humanizerai/agent-skills/cold-email

Claude Code and agent skill by humanizerai/agent-skills

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Write cold emails that get replies using proven frameworks (AIDA, PAS, BAB). Enforces best practices like 50-125 word limit and personalized openers.

Install

npx vskill@latest install humanizerai/agent-skills/cold-email

SKILL.md

Write Cold Email

Generate a cold email that gets responses using proven copywriting frameworks.

Input

Parse $ARGUMENTS for:

  • Target: Who they're emailing (role, company, industry)
  • Goal: What they want (meeting, intro, feedback, sale)
  • Context: Personalization hooks (mutual connection, recent news, specific pain point)

If arguments are incomplete, ask for the missing pieces.

Frameworks (Choose the best fit)

AIDA (Awareness → Interest → Desire → Action)
  • Hook with relevance
  • Build interest with value
  • Create desire with proof/benefit
  • Clear CTA
PAS (Problem → Agitate → Solution)
  • Identify their problem
  • Make it feel urgent
  • Position as the solution
BAB (Before → After → Bridge)
  • Their current state (problem)
  • Their ideal state (outcome)
  • How you bridge the gap

Hard Rules

  1. 50-125 words - Shorter emails get more replies
  2. Subject line: 3-5 words, lowercase, no clickbait
  3. First line: Personalized - reference something specific about them
  4. No fluff: Cut "I hope this email finds you well", "My name is...", "I wanted to reach out"
  5. One CTA: Single, specific ask (not "let me know if you're interested")
  6. Read time: Under 30 seconds
  7. Mobile-friendly: Short paragraphs, no walls of text

What Makes It Human

  • Sounds like a real person, not a template
  • Has a specific reason for emailing THIS person
  • Shows you did research
  • Doesn't oversell or use hype words
  • Has a clear "what's in it for them"

Output Format

Subject: [subject line]
[Email body]
[First name only]

Framework used: [which one and why] Personalization: [what angle you used] Word count: [number]

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
51
Repository forks
7
7-day trend score
12

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 30 Mar 2026, 7 months ago.

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