalization → campaign launch.
12
13	## When to Use
14
15	- "Set up outbound prospecting for [client]"
16	- "Build a lead gen engine targeting [ICP]"
17	- "Find and reach out to companies that need [solution]"
18
19	## Prerequisites
20
21	- Client context.md with ICP, value props, positioning
22	- Signal keywords (what to monitor for intent)
23	- Approved messaging / email sequences (or generate them)
24
25	## Steps
26
27	### 1. Define Signal Sources
28
29	Based on the client's ICP and motion, select which signals to monitor:
30
31	\| Signal Source \| Best For \| Skill \|
32	\|--------------\|---------\|-------\|
33	\| Job postings \| Companies with allocated budget \| job-posting-intent \|
34	\| Funding announcements \| Companies with fresh capital \| funding-signal-monitor \|
35	\| LinkedIn posts/comments \| Practitioners discussing the problem \| linkedin-post-research + linkedin-commenter-extractor \|
36	\| Conference attendees \| People actively engaged with the space \| luma-event-attendees \|
37	\| Competitor customers \| Companies already buying similar solutions \| competitor-post-engagers \|
38
39	### 2. Run Signal Detection
40
41	Execute selected signal skills with client-specific keywords. Run in parallel.
42
43	Output: Raw signal list — companies + signal context.
44
45	### 3. Qualify & Score
46
47	Skill: lead-qualification
48
49	Filter against ICP criteria. Score each lead:
50	- Multi-signal leads = highest priority
51	- Job posting + funding = strongest intent
52	- Single social mention = lowest (awareness only)
53
54	### 4. Find Decision-Maker Contacts
55
56	Skill: company-contact-finder
57
58	For top qualified companies, find the specific decision-makers:
59	- Target titles from client's ICP
60	- Get email addresses and LinkedIn URLs
61
62	### 5. Deduplicate
63
64	Skill: contact-cache
65
66	Check all leads against the contact cache. Add new leads to cache. Skip any that have been contacted before.
67
68	### 6. Personalize Outreach
69
70	For each lead, generate personalized email sequence using:
71	- The signal that surfaced them (the "why now")
72	- Their company context (what they do, their pain)
73	- The client's value proposition (how it solves their pain)
74
75	### 7. Launch Campaign
76
77	Skill: cold-email-outreach
78
79	Set up the outreach campaign in your chosen tool:
80	- Create campaign with name and schedule
81	- Upload lead list
82	- Configure 2-3 email sequence (personalized per lead or per segment)
83	- Allocate mailboxes
84	- Set sending schedule
85
86	### 8. Monitor & Iterate
87
88	- Track open rates, reply rates, meeting bookings
89	- A/B test subject lines and messaging
90	- Re-run signal detection weekly to add new leads
91	- Update contact cache with outcomes
92
93	## Ongoing Cadence
94
95	- Weekly: Re-run signal detection, qualify new leads, add to campaign
96	- Bi-weekly: Review campaign metrics, adjust messaging
97	- Monthly: Review overall pipeline contribution, adjust signal sources
98
99	## Human Checkpoints
100
101	- After Step 3: Review qualified lead list before finding contacts
102	- After Step 6: Review personalized email copy before launching campaign
103	- After Step 8: Review campaign performance metrics
104