Token导航 LogoToken导航TokenDH.com
研究检索只读clawhub未标认证来源可访问clear审计通过

ai-cold-email-linkedin-generatorai 冷电子邮件 linkedin 生成器

Agent Skill

ai-cold-email-linkedin-generator 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

5,167

周安装

207

GitHub Stars

公开资料未说明

下载量

1,673
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ai-cold-email-linkedin-generator(ai 冷电子邮件 linkedin 生成器)
来源仓库:https://github.com/dttnpole-commits/ai-cold-email-linkedin-generator
安装命令:
openclaw skills install ai-cold-email-linkedin-generator
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install ai-cold-email-linkedin-generator

简介

生成高回复率的冷邮件与LinkedIn私信模板及跟进序列。

  • 支持B2B销售推广文案的A/B测试变体创建功能。
  • 基于数据分析优化措辞以提高潜在客户响应概率。
  • 安装命令:openclaw skills install ai-cold-email-linkedin-generator。
  • 使用时请注意遵守各平台反垃圾邮件相关规定。

SKILL.md

name
ai-cold-email-linkedin-generator
description
>
license
MIT-0
user-invocable
true
disable-model-invocation
false
compatibility
argument-hint
>
Provide
product/service description, target audience, pain points,
metadata
category
Sales & Marketing
subcategory
Outbound Sales
version
1.2.0
author
ClawHub Skill Publisher
language
en
tags

AI Cold Email & LinkedIn Outreach Generator

Generate complete B2B outreach sequences — personalized, human-sounding, and optimized for reply rate. No templates. No "hope this finds you well." Just copy that actually gets responses.


What This Skill Does

Given a product, audience, and context, this skill generates:

  • Cold Email — two subject line options + body copy under 120 words
  • LinkedIn DM — conversational message under 80 words
  • Follow-Up #1 — sent 3–5 days after initial outreach, adds new value
  • Follow-Up #2 — short final bump at day 7–10, leaves the door open
  • A/B Test Variants — two cold email versions with different angles

(pain-led vs. outcome/curiosity-led)

All output sounds like a real human wrote it at 8am — not a robot.


Skill Files

ai-cold-email-linkedin-generator/
├── SKILL.md       ← You are here
├── manifest.json  ← Deployment metadata
├── prompt.txt     ← Core generation logic
├── config.json    ← Input field definitions
└── README.md      ← End-user documentation

When to Trigger This Skill

Trigger immediately when the user says anything like:

  • "write me a cold email" / "sales email" / "outreach email"
  • "help me reach out to leads / prospects / clients"
  • "draft a LinkedIn message / DM / InMail"
  • "I need outreach copy" / "prospecting copy"
  • "SDR templates" / "BDR outreach" / "cold outreach sequence"
  • "follow up on my cold email" / "write a follow-up"
  • "write a breakup email" / "closing the loop email"
  • "A/B test my outreach" / "two versions of my email"
  • Mentions Apollo, Instantly, Lemlist, Outreach, Salesloft, or LinkedIn Sales Navigator

Required Inputs

Collect all required fields in a single ask — do not ask one at a time.

FieldRequiredDescription
product_serviceWhat you sell — be specific
target_audienceJob title, company type, size
pain_points1–3 real problems the prospect faces
offerThe single CTA (demo, call, question)
sender_nameYour name
sender_roleYour title and company
prospect_nameOptionalAdds personalization
prospect_companyOptionalAdds personalization
personalization_hookOptionalA recent post, news item, or observation
toneOne of four presets (see below)
output_typeWhich formats to generate

Tone Presets

ValueDescription
friendly_professionalWarm but credible. Like a trusted advisor. (Default)
direct_confidentNo fluff. 3 punchy sentences.
curious_consultativeQuestion-led. Low pressure.
casual_peerFounder-to-founder. Very short. Could be from a phone.

Output Type Options

ValueWhat It Generates
cold_emailEmail with two subject line options
linkedin_dmLinkedIn message under 80 words
followup_1Follow-Up #1 (day 3–5)
followup_2Follow-Up #2 / Final Bump (day 7–10)
ab_variantsTwo cold email variants for split testing

Generation Rules (Enforced in prompt.txt)

Hard Word Limits

  • Cold emails: 120 words maximum
  • LinkedIn DMs: 80 words maximum
  • Follow-Up #1: 6 lines maximum
  • Follow-Up #2: 4 lines maximum
  • One CTA per message only

Banned Phrases (Never Use)

"I hope this email finds you well" · "I wanted to reach out" · "synergy" · "leverage" · "circle back" · "touch base" · "game-changer" · "revolutionary" · "cutting-edge" · "seamlessly" · "disruptive" · "innovative solution"

Spam Filter Rules

  • No links in cold emails
  • No trigger words: "free", "guarantee", "no obligation", "act now", "limited time"
  • Subject lines: 3–7 words, lower-case preferred, no emojis or exclamation marks

Human Tone Rules

  • Use contractions: we're, I've, it's, you'll
  • Vary sentence length — short punchy lines mixed with longer ones
  • Lead with the prospect's world, not your product
  • Every message ends with a clear, easy-to-answer question

Output Format

📧 COLD EMAIL
  Subject Line A: ...
  Subject Line B: ...
  [body — plain text, no bullets, no bold]
  [signature]

💼 LINKEDIN DM
  [conversational message, no formal sign-off]

🔁 FOLLOW-UP #1
  Subject: Re: ...
  [4–6 lines, new value or social proof]
  [signature]

🔁 FOLLOW-UP #2
  Subject: Closing the loop
  [2–4 lines, leave door open]
  [signature]

🧪 A/B TEST VARIANTS
  Version A — Pain-Led Opening
  Version B — Outcome/Curiosity-Led Opening

Example

Input:

Product: AI scheduling tool that auto-books meetings from email threads
Audience: Chiefs of Staff at 200–1000 person companies
Pain: 2–3 hours/day on scheduling back-and-forth
Offer: 10-minute live demo on their real calendar
Sender: Jordan Kim, Co-founder at ScheduleAI
Prospect: Maria at Vercel
Hook: Saw her LinkedIn post about async work last week
Tone: Friendly & Professional
Output: Cold Email + LinkedIn DM

Cold Email:

Subject Line A: the scheduling tax at vercel Subject Line B: 2 hours a day on calendar back-and-forth?

Maria,

Saw your post about async work last week — completely agree. One async killer that doesn't get enough attention: scheduling. The 6-email thread just to find a 30-min slot.

We built ScheduleAI for that. It reads email threads and books meetings automatically — no back-and-forth, no links, no time zone math. Teams like yours are recovering 2–3 hours a week per person.

Worth a 10-minute look? I can demo it on your actual calendar.

Jordan Kim Co-founder, ScheduleAI


LinkedIn DM:

Maria — your post about async work resonated. Scheduling is the silent async killer most people don't fix.

We built a tool that books meetings straight from email threads — zero back-and-forth. Teams are saving 2+ hours a week.

Would it be useful to see a quick demo on your actual calendar?


Compatible Platforms

Apollo.io · Instantly.ai · Lemlist · Smartlead · Outreach.io · Salesloft · HubSpot Sequences · Gmail · Outlook · LinkedIn Sales Navigator


Limitations

  • Generates copy only — does not send emails or connect to platforms
  • Personalization quality depends on the hook you provide
  • Always review before sending — AI copy is a strong starting draft
  • Do not use for bulk unsolicited email in violation of CAN-SPAM, GDPR, or CASL

Changelog

VersionDateNotes
1.2.02026-03-22Fixed frontmatter, A/B variants, tone presets, follow-up sequence
1.0.02026-01-10Initial release

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

78.5%
按下载量换算1,313

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills