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Social Media

OrganizationPopular
langchain-ai
social-media

Drafts engaging social media posts, writes hooks, suggests hashtags, creates thread structures, and generates companion images. Use when the user asks to write a LinkedIn post, tweet, Twitter/X thread, social media caption, social post, or repurpose content for social platforms.

Overview

Publisherlangchain-ai
Repositorydeepagents
Skill namesocial-media
Stars
29.9K
Forks
4.2K
Bundled files
Instructions only
LicenseMIT
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 langchain-ai 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/langchain-ai/deepagents/tree/main/examples/content-builder-agent/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/langchain-ai/deepagents.git /tmp/deepagents
mkdir -p .claude/skills
cp -r /tmp/deepagents/examples/content-builder-agent/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 Content Skill

Research First (Required)

Before writing any social media content, you MUST delegate research:

  1. Use the task tool with subagent_type: "researcher"
  2. In the description, specify BOTH the topic AND where to save:
task(
    subagent_type="researcher",
    description="Research [TOPIC]. Save findings to research/[slug].md"
)

Example:

task(
    subagent_type="researcher",
    description="Research renewable energy trends in 2025. Save findings to research/renewable-energy.md"
)
  1. After research completes, read the findings file before writing

Output Structure (Required)

Every social media post MUST have both content AND an image:

LinkedIn posts:

linkedin/
└── <slug>/
    ├── post.md        # The post content
    └── image.png      # REQUIRED: Generated visual

Twitter/X threads:

tweets/
└── <slug>/
    ├── thread.md      # The thread content
    └── image.png      # REQUIRED: Generated visual

Example: A LinkedIn post about "prompt engineering" → linkedin/prompt-engineering/

You MUST complete both steps:

  1. Write the content to the appropriate path
  2. Generate an image using generate_image and save alongside the post

A social media post is NOT complete without its image.

Platform Guidelines

LinkedIn

Format:

  • 1,300 character limit (show more after ~210 chars)
  • First line is crucial - make it hook
  • Use line breaks for readability
  • 3-5 hashtags at the end

Tone:

  • Professional but personal
  • Share insights and learnings
  • Ask questions to drive engagement
  • Use "I" and share experiences

Structure:

[Hook - 1 compelling line]

[Empty line]

[Context - why this matters]

[Empty line]

[Main insight - 2-3 short paragraphs]

[Empty line]

[Call to action or question]

#hashtag1 #hashtag2 #hashtag3

Twitter/X

Format:

  • 280 character limit per tweet
  • Threads for longer content (use 1/🧵 format)
  • No more than 2 hashtags per tweet

Thread Structure:

1/🧵 [Hook - the main insight]

2/ [Supporting point 1]

3/ [Supporting point 2]

4/ [Example or evidence]

5/ [Conclusion + CTA]

Image Generation

Every social media post needs an eye-catching image. Use the generate_social_image tool:

generate_social_image(prompt="A detailed description...", platform="linkedin", slug="your-post-slug")

The tool saves the image to <platform>/<slug>/image.png.

Social Image Best Practices

Social images need to work at small sizes in crowded feeds:

  • Bold, simple compositions - one clear focal point
  • High contrast - stands out when scrolling
  • No text in image - too small to read, platforms add their own
  • Square or 4:5 ratio - works across platforms

Writing Effective Prompts

Include these elements:

  1. Single focal point: One clear subject, not a busy scene
  2. Bold style: Vibrant colors, strong shapes, high contrast
  3. Simple background: Solid color, gradient, or subtle texture
  4. Mood/energy: Match the post tone (inspiring, urgent, thoughtful)

Example Prompts

For an insight/tip post:

Single glowing lightbulb floating against a deep purple gradient background, lightbulb made of interconnected golden geometric lines, rays of soft light emanating outward. Minimal, striking, high contrast. Square composition.

For announcements/news:

Abstract rocket ship made of colorful geometric shapes launching upward with a trail of particles. Bright coral and teal color scheme against clean white background. Energetic, celebratory mood. Bold flat illustration style.

For thought-provoking content:

Two overlapping translucent circles, one blue one orange, creating a glowing intersection in the center. Represents collaboration or intersection of ideas. Dark charcoal background, soft ethereal glow. Minimalist and contemplative.

Content Types

Announcement Posts

  • Lead with the news
  • Explain the impact
  • Include link or next step

Insight Posts

  • Share one specific learning
  • Explain the context briefly
  • Make it actionable

Question Posts

  • Ask a genuine question
  • Provide your take first
  • Keep it focused on one topic

Quality Checklist

Before finishing:

  • Post saved to linkedin/<slug>/post.md or tweets/<slug>/thread.md
  • Image generated alongside the post
  • First line hooks attention
  • Content fits platform limits
  • Tone matches platform norms
  • Has clear CTA or question
  • Hashtags are relevant (not generic)

Frequently asked questions

What does the Social Media AI skill do?

Drafts engaging social media posts, writes hooks, suggests hashtags, creates thread structures, and generates companion images. Use when the user asks to write a LinkedIn post, tweet, Twitter/X thread, social media caption, social post, or repurpose content for social platforms.

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/langchain-ai/deepagents/tree/main/examples/content-builder-agent/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?

Yes. It is published on GitHub by langchain-ai under the MIT license. 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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