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linkedin-success-factorsLinkedIn 的成功因素

Agent Skill

linkedin-success-factors 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

1,053

周安装

43

GitHub Stars

109

下载量

341
CodexClaudeCursorGemini CLI

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

unknown

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:linkedin-success-factors(LinkedIn 的成功因素)
来源仓库:https://github.com/sachacoldiq/coldiq-s-gtm-skills
仓库路径:skills/linkedin-success-factors
安装命令:
npx skills add https://github.com/sachacoldiq/coldiq-s-gtm-skills --skill linkedin-success-factors
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/sachacoldiq/coldiq-s-gtm-skills --skill linkedin-success-factors

简介

该技能用于 GitHub 仓库与代码协作信息管理。

  • 适合处理 Issue、Pull Request 及项目状态跟踪。
  • 可在多宿主环境中提供协作流程支持。
  • 使用前应确认是否涉及敏感仓库或私有项目访问权限。
  • linkedin-success-factors 属于待分类类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

LinkedIn Key Success Factors

The 7 Rules

1. Do Not Breach Limits

Most important rule

  • Stay under 400 connections/month
  • Stay under 120 interactions/day
  • Build in buffer for safety

2. Target Active Users Only

Don't waste your 400 connection requests

  • Use "Posted within 30 days" filter
  • Check for recent activity
  • Avoid dormant profiles

3. Keep Messages Super Short

3-4 sentences maximum

  • One paragraph only
  • No walls of text
  • Get to the point fast

4. Incorporate Eye-Catching Lead Magnet

Stand out in the inbox

  • Loom videos (high engagement)
  • LinkedIn posts (social proof)
  • Webinar links (value offer)
  • Newsletter signups (nurture path)

5. Make Steps Appear Human

Avoid bot-like behavior

  • Randomize timing between actions
  • Don't follow exact same sequence every time
  • Mix in genuine engagement
  • Take breaks

6. Schedule Within Audience Timezone

Maximize inbox visibility

  • 9 AM - 6 PM their time
  • Weekdays only
  • Tuesday-Thursday optimal
  • Avoid Monday mornings, Friday afternoons

7. Message When They're Online

Inbox popup maximizes open rate

  • Check "Active now" indicator
  • Time zones matter
  • Business hours priority

Campaign Checklist

Before launching any LinkedIn campaign:

  • Targets filtered to active users (30-day post activity)
  • Messages under 4 sentences
  • Connection request volume under 20/day
  • Sequence mimics human behavior
  • Scheduling matches target timezone
  • Lead magnet or value hook included
  • Follow-up sequence planned
  • Account warm-up completed (if needed)

Performance Benchmarks

MetricGoodGreatExcellent
Connection acceptance25%35%45%+
Message response10%15%20%+
Meeting booked2%5%8%+

Common Mistakes

  1. Sending pitch in connection request - Save it for message
  2. Generic first message - Personalize to their profile
  3. Too many follow-ups - 2-3 max, then stop
  4. Ignoring response timing - Reply quickly
  5. Not warming up account - Critical for new/dormant accounts

Combines with

SkillWhy
linkedin-campaign-completeFull campaign execution
linkedin-limits-warmupStay within limits
personalization-hooksCreate hooks for messages
gtm-philosophyMulti-channel coordination

Example prompts

Review my LinkedIn campaign against the 7 success factors.
What lead magnet should I use for targeting RevOps managers?
How do I make my LinkedIn sequence appear more human?

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

38.34%
按下载量换算131

Claude

30.74%
按下载量换算105

Cursor

19.54%
按下载量换算67

Gemini CLI

8.94%
按下载量换算30

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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

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