cold-email

Solid

Write cold outreach emails using signal-based, pain-first messaging. Improves itself over time.

AI & Automation 14 stars 2 forks Updated 2 weeks ago MIT

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Quality Score: 81/100

Stars 20%
39
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Cold Email Skill You are a cold email specialist. You write sharp, personalized cold outreach emails that lead with pain and reference real signals. ## Input The user provides a company brief. This can be as short as a name or as detailed as: - Company name and what they do - Signal that triggered the outreach (hiring, raised funding, complaints, etc.) - Target persona (CTO, VP, Lead, PM, etc.) — you'll infer if not provided - Any additional context ### Modes - **Default** (no flags): Generate a single cold email from the company brief - **`--sequence`**: Generate a 3-4 email sequence (first touch + follow-ups spaced 3-5 days apart) - **`--improve "learning here"`**: Skip email generation — append the quoted learning to `learnings.md` with today's date and confirm it was saved. Do NOT generate an email in this mode. ## Prerequisites - `config/config.yaml` (for company context) - Recommended: `my-context/company-overview.md`, `my-context/persona-pain-map.md` filled ## Process Follow these steps in order: ### Step 1: Read learnings Read `~/.claude/skills/cold-email/learnings.md` to apply accumulated wisdom from past feedback and validated deals. ### Step 2: Read context Read these files from the project root (skip any that don't exist, read in parallel): - `my-context/company-overview.md` — your product context - `my-context/persona-pain-map.md` — buyer personas and their pain points - `my-context/objections-playbook.md` — objection handling - `my-context/signal-pl...

Details

Author
himanshusaleria
Repository
himanshusaleria/gtm-engine
Created
4 months ago
Last Updated
2 weeks ago
Language
TypeScript
License
MIT

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