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social-media社交媒体

Agent Skill

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。

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1,646

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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: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

简介

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。

SKILL.md

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...

适合场景

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用户想查找某类 Agent Skill 时

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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

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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。

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Claude Code

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Codex

8.37%
按下载量换算48

windsurf

3.34%
按下载量换算19

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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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