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Social Media Generator

Community
ynulihao
social-media-generator

This skill should be used when the user requests social media content creation for Twitter, Instagram, LinkedIn, or Facebook. It generates platform-optimized posts and saves them in an organized folder structure with meaningful filenames based on event details.

Overview

Publisherynulihao
RepositoryAgentSkillOS
Skill namesocial-media-generator
Stars
612
Forks
76
Bundled files
5
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.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Social Media Generator 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.
  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/ynulihao/AgentSkillOS.git /tmp/AgentSkillOS
mkdir -p .claude/skills
cp -r /tmp/AgentSkillOS/data/skill_seeds/social-media-generator .claude/skills/social-media-generator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Social Media Generator 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 Generator 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 Generator 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 Generator

Overview

This skill enables creation of platform-optimized social media content for Twitter, Instagram, LinkedIn, and Facebook. It automatically generates posts tailored to each platform's best practices and saves them in an organized directory structure.

When to Use This Skill

Use this skill when the user requests:

  • Creation of social media posts for multiple platforms
  • Content generation for specific events, announcements, or campaigns
  • Platform-specific content optimization
  • Organized storage of social media content

Core Workflow

Step 1: Gather Information

Collect the following details from the user (ask if not provided):

  • Event/content name
  • Date and time (format: DD-MM-YYYY-HHMM)
  • Main message or announcement
  • Target audience
  • Key details to include
  • Call-to-action
  • Any specific hashtags or mentions
  • Brand voice/tone preferences

Step 2: Generate Platform-Specific Content

Create content for each platform using the templates in assets/:

Twitter (assets/twitter_template.md)

  • Keep under 280 characters
  • Concise and punchy
  • 1-3 relevant hashtags
  • Clear call-to-action
  • Consider emojis for engagement

Instagram (assets/instagram_template.md)

  • Engaging caption with hook in first line
  • More detailed description
  • 5-15 relevant hashtags
  • Visual-focused messaging
  • Line breaks for readability
  • Encourage engagement

LinkedIn (assets/linkedin_template.md)

  • Professional and informative tone
  • Value-driven content
  • Industry insights or takeaways
  • 3-5 professional hashtags
  • Bullet points for key information
  • Discussion-prompting questions

Facebook (assets/facebook_template.md)

  • Conversational and engaging
  • Keep concise (under 250 chars for best engagement)
  • 2-3 relevant hashtags
  • Visual-focused
  • Encourage comments and shares
  • Include event details if applicable

Step 3: Create Organized File Structure

Create the following directory structure in the project:

social-media/
├── twitter/
│   └── event-name-DD-MM-YYYY-HHMM.md
├── instagram/
│   └── event-name-DD-MM-YYYY-HHMM.md
├── linkedin/
│   └── event-name-DD-MM-YYYY-HHMM.md
└── facebook/
    └── event-name-DD-MM-YYYY-HHMM.md

Filename Format: event-name-DD-MM-YYYY-HHMM.md

  • Use lowercase with hyphens for spaces
  • Include date in format: day-month-year-time
  • Example: product-launch-15-03-2025-1400.md

Step 4: Write Content to Files

For each platform:

  1. Generate platform-optimized content based on the templates
  2. Create the platform-specific subdirectory if it doesn't exist
  3. Write the content to the appropriately named markdown file
  4. Include metadata at the bottom (platform, date, character count)

Step 5: Review and Confirm

After generating all posts:

  1. Provide a summary of created files
  2. Highlight key points for each platform
  3. Note any character count warnings
  4. Offer to make revisions if needed

Content Optimization Guidelines

Character Limits

  • Twitter: 280 characters
  • Instagram: 2,200 characters (but concise is better)
  • LinkedIn: 3,000 characters
  • Facebook: Unlimited (but under 250 for best engagement)

Hashtag Strategy

  • Twitter: 1-3 focused hashtags
  • Instagram: 5-15 relevant hashtags
  • LinkedIn: 3-5 professional hashtags
  • Facebook: 2-3 hashtags

Tone Adaptation

  • Twitter: Casual, conversational, timely
  • Instagram: Visual-first, engaging, lifestyle-focused
  • LinkedIn: Professional, insightful, value-driven
  • Facebook: Friendly, community-focused, conversational

Call-to-Action Best Practices

  • Make it clear and specific
  • Use action verbs
  • Create urgency when appropriate
  • Match platform conventions

Example Usage

User Request: "Create social media posts for our product launch event on March 15, 2025 at 2 PM. The product is an AI-powered productivity tool called TaskFlow."

Execution:

  1. Gather additional details (key features, target audience, website link)
  2. Generate four platform-specific posts
  3. Create directory structure: social-media/twitter/, social-media/instagram/, etc.
  4. Write files: taskflow-launch-15-03-2025-1400.md in each platform folder
  5. Provide summary with file locations and key points

Assets

This skill includes template files in the assets/ directory:

  • twitter_template.md - Twitter post structure and best practices
  • instagram_template.md - Instagram caption format and guidelines
  • linkedin_template.md - LinkedIn post structure and professional tone guide
  • facebook_template.md - Facebook post format and engagement tips

These templates serve as reference for platform-specific requirements and best practices when generating content.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Social Media Generator AI skill do?

This skill should be used when the user requests social media content creation for Twitter, Instagram, LinkedIn, or Facebook. It generates platform-optimized posts and saves them in an organized folder structure with meaningful filenames based on event details.

Why use Social Media Generator on TypingMind?

Because you install it once and use it with any model. Social Media Generator 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 Generator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ynulihao/AgentSkillOS/tree/main/data/skill_seeds/social-media-generator. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Social Media Generator?

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 Generator?

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

Is the Social Media Generator AI skill free?

It is published on GitHub by ynulihao. 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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