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Agent Skill · 研究检索

social-media(社交媒体)

social-media 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。

social-media 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,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 37,928。

总安装 1,646周安装 70GitHub Stars 4,539下载 577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:social-media(社交媒体)
来源仓库:https://github.com/epicenterhq/epicenter
仓库路径:skills/social-media
安装命令:
npx skills add https://github.com/epicenterhq/epicenter --skill social-media
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/epicenterhq/epicenter --skill social-media

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。

social-media 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词快速定位候选结果时使用。适用于社交媒体内容创作、产品更新公告和技术要点分享等场景,支持 LinkedIn、Twitter/X 和 Reddit 等平台。

通过命令行调用,需结合来源仓库 README 确认具体用法,安装前建议核实权限范围和联网需求。注意维护状态及是否触发文件读写或命令执行,避免生成模板化或过度营销的文案内容。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。

来源仓库内路径:skills/social-media

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/epicenterhq/epicenter --skill social-media;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

    它需要需要联网,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

social-media 怎么安装?

在终端执行 npx skills add https://github.com/epicenterhq/epicenter --skill social-media。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

social-media 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。

social-media 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

social-media 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。

social-media 用的人多吗?

公开数据是累计安装 1,646 次,近一周安装 70 次,下载 577 次,GitHub 4,539 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。

social-media 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

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
social-media

社交媒体 · 本页

1,6464,539需要联网MIT通过

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

Social Media Post Guidelines

Follow writing-voice for tone.

When to Apply This Skill

Use this pattern when you need to:

  • Draft LinkedIn, Twitter/X, or Reddit posts about product or technical updates.
  • Announce features without hashtags, hype language, or template sections.
  • Share implementation details developers actually care about.
  • Reshape AI-sounding copy into concise, platform-native writing.
  • Build short threads where each post carries a concrete standalone point.

Platform-Specific Brevity

  • LinkedIn: 3-5 lines max. State the feature, drop the link, done.
  • Twitter/X: Each tweet should have ONE idea. Don't overexplain.
  • Reddit technical subs: Focus on implementation details, not benefits

What to Remove

  • All hashtags except when platform culture expects them
  • Section headers in post content ("## Implementation", "## Benefits")
  • Bullet lists of features/benefits
  • Marketing phrases ("game-changing", "seamless", "powerful")
  • Call-to-action phrases ("See it in action!", "Try it today!")
  • Redundant adjectives ("excellent", "really")

What to Add

  • Specific technical details that developers care about
  • Actual implementation challenges and solutions
  • Links to relevant libraries/APIs used
  • One unique feature detail ("with your model of choice")
  • Disclaimers when recommending tools ("Not affiliated, it just...")
  • Personal standards/opinions ("by my standards", "slated for cleanup")
  • Proper punctuation for transitions (semicolons, periods; not space-hyphens)

Examples: Twitter/X

Single Tweet (Feature Announcement)

Good:

Whispering now does file uploads. Drag audio/video files in, get transcription out. Works with any OpenAI-compatible API.

Open source: github.com/EpicenterHQ/epicenter

Bad:

🚀 Exciting news! Whispering now supports file uploads!

Drag and drop your files for instant AI-powered transcription. This is a game-changer for productivity! 🎯

Try it now 👇
github.com/EpicenterHQ/epicenter

#OpenSource #AI #Productivity

Single Tweet (Technical Insight)

Good:

TIL: Tauri's onDragDropEvent works where web drag-and-drop doesn't. If you're building a desktop app with web tech, native drag-and-drop is ~20 lines and handles file paths the OS way.

Bad:

Just discovered something amazing about Tauri! 🤯

Their native drag-and-drop API is incredibly powerful and seamlessly handles file operations that web APIs simply can't match.

This is why I love building with Tauri! 💪

The difference: the good tweet teaches something specific. The bad tweet expresses enthusiasm about nothing in particular.

Thread Structure (2-4 tweets max)

When a single tweet isn't enough, use a short thread. Each tweet should be self-contained enough to make sense if someone sees it in isolation.

Good:

Tweet 1:
Built a CRDT-based table storage that's 1935x smaller than Y.Map for the same data. The trick: store cells as "rowId:colId" keys in a flat array with LWW timestamps.

Tweet 2:
Y.Map creates one CRDT entry per key, each with metadata overhead. A flat YKeyValue array stores raw entries with timestamps; conflict resolution happens in userland. 524KB → 271 bytes for a 50-row table.

Tweet 3:
Trade-off: you lose Y.Map's built-in observe() granularity. We rebuilt it with a CellStore layer that parses keys and emits typed change events. Worth it for the storage savings.

Source: github.com/EpicenterHQ/epicenter

Bad:

Tweet 1:
🧵 Thread: How we achieved a massive 1935x improvement in our CRDT storage! Let me walk you through our journey...

Tweet 2:
First, let's understand the problem. Y.Map is great but creates significant overhead...

Tweet 3:
So what did we do? We implemented an innovative approach using...

Tweet 4:
The results were absolutely incredible! Here are the key benefits:
- 1935x smaller storage
- Faster sync times
- Better conflict resolution

Tweet 5:
If you found this helpful, please RT and follow for more content like this! 🙏

The good thread: each tweet has a concrete fact. The bad thread: tweet 1 is a hook, tweet 2 is setup, and the information doesn't start until tweet 3. The "please RT" closer is an instant credibility loss.

Examples: LinkedIn Posts

Good (Actual Human Post)

Whispering now supports direct file uploads!

Simply drag and drop (or click to browse) your audio files for instant transcription, with your model of choice.

Free open-source app: https://github.com/EpicenterHQ/epicenter

Bad (AI-Generated Feel)

Excited to announce that Whispering now supports direct file uploads!

This game-changing feature allows you to:
- Drag and drop any audio/video file
- Get instant, accurate transcriptions
- Save time and boost productivity

Built with the same philosophy of transparency and user control, you pay only actual API costs (just 2c/hour!) with no hidden fees or subscriptions.

Ready to revolutionize your workflow? Try it now!

GitHub: https://github.com/EpicenterHQ/epicenter

#OpenSource #Productivity #Innovation #DeveloperTools #Transcription

Examples: Reddit Technical Posts

Good (Focused on Implementation)

Hey r/sveltejs! Just shipped a file upload feature for Whispering and wanted to share how I implemented drag-and-drop files.

I used the [FileDropZone component from shadcn-svelte-extras](https://www.shadcn-svelte-extras.com/components/file-drop-zone), which provided a clean abstraction that allows users to drop and click to upload files:

<FileDropZone accept="{ACCEPT_AUDIO}, {ACCEPT_VIDEO}" maxFiles={10} maxFileSize={25 * MEGABYTE} onUpload={(files) => { if (files.length > 0) { handleFileUpload(files); } }} />


The component handles web drag-and-drop, but since Whispering is a Tauri desktop app, drag-and-drop functionality didn't work on the desktop (click-to-select still worked fine). So I reached for Tauri's [onDragDropEvent](https://tauri.app/reference/javascript/api/namespacewebviewwindow/#ondragdropevent) to add native support for dragging files anywhere into the application.

You can see the [full implementation here](link) (note that the code is still somewhat messy by my standards; it is slated for cleanup!).

Whispering is a large, open-source, production Svelte 5 + Tauri app: https://github.com/EpicenterHQ/epicenter

Feel free to check it out for more patterns! If you're building Svelte 5 apps and need file uploads, definitely check out shadcn-svelte-extras. Not affiliated, it just saved me hours of implementation time.

Happy to answer any questions about the implementation!

Bad (Marketing-Focused)

## The Problem
Users were asking for file upload support...

## The Solution
I implemented a beautiful drag-and-drop interface...

## Key Benefits
- User-friendly interface
- Supports multiple file formats
- Lightning-fast processing

## Why This Matters
This transforms the user experience...

平台分布

Claude Code

28.79%
按下载量换算166

Gemini CLI

21.04%
按下载量换算121

Antigravity

18.62%
按下载量换算107

OpenCode

12.99%
按下载量换算75

Codex

8.37%
按下载量换算48

windsurf

3.34%
按下载量换算19

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

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