Social media post generator
Skill xmqywx/claude-code-skills/skills/social-media-post-generator
17 professional Claude Code skills - code review, API scaffold, n8n workflow generator, and more
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What its author says it does
Copied from the file, not written here
Generate platform-optimized social media posts from any input (URL, topic, product, or file)
SKILL.md
2.7 KB, 663 tokens by cl100k_base, as published. Nobody here has run it
Social Media Post Generator
Generate a complete set of platform-specific social media posts from any input source.
Steps
1. Understand the Input
Ask the user for:
- Source: URL, topic, product details, file path, or paste content
- Platforms: Twitter/X, LinkedIn, Instagram, Facebook, TikTok (default: all)
- Brand voice: professional / casual / witty / inspirational / technical
- CTA: What action should readers take?
- Hashtag preference: auto-generate, use specific ones, or none
If a URL is provided, fetch and extract the key content first.
2. Generate Platform-Specific Posts
For each requested platform, generate content following these rules:
Twitter/X (max 280 chars)
- Hook in first line
- Use line breaks for readability
- End with CTA or question
- 2-4 hashtags max
- Optional: thread format (up to 5 tweets) for longer content
LinkedIn (150-300 words)
- Professional tone with personal angle
- Start with attention-grabbing first line
- Use line breaks every 1-2 sentences
- Include 3-5 relevant hashtags at end
- End with question to drive engagement
Instagram Caption (100-200 words)
- Lead with value or story
- Use emojis strategically (not excessively)
- Include CTA (link in bio, save this, share)
- 15-25 hashtags in first comment block
- Suggest image/carousel concept
Facebook (50-150 words)
- Conversational and shareable
- Ask a question or share insight
- Minimal hashtags (0-3)
- Suggest link preview text
TikTok Caption (50-100 words)
- Hook format: "POV:" or "Wait for it" style
- Trending hashtag suggestions
- Suggest video concept in 1-2 sentences
3. Output Format
Present each post in a clearly labeled section:
## Twitter/X
[post content]
## LinkedIn
[post content]
## Instagram
Caption: [caption]
First Comment Hashtags: [hashtags]
Image Concept: [description]
## Facebook
[post content]
## TikTok
Caption: [caption]
Video Concept: [description]
4. Variations (Optional)
If the user wants A/B testing options, generate 2 variants for each platform with different hooks.
5. Scheduling Suggestions
Recommend optimal posting times for each platform:
- Twitter: 9-11 AM, 1-3 PM
- LinkedIn: 7-9 AM, 5-6 PM (weekdays)
- Instagram: 11 AM-1 PM, 7-9 PM
- Facebook: 1-4 PM
- TikTok: 7-9 PM, 12-3 PM
Rules
- Never exceed platform character limits
- Adapt tone per platform while maintaining brand consistency
- Use power words that drive engagement
- Include accessibility considerations (describe images, avoid all-caps)
- Make content native to each platform — not the same post copy-pasted
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most social media skills give in 663 tokens
Counted across 489 of the 492 authors here whose files we hold, read 2026-08-07
- Adapt formats and tone to each platformin 26 of 489, across 14 files
- Build content around three to five pillarsin 25 of 489, across 13 files
- Read product marketing context before asking questionsin 23 of 489, across 13 files
- Respond to all comments on your postsin 21 of 489, across 9 files
- Use the output flag to specify an output directoryin 14 of 489, across 4 files
- Generate output logo images with white backgroundin 13 of 489, across 4 files
- Fix failing generation scripts directlyin 13 of 489, across 4 files
- Ask user about HTML preview after logo generationin 12 of 489, across 3 files
- Run the download script with a URLin 12 of 489, across 3 files
- Implement exponential backoff for 429 responsesin 12 of 489, across 3 files
- Write the hook firstin 12 of 489, across 7 files
- Include a single clear call to actionin 12 of 489, across 9 files
Said here and by no other author read
- ask the user for the source
- ask the user for the brand voice
- ask the user for the call to action
- ask the user for hashtag preference
- generate content per platform rules
- present posts in labelled sections
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.