Social Media logo

Social Media

OrganizationPopular
EpicenterHQ
social-media

Draft social posts for LinkedIn, Reddit, or Twitter/X. Use when asked to write a post, tweet, announcement, or platform-specific version.

Overview

PublisherEpicenterHQ
Repositoryepicenter
Skill namesocial-media
Stars
4.8K
Forks
386
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by EpicenterHQ on GitHub. Read the source before you install it.

Installation

Install the Social Media AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/EpicenterHQ/epicenter/tree/main/.agents/skills/social-media
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/EpicenterHQ/epicenter.git /tmp/epicenter
mkdir -p .claude/skills
cp -r /tmp/epicenter/.agents/skills/social-media .claude/skills/social-media
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Social Media in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Social Media on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Social Media is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Social Media Post Guidelines

Follow writing-voice for tone.

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:

```svelte
<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...

Frequently asked questions

What does the Social Media AI skill do?

Draft social posts for LinkedIn, Reddit, or Twitter/X. Use when asked to write a post, tweet, announcement, or platform-specific version.

Why use Social Media on TypingMind?

Because you install it once and use it with any model. Social Media is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Social Media in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/EpicenterHQ/epicenter/tree/main/.agents/skills/social-media. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Social Media?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Social Media?

As many as you like. As long as a model supports skills, you can use Social Media with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Social Media AI skill free?

It is published on GitHub by EpicenterHQ. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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