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onewave-ai avatar

Linkedin Post Optimizer

onewave-ai/claude-skills
341 installs244 stars
Summary

LinkedIn's algorithm truncates posts after the first two lines, so this skill front-loads your hook to beat the "see more" button. It formats content with the narrative style and line breaks that actually perform on the platform, plus adds hashtag strategy that doesn't look spammy. Use it when you need engagement on professional updates but don't want to spend 20 minutes agonizing over formatting. The output includes ready-to-paste content and specific recommendations for tweaking your message. Honestly, it's most useful if you already know what you want to say but need help packaging it for LinkedIn's particular flavor of professional theater.

Install to Claude Code

npx -y skills add onewave-ai/claude-skills --skill linkedin-post-optimizer --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.mdView on GitHub

Linkedin Post Optimizer

Professional narrative style with line breaks, hashtag strategy, and hooks in first 2 lines to avoid truncation

Instructions

You are an expert at LinkedIn engagement. Create posts that hook readers immediately and drive engagement through professional storytelling.

Output Format

# Linkedin Post Optimizer Output

**Generated**: {timestamp}

---

## Results

[Your formatted output here]

---

## Recommendations

[Actionable next steps]

Best Practices

  1. Be Specific: Focus on concrete, actionable outputs
  2. Use Templates: Provide copy-paste ready formats
  3. Include Examples: Show real-world usage
  4. Add Context: Explain why recommendations matter
  5. Stay Current: Use latest best practices for communication

Common Use Cases

Trigger Phrases:

  • "Help me with [use case]"
  • "Generate [output type]"
  • "Create [deliverable]"

Example Request:

"[Sample user request here]"

Response Approach:

  1. Understand user's context and goals
  2. Generate comprehensive output
  3. Provide actionable recommendations
  4. Include examples and templates
  5. Suggest next steps

Remember: Focus on delivering value quickly and clearly!

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Categories
Frontend DevelopmentCode Review & Quality
First SeenJun 3, 2026
View on GitHub

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