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linkedin-post领英帖子

Agent Skill

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。

总安装

544

周安装

22

GitHub Stars

219

下载量

171
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

3

许可证

MIT

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-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

简介

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。

SKILL.md

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*

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

04

需要参考平台分布和安装热度时

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

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27.79%
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22.11%
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19.44%
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openclaw

12.6%
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OpenCode

7.54%
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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

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