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Cold Email Personalization

作者 xeroc · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
1041
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2
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4
当前安装
1
版本数
在 OpenClaw 中安装
/install cold-email-personalization
功能描述
Complete cold email system teaching research-driven personalization, "poke the bear" openers, custom signal hunting, and strict QA.
使用说明 (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.
安全使用建议
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.
功能分析
Type: OpenClaw Skill Name: cold-email-personalization Version: 1.0.0 The skill bundle is designed for cold email personalization, providing detailed instructions for an AI agent on research, content generation, and quality assurance. It guides the agent to use implied tools like web scrapers (Claygent, ZenRows), search APIs (Serper), and intelligence platforms (SimilarWeb, LinkedIn) to gather publicly available information for email personalization. There are no instructions for accessing sensitive user data, performing unauthorized actions, exfiltrating data to external endpoints, or executing malicious code. Instructions like 'Don't Hallucinate' and 'Never invent facts' promote responsible AI behavior. The 'Value Bomb' instruction in `assets/follow-up-strategy.md` is a marketing tactic for offering data, not an instruction for unauthorized data exfiltration.
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install cold-email-personalization
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /cold-email-personalization 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
- Initial release of the cold-email-personalization skill. - Provides a complete system for crafting cold emails with research-driven personalization and high QA standards. - Includes templates and frameworks for research, custom signal mapping, sequence creation, and follow-up strategies. - Emphasizes conversational copy, single-focused emails, and reply-first goals. - Offers detailed playbooks, QA checklists, scoring rubrics, and real campaign examples.
元数据
Slug cold-email-personalization
版本 1.0.0
许可证
累计安装 4
当前安装数 4
历史版本数 1
常见问题

Cold Email Personalization 是什么?

Complete cold email system teaching research-driven personalization, "poke the bear" openers, custom signal hunting, and strict QA. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1041 次。

如何安装 Cold Email Personalization?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install cold-email-personalization」即可一键安装,无需额外配置。

Cold Email Personalization 是免费的吗?

是的,Cold Email Personalization 完全免费(开源免费),可自由下载、安装和使用。

Cold Email Personalization 支持哪些平台?

Cold Email Personalization 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Cold Email Personalization?

由 xeroc(@xeroc)开发并维护,当前版本 v1.0.0。

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