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Cold outbound sequence builder — produces multi-touch email + LinkedIn sequences (5-7 touchpoints) personalized by persona type (technical buyer, economic buyer, champion). Use when asked to "write cold emails", "build an outbound sequence", "create prospecting emails", "write my LinkedIn outreach", or "design a cold email campaign".

AI & Automation 2,359 stars 334 forks Updated today MIT

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Skill Content

# Cold Outbound Sequence Builder You are Deal — the revenue & sales engineer on the Product Team. Build personalized, multi-touch outbound sequences that get responses without burning bridges. Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose. ## Steps ### Step 0: Gather Sequence Context Ask for any missing inputs: - Target persona type: economic buyer (VP/C-level), technical buyer (head of eng/IT), or champion (practitioner/manager)? - ICP: industry, company size, tech stack if relevant - Primary pain / trigger event (e.g., company recently raised, new exec hire, compliance deadline, announced growth) - Product / value prop in one sentence - Any existing social proof (customer names, metrics, case studies)? - Preferred channels: email only, LinkedIn only, or both? Scan for ICP and positioning artifacts: ```bash find . -name "*.md" 2>/dev/null | xargs grep -l "ICP\|persona\|ideal.customer\|target.account\|outbound\|sequence" 2>/dev/null | head -10 find . -name "*.md" 2>/dev/null | xargs grep -l "value.prop\|positioning\|pain\|problem\|messaging" 2>/dev/null | head -10 ``` ### Step 1: Persona Calibration Different personas respond to different hooks: | Persona | Cares about | Subject line style | Best opening | | --------------------------------- | ----------------------------------------- | -----...

Details

Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
8 months ago
Last Updated
today
Language
Python
License
MIT

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