onewave-ai/claude-skills/cold-email-sequence-generator

Claude Code and agent skill by onewave-ai/claude-skills

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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.

Install

npx vskill@latest install onewave-ai/claude-skills/cold-email-sequence-generator

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

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

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
259
Repository forks
42
7-day trend score
28

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 16 Mar 2026, 7 months ago.

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