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social-media

Drafts engaging social media posts, writes hooks, suggests hashtags, creates thread structures, and generates companion images.

Skill by langchain-aiOfficial

IndexedMIT★ 30,550
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/langchain-ai-social-media

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

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.

Use cases: writing, marketing, agent-building, social-media

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/social-media

What's inside

Skill name
social-media
Description
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.
License
MIT
Instructions
182 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# 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"
)
```

3. 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`.

From langchain-ai/deepagents, MIT.

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Stars
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Forks
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Open issues
163
Last commit (this folder)
Mar 17, 2026 (7 months ago)
Last release
Oct 23, 2026 (3 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

social-media skill. Agent Mart. https://agentmart.dev/skills/langchain-ai-social-media (last updated 2026-10-24)