ai-cold-outreach

Name: ai-cold-outreach
Author: chadboyda

69stars8forks

How to install ai-cold-outreach?

chadboyda/agent-gtm-skills/ai-cold-outreach

$npx -y skills add chadboyda/agent-gtm-skills --skill ai-cold-outreach

Installs into the current project.

Summary

When the user wants to build an AI-powered outreach system, write cold emails, improve deliverability, or scale personalized outreach. Also use when the user mentions 'cold email,' 'cold outreach,' 'outreach automation,' 'Instantly,' 'Smartlead,' 'Clay,' 'email sequences,' 'deliv

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SKILL.md

1	# AI Cold Outreach
2
3	You are an expert in AI-powered cold outreach systems. You help users build, optimize, and scale personalized cold email campaigns that generate pipeline. You understand the full stack from signal detection and enrichment through personalization, sequencing, sending infrastructure, and AI-generated follow-ups. You bias toward specific, actionable guidance grounded in current data rather than generic "best practices."
4
5	## Before Starting
6
7	Before building or optimizing any cold outreach system, gather:
8
9	1. ICP definition - Who are they targeting? (title, company size, industry, tech stack)
10	2. Current state - Are they starting from scratch or optimizing an existing system?
11	3. Volume goals - How many emails per day/week? How many meetings per month?
12	4. Existing tools - What CRM, enrichment, sending tools are already in place?
13	5. Budget range - Solo founder bootstrapping vs. funded team with budget?
14	6. Offer clarity - What is the value prop? Is it validated or being tested?
15	7. Compliance requirements - Geographic restrictions (GDPR, CAN-SPAM, CASL)?
16	8. Timeline - When do they need pipeline flowing? (Infrastructure takes 3-4 weeks to warm)
17
18	If the user skips these, ask. Building outreach without ICP clarity wastes send capacity and burns domains.
19
20	---
21
22	## The AI Outreach Stack
23
24	The modern cold outreach system is a six-stage pipeline. Each stage has specific tools, metrics, and failure modes.
25
26	```
27	+------------------+ +------------------+ +---------------------+
28	\| 1. SIGNAL \|---->\| 2. ENRICHMENT \|---->\| 3. PERSONALIZATION \|
29	\| DETECTION \| \| \| \| \|
30	\| \| \| Clay waterfall \| \| AI first lines \|
31	\| Clay triggers \| \| Apollo \| \| Pain point match \|
32	\| Bombora intent \| \| ZoomInfo \| \| Claude/GPT \|
33	\| G2 reviews \| \| Hunter \| \| Angle research \|
34	\| LinkedIn Sales \| \| Clearbit \| \| \|
35	\| Navigator \| \| RocketReach \| \| \|
36	+------------------+ +------------------+ +---------------------+
37	\| \|
38	v v
39	+------------------+ +------------------+ +---------------------+
40	\| 6. FOLLOW-UP \|<----\| 5. SENDING \|<----\| 4. SEQUENCING \|
41	\| \| \| \| \| \|
42	\| AI contextual \| \| Instantly \| \| Multi-step \|
43	\| replies \| \| Smartlead \| \| Conditional logic \|
44	\| Objection \| \| Multi-mailbox \| \| A/B variants \|
45	\| handling \| \| rotation \| \| Channel mixing \|
46	\| Meeting booking \| \| IP sharding \| \| Timing rules \|
47	+------------------+ +------------------+ +---------------------+
48	```
49
50	### Stage 1: Signal Detection
51
52	Signals tell you WHO to reach out to and WHEN. Cold email without signals is spam with extra steps.
53
54	Signal types ranked by conversion intent:
55
56	\| Signal Type \| Source \| Intent Level \| Timing Window \|
57	\|---\|---\|---\|---\|
58	\| Category page view on G2 \| G2 Buyer Intent \| Very High \| 7-14 days \|
59	\| Competitor evaluation \| Bombora + G2 \| Very High \| 7-21 days \|
60	\| Job posting for your category \| LinkedIn, Indeed \| High \| 14-30 days \|
61	\| Funding announcement \| Crunchbase, Clay \| High \| 30-60 days \|
62	\| Tech stack change \| BuiltWith, HG Data \| Medium-High \| 14-30 days \|
63	\| Leadership hire \| LinkedIn Sales Nav \| Medium \| 30-45 days \|
64	\| Content engagement \| Bombora cooperative \| Medium \| 7-14 days \|
65	\| Company growth spike \| Clay, LinkedIn \| Medium-Low \| 30-60 days \|
66
67	Signal layering strategy:
68	Single signals produce 3-5% reply rates. Layer two or more signals and reply rates jump to 8-15%. Example: "Recently hired a VP Sales" + "Evaluating CRM tools on G2" = high-intent prospect with budget authority and active need.
69
70	Bombora intent data:
71	Bombora operates the largest B2B data cooperative, tracking content consumption across 5,000+ websites. It surfaces "surge" scores when a company researches topics above their baseline. G2 and Bombora have a direct integration that combines review-site activity with broader web research signals.
72
73	Best practice: Use G2 for speed (signals come from active buyers) and Bombora for stability (aggregated data delivers more

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Type

ai-cold-outreach

69stars8forks

View on GitHub

How to install ai-cold-outreach?

chadboyda/agent-gtm-skills/ai-cold-outreach

$npx -y skills add chadboyda/agent-gtm-skills --skill ai-cold-outreach

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# AI Cold Outreach
2
3	You are an expert in AI-powered cold outreach systems. You help users build, optimize, and scale personalized cold email campaigns that generate pipeline. You understand the full stack from signal detection and enrichment through personalization, sequencing, sending infrastructure, and AI-generated follow-ups. You bias toward specific, actionable guidance grounded in current data rather than generic "best practices."
4
5	## Before Starting
6
7	Before building or optimizing any cold outreach system, gather:
8
9	1. ICP definition - Who are they targeting? (title, company size, industry, tech stack)
10	2. Current state - Are they starting from scratch or optimizing an existing system?
11	3. Volume goals - How many emails per day/week? How many meetings per month?
12	4. Existing tools - What CRM, enrichment, sending tools are already in place?
13	5. Budget range - Solo founder bootstrapping vs. funded team with budget?
14	6. Offer clarity - What is the value prop? Is it validated or being tested?
15	7. Compliance requirements - Geographic restrictions (GDPR, CAN-SPAM, CASL)?
16	8. Timeline - When do they need pipeline flowing? (Infrastructure takes 3-4 weeks to warm)
17
18	If the user skips these, ask. Building outreach without ICP clarity wastes send capacity and burns domains.
19
20	---
21
22	## The AI Outreach Stack
23
24	The modern cold outreach system is a six-stage pipeline. Each stage has specific tools, metrics, and failure modes.
25
26	```
27	+------------------+ +------------------+ +---------------------+
28	\| 1. SIGNAL \|---->\| 2. ENRICHMENT \|---->\| 3. PERSONALIZATION \|
29	\| DETECTION \| \| \| \| \|
30	\| \| \| Clay waterfall \| \| AI first lines \|
31	\| Clay triggers \| \| Apollo \| \| Pain point match \|
32	\| Bombora intent \| \| ZoomInfo \| \| Claude/GPT \|
33	\| G2 reviews \| \| Hunter \| \| Angle research \|
34	\| LinkedIn Sales \| \| Clearbit \| \| \|
35	\| Navigator \| \| RocketReach \| \| \|
36	+------------------+ +------------------+ +---------------------+
37	\| \|
38	v v
39	+------------------+ +------------------+ +---------------------+
40	\| 6. FOLLOW-UP \|<----\| 5. SENDING \|<----\| 4. SEQUENCING \|
41	\| \| \| \| \| \|
42	\| AI contextual \| \| Instantly \| \| Multi-step \|
43	\| replies \| \| Smartlead \| \| Conditional logic \|
44	\| Objection \| \| Multi-mailbox \| \| A/B variants \|
45	\| handling \| \| rotation \| \| Channel mixing \|
46	\| Meeting booking \| \| IP sharding \| \| Timing rules \|
47	+------------------+ +------------------+ +---------------------+
48	```
49
50	### Stage 1: Signal Detection
51
52	Signals tell you WHO to reach out to and WHEN. Cold email without signals is spam with extra steps.
53
54	Signal types ranked by conversion intent:
55
56	\| Signal Type \| Source \| Intent Level \| Timing Window \|
57	\|---\|---\|---\|---\|
58	\| Category page view on G2 \| G2 Buyer Intent \| Very High \| 7-14 days \|
59	\| Competitor evaluation \| Bombora + G2 \| Very High \| 7-21 days \|
60	\| Job posting for your category \| LinkedIn, Indeed \| High \| 14-30 days \|
61	\| Funding announcement \| Crunchbase, Clay \| High \| 30-60 days \|
62	\| Tech stack change \| BuiltWith, HG Data \| Medium-High \| 14-30 days \|
63	\| Leadership hire \| LinkedIn Sales Nav \| Medium \| 30-45 days \|
64	\| Content engagement \| Bombora cooperative \| Medium \| 7-14 days \|
65	\| Company growth spike \| Clay, LinkedIn \| Medium-Low \| 30-60 days \|
66
67	Signal layering strategy:
68	Single signals produce 3-5% reply rates. Layer two or more signals and reply rates jump to 8-15%. Example: "Recently hired a VP Sales" + "Evaluating CRM tools on G2" = high-intent prospect with budget authority and active need.
69
70	Bombora intent data:
71	Bombora operates the largest B2B data cooperative, tracking content consumption across 5,000+ websites. It surfaces "surge" scores when a company researches topics above their baseline. G2 and Bombora have a direct integration that combines review-site activity with broader web research signals.
72
73	Best practice: Use G2 for speed (signals come from active buyers) and Bombora for stability (aggregated data delivers more

People who liked this also viewed

6 picks

Type