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Agent Skill · 研究检索

linkedin-post(领英帖子)

linkedin-post 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

linkedin-post 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证为 MIT,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 52,870。

总安装 544周安装 22GitHub Stars 219下载 171核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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-post(领英帖子)
来源仓库:https://github.com/different-ai/agent-bank
仓库路径:skills/linkedin-post
安装命令:
npx skills add https://github.com/different-ai/agent-bank --skill linkedin-post
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/different-ai/agent-bank --skill linkedin-post

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

该技能用于 LinkedIn 帖子内容的检索与筛选。适合需要分析热门话题、行业趋势或用户互动数据的场景。可根据关键词或发布时间范围定位目标帖子集合。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。使用前请核实是否允许爬取公开内容及频率限制规则。

linkedin-post 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/linkedin-post

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/different-ai/agent-bank --skill linkedin-post;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

linkedin-post 怎么安装?

在终端执行 npx skills add https://github.com/different-ai/agent-bank --skill linkedin-post。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

linkedin-post 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

linkedin-post 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

linkedin-post 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

linkedin-post 用的人多吗?

公开数据是累计安装 544 次,近一周安装 22 次,下载 171 次,GitHub 219 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

linkedin-post 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
linkedin-post

领英帖子 · 本页

544219操作浏览器MIT有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

What I Do

Draft LinkedIn posts that apply learnings from the Tweet Lab performance tracker, adapted for LinkedIn's professional audience. This skill bridges the gap between Twitter/X learnings and LinkedIn's different engagement patterns.

The Process

1. RESEARCH  -> Check Tweet Lab for what hooks/patterns work
2. CONTEXT   -> Review 0 Finance messaging guidelines (avoid SEC red flags)
3. DRAFT     -> Write post using winning patterns
4. ADAPT     -> Adjust tone for LinkedIn (more professional, same authenticity)
5. REVIEW    -> Check against compliance guidelines

Key Learnings from Tweet Performance Data

What Works (High Engagement)

PatternExampleWhy It Works
Personal story hook"I always wished existed"Creates emotional connection
Demo/Show formatVideo + screenshotsVisual proof > claims
Relatable pain point"Download PDF, read it, find bank details..."Audience nods along
Casual lowercase"thank you claude + playwright mcp"Feels authentic, not corporate
Before/After transformationOld way vs new wayClear value proposition
No interface flex"No login, no dashboard"Simplicity is aspirational

What Doesn't Work (Low Engagement)

Anti-PatternExampleWhy It Fails
Generic product description"Created a small agent that..."No hook, no story
Feature lists without context"Features: X, Y, Z"No emotional resonance
Corporate tone"We're excited to announce..."Feels like marketing
No visualText-only postsScroll-past material

Hook Types (Ranked by Performance)

  1. Demo/Show - 96K-172K impressions when done well
  2. Bold Claim - Can go viral (9.4M) but risky
  3. Personal Story - Consistent performer
  4. Question - Good for engagement, lower reach
  5. List - Works with visuals, fails without

LinkedIn Adaptations

Tone Shift

TwitterLinkedIn
all lowercaseSentence case (but still casual)
"lol" / "tbh"Remove or use sparingly
Thread formatSingle post with line breaks
Memes/jokesProfessional humor only

Structure That Works on LinkedIn

[Hook - 1-2 lines that stop the scroll]

[Context - Why this matters / the problem]

[The insight / solution - What you built/learned]

[Proof - Demo, screenshot, or specific example]

[CTA - Soft ask, not salesy]

LinkedIn-Specific Tips

  1. First line is everything - Only ~150 chars show before "see more"
  2. Line breaks = readability - Use them liberally
  3. Bullet points work - But don't overdo it
  4. Tag sparingly - Only if genuinely relevant
  5. No hashtags in body - Put 3-5 at the very end if at all
  6. Video > Image > Text - Same as Twitter

0 Finance Messaging Compliance

NEVER Say (SEC Red Flags)

  • "Earn X% APY"
  • "We manage your funds"
  • "AI automatically allocates"
  • "Guaranteed returns"
  • "Start earning today"

ALWAYS Say Instead

  • "Current yields: ~X% APY" or "Historical yields of X-Y%"
  • "You control your wallet"
  • "Configure your wallet to interact with protocols"
  • "Access yields" (not "earn")
  • "Your funds, your control"

Safe Messaging Patterns

"Your wallet can be configured to..."
"Non-custodial architecture"
"You maintain full custody"
"Direct protocol interaction"
"Withdraw anytime"

Template: Video Teaser Post

[Personal hook about the problem]

I do most of my work in [X] interfaces:
- [Tool 1]
- [Tool 2]
- [Tool 3]

But [specific task] still felt stuck in [year].

[Describe the old painful way - be specific]

So we built something different.

[Describe the new way - focus on simplicity]

No [thing]. No [thing]. Just [simple action].

Full demo dropping soon. Here's a preview.

[Video/Image]

Template: Product Demo Post

[Bold claim or question hook]

[1-2 sentences of context]

Here's how it works:

1. [Step 1 - user action]
2. [Step 2 - what happens]
3. [Step 3 - outcome]

That's it.

[What this means / why it matters]

[Soft CTA]

[Video/Image]

Template: Behind-the-Scenes Post

[What you've been working on]

For the past [time period], I've been [doing X].

The problem: [specific pain point]

What we tried:
- [Approach 1] - didn't work because [reason]
- [Approach 2] - got closer but [limitation]
- [Approach 3] - this is the one

[What you learned / the insight]

[Optional: what's next]

Checklist Before Posting

  • First line hooks (would YOU stop scrolling?)
  • Personal angle (not corporate voice)
  • Specific details (not generic claims)
  • Visual attached (video > image > carousel > text)
  • No SEC red flag language
  • Soft CTA (not salesy)
  • Line breaks for readability
  • Under 3000 characters (LinkedIn limit)

Notion Integration

Finding Tweet Learnings

Search the Tweet Lab database:
notion_notion-search with query: "worked video demo"
data_source_url: "collection://a6913492-bfdc-4f6a-b539-ea98b57a2738"

Checking Compliance

Fetch the marketing audit:
notion_notion-fetch with id: "2b58ed524fef813384e1c63e6ae17186"

Example: AI Email Agent Video Teaser

Input

  • Video showing: Forward email to AI, AI reads invoice, queues transfer
  • Key features: No login, no dashboard, email-native

Output (Recommended)

I do most of my work in 3 interfaces:

- ChatGPT
- Gmail
- An agentic coding platform

This year, AI has automated away tasks I used to hate but couldn't avoid.

But one thing still felt stuck in 2015: paying invoices.

Download PDF. Read it. Find bank details. Open banking app. Type everything in. Hope I didn't make a typo.

So we built something different.

Now when I get an invoice from a contractor, I just forward the email to our AI agent. It reads the PDF, extracts the bank details, checks if we have enough funds, and queues the transfer for my approval.

No dashboard. No login. Just email.

Full demo dropping soon. Here's a preview.

[Video]

Why This Works

  1. Hook: "3 interfaces" - specific, relatable to knowledge workers
  2. Pain point: Invoice payment friction - universal problem
  3. Transformation: Old way (5 steps) vs new way (1 step)
  4. Proof: Video demo
  5. Compliance: No yield promises, focuses on automation not returns
  6. CTA: Soft teaser, not salesy

Anti-Patterns to Avoid

The Corporate Announcement

We're excited to announce our new AI-powered email agent!
This innovative solution helps businesses streamline their
financial operations with cutting-edge technology.

Learn more: [link]

Why it fails: No hook, corporate voice, no specifics, no proof

The Feature Dump

New features in our AI agent:
- Invoice processing
- Balance checking
- Transfer queuing
- Email integration
- PDF parsing

Try it today!

Why it fails: No story, no context, no "so what?"

The Humble Brag

Just hit 10,000 users on our platform!
So grateful for this amazing community.
Here's to the next 10,000!

Why it fails: Self-congratulatory, no value for reader


*Last Updated: January 2026* *Based on: Tweet Lab performance data + 0 Finance messaging guidelines*

平台分布

Claude Code

27.79%
按下载量换算48

windsurf

22.11%
按下载量换算38

Cursor

19.44%
按下载量换算33

openclaw

12.6%
按下载量换算22

OpenCode

7.54%
按下载量换算13

Codex

3.52%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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