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ai-cold-outreach

Builds and optimizes AI-personalized cold email outreach systems from signal detection through conversion.

Updated Sep 15, 2026
Search Tags:#cold email#deliverability#outreach automation#instantly#email sequences#clay#lead enrichment
One-click install
npx skills add https://github.com/Peterson-Benhame/agent-skills --skill ai-cold-outreach-peterson-benhame
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-cold-outreach
Source: https://github.com/Peterson-Benhame/agent-skills/tree/main/packages/skills-catalog/skills/%28gtm%29/ai-cold-outreach
Command: npx skills add https://github.com/Peterson-Benhame/agent-skills --skill ai-cold-outreach-peterson-benhame

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Cold outreach campaigns fail when emails are generic, domains land in spam, or follow-ups go unanswered. This Skill guides you through building a complete cold outreach system covering signal detection, enrichment, AI personalization, sequencing, sending infrastructure, and automated follow-up. ## Core Features & Use Cases - Six-Stage Outreach Pipeline: Covers signal detection (G2, Bombora, Clay), waterfall enrichment (Apollo, Hunter, ZoomInfo), AI personalization (Claude, GPT), sequencing, sending infrastructure (Instantly, Smartlead), and AI-powered reply handling. - Deliverability Playbook: Provides domain warmup schedules, SPF/DKIM/DMARC setup checklists, mailbox sizing formulas, and spam trigger word lists to keep bounce rates under 2%. - 3-Line Cold Email Framework: Supplies a proven email structure (pain observation, proof, low-friction CTA) with benchmarks showing timeline hooks achieve 10% reply rates versus 4.4% for problem-based hooks. - Use Case: A founder asks to build a cold email sequence for their SaaS. The Skill gathers ICP and volume requirements, recommends an Instantly plus Clay stack, and outputs a 5-7 touch sequence with subject lines, spacing, and warmup plan. ## Quick Start Ask the agent to build a cold outreach system for your product, providing your ICP, target volume, and existing tools so it can design the full stack and sequence.

Frequently Asked Questions about ai-cold-outreach

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a cold email outreach system from scratch?▼

Follow the six-stage pipeline: detect buying signals with Clay or Bombora, enrich contacts via a waterfall of providers like Apollo and Hunter, generate AI first lines with Claude, build a 4-7 step sequence, warm up secondary domains for 14-21 days, and automate reply handling.

Instantly vs Smartlead: which cold email platform should I use?▼

Instantly suits solo founders and small teams with its built-in lead database, AI reply agent, and simpler setup. Smartlead fits agencies and high-volume senders needing white-labeling, API-first control, and human-mimicking variable sending behavior.

How many domains and mailboxes do I need for cold outreach?▼

Divide your daily volume target by 150 to get the minimum domains, then add 30-50% reserve. Create 2 mailboxes per domain and cap each mailbox at 25-30 cold sends per day after a 14-21 day warmup period.

Why are my cold emails landing in spam?▼

Common causes include missing SPF, DKIM, or DMARC records, sending before completing domain warmup, exceeding per-mailbox daily limits, and using spam trigger words or links in first-touch emails. Verify every address to keep bounce rates under 2%.

What reply rate should I expect from cold email campaigns?▼

Average reply rates are around 3.4%, good campaigns reach 5-10%, and top performers hit 10-15%. Timeline-based hooks achieve about 10% reply rates, roughly 2.3x higher than problem-based hooks at 4.4%.

When should I not use this cold outreach skill?▼

Do not use it for technical implementation, code review, or software architecture tasks. It covers go-to-market strategy, copywriting, deliverability, and tool selection rather than building the underlying software systems.

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