Cold Email Personalization

Complete cold email system teaching research-driven personalization, "poke the bear" openers, custom signal hunting, and strict QA.

MIT-0 · Free to use, modify, and redistribute. No attribution required.
1 · 693 · 2 current installs · 2 all-time installs
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Benign
high confidence
Purpose & Capability
The name/description (cold email personalization) matches contents: templates, research playbook, QA checklist, and scoring rubric. No unrelated credentials, binaries, or install steps are requested.
Instruction Scope
SKILL.md and assets explicitly instruct using web research and scraping tools (Claygent, ZenRows, Serper, SimilarWeb, LinkedIn) and collecting recent signals. That behavior is consistent with personalization, but it implies network scraping and use of third‑party APIs which are not provided by the skill itself and may require separate credentials, licensing, or legal/ToS review.
Install Mechanism
No install spec and no code files that run. Instruction-only skills have minimal on-disk footprint.
Credentials
The skill declares no env vars, no credentials, and no config paths. The only external requirements are conceptual (access to research/scraping tools), which is proportional to the stated research-driven personalization purpose.
Persistence & Privilege
always:false and no install means the skill does not request permanent presence or elevated privileges. It does not modify other skills or system configs.
Assessment
This skill is an offline playbook (templates + instructions) and appears internally consistent. Before installing/use: 1) confirm whether your agent or environment already has access to the third‑party research/scraping tools named (they typically require API keys and paid accounts); 2) review legal/ToS and privacy implications of scraping LinkedIn or other sites and ensure compliance with GDPR/CAN-SPAM and platform rules; 3) test outputs in a sandbox to ensure variables are not populated with unverified facts (the playbook warns against hallucination — follow that); 4) be cautious about automating sends — validate QA & scoring manually before mass mailing to avoid incorrect or sensitive personalization; 5) if you expect the skill to run network calls, supply credentials only to trusted tools and monitor usage. Overall the skill is coherent with its purpose but depends on external tooling and good operational/ethical controls.

Like a lobster shell, security has layers — review code before you run it.

Current versionv1.0.0
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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

SKILL.md

Cold Email Personalization Skill

When to Use

  • Cold Outbound Ideation: Drafting initial emails and subject lines.
  • Personalization: Mapping research signals to first lines.
  • Sequence Building: Creating follow-up sequences that rotate value propositions.
  • QA & Optimization: Reviewing drafts against a strict rubric before sending.

Framework

  1. Message Market Fit > Cleverness: Show you understand the person/company immediately.
  2. Research IS the Personalization: Custom signals prove you did your homework.
  3. Personalization in the First Line: Use bracketed variables {{...}} or whole-offer strategy.
  4. Tight, Conversational Copy: Plain text, minimal fluff, 60–120 words.
  5. One Job Per Email: Single sharp question or CTA.
  6. Earn Replies, Not Just Meetings: Confirm situation before selling.

Core Principles

  • Targeting > Messaging: Good targeting with bad messaging wastes qualified prospects.
  • Two Paths to Personalization: Custom Signal Research (Path A) vs. Whole Offer Strategy (Path B).
  • The "Specifically" Line: "Specifically, it looks like you're trying to sell to {{customer_type}}..."

Templates

Tips

  • Role-Play First: Always complete the ICP & Objection Mapping before writing.
  • Strict QA: Use the QA Checklist to ensure every email meets the 3:1 recipient:sender ratio.
  • Fresh Signals: Only use signals from the last 90 days.
  • Don't Hallucinate: If you can't verify a fact, don't use it.

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