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SKILL verified MIT Self-run

Social Media

skill-markdevshop-ag3nt-social-media · by markdevshop

Use this skill when creating short-form social media content for LinkedIn, Twitter/X, or other platforms

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Install

$ agentstack add skill-markdevshop-ag3nt-social-media

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Social Media Content Skill

This skill provides guidelines for creating engaging social media content that drives engagement and shares.

When to Use This Skill

Use this skill when asked to:

  • Write a LinkedIn post
  • Create a Twitter/X thread
  • Draft social media announcements
  • Repurpose blog content for social

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

Twitter/X threads:

tweets/
└── /
    ├── 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 //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//post.md or tweets//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)

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.