onewave-ai/claude-skills

cold-email-sequence-generator

Generate personalized cold email sequences (7-14 emails) with A/B test subject lines, follow-up timing recommendations, and integrated social proof.

First seen Jan 24, 2026

Installation

$ npx skills add onewave-ai/claude-skills --skill cold-email-sequence-generator

Summary

  • Generate personalized cold email sequences (7-14 emails) with A/B test subject lines, follow-up timing recommendations, and integrated social proof.
  • Creates multi-touch campaigns optimized for response rates.
  • Use when users need outbound email campaigns, sales sequences, or lead generation emails.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 287
License MIT
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,263 B
  • docs SUMMARY.md 335 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 466 installs

SKILL.md

Cold Email Sequence Generator

Craft personalized, value-driven cold email sequences with optimal timing, A/B-tested subject lines, and integrated social proof. The goal of cold email is to start a conversation, not to close the sale in the inbox.

Contents

  • references/email-templates.md — Per-position email templates (Emails 1-7), bodies, variables, and social-proof frameworks.
  • references/output-format.md — Delivery structure, flow-and-timing table, sending best practices.
  • references/optimization.md — A/B testing, performance benchmarks, segmentation, pro tips, setup checklist.
  • references/quick-start-templates.md — Vertical-specific subject-line skeletons (SaaS, agency, partnership).

Workflow

  1. Confirm the target audience (ICP) and the core value proposition with the user.
  2. Select the sequence type: Classic Cold Outreach (7 emails / 2 weeks), Fast-Track (5 emails / 1 week), Long-Play Nurture (12-14 emails / 4-6 weeks), Event/Trigger-Based (3-5 emails), or Re-Engagement (5 emails).
  3. Select the personalization level: Hyper-Personal (unique research per prospect), Account-Based (company-specific), Segment-Based (industry/role), or Volume (template with merge tags).
  4. Identify the key pain points and the strongest social proof (case studies, stats, named customers) to support the campaign.
  5. Build the sequence using the per-position templates in references/email-templates.md. Vary the angle across emails: Introduction, Value Proof, Different Angle, Social Proof, Resource Share, Direct Ask, Breakup.
  6. Generate A/B subject-line variations and assign send timing per email, following references/output-format.md.
  7. Add personalization guidance, performance benchmarks, and optimization recommendations from references/optimization.md.
  8. Assemble the final deliverable in the structure defined in references/output-format.md.

Core Rules

  • Always personalize the first line with something specific about the prospect or their company.
  • Keep emails short; the best cold emails run under 100 words.
  • Use one ask per email; never bury multiple CTAs.
  • Honor replies immediately when a prospect says no or asks to stop.
  • Run an A/B test on some variable in every campaign.
  • Invest in follow-up: roughly 80% of responses come from emails 3-7.

Sequence Angle Map

Email Angle Length CTA
1 Introduction (problem + quick win) 50-100 words Soft ask
2 Value proof (case study) 75-125 words Specific meeting time
3 Different angle (alt pain point) 50-75 words Yes/no question
4 Social proof (peer validation) 60-90 words Simple reply
5 Resource share (give first) 40-60 words Soft (let me know)
6 Direct ask (clear value prop) 30-50 words Direct meeting request
7 Breakup (last attempt + opt-out) 25-40 words "Should I close your file?"