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kostja94

linkedin-posts

by Kostja Zhang · GitHub ↗ · v1.1.1 · MIT-0
cross-platform ✓ Security Clean
170
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Active Installs
2
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Install in OpenClaw
/install linkedin-posts
Description
When the user wants to create LinkedIn post copy or optimize for LinkedIn. Also use when the user mentions "LinkedIn post," "LinkedIn article," "professional...
README (SKILL.md)

\r

Platforms: LinkedIn\r

\r Guides LinkedIn post copy creation and optimization. Use for generating publish-ready professional content. Suitable for copy agents and design agents (image specs).\r \r When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.\r \r

Output: Publish-Ready Copy\r

\r This skill enables agents to generate LinkedIn post copy optimized for engagement. Output includes character-counted text and structure for the "See more" threshold.\r \r

Character Limits\r

\r | Type | Limit | Notes |\r |------|-------|-------|\r | Post | 3,000 characters | Optimal: 1,300–1,600 |\r | First line (critical) | 210–235 chars | Visible before "See more"; 60–80% decide here |\r | Short posts | 100–200 chars | Polls, announcements, quotes |\r \r

Optimal Length by Content Type\r

\r | Type | Characters | Use |\r |------|------------|-----|\r | Short | 100–200 | Polls, announcements, quotes |\r | Medium | 300–1,200 | Case studies, tips, BTS |\r | Long | 1,200–2,000 | Thought leadership, analysis |\r | Sweet spot | 1,300–1,600 | Highest engagement |\r | Avoid | >2,000 | ~35% engagement drop |\r \r

First Line (Hook)\r

\r

  • Place key message in first 140 chars\r
  • Strong openings: Specific results, pain points, bold claims, surprising stats\r
  • Avoid: Vague teases, hashtag-first, generic greetings\r \r

Image Specs (for Design Agents)\r

\r | Format | Dimensions | Use |\r |--------|------------|-----|\r | Single image | 1200×627 (1.91:1) | Feed; link previews |\r | Square | 1200×1200 | Single image |\r | Carousel | Up to 20 images | Multi-image post |\r | File | ≤10 MB; JPG/PNG | Native uploads perform better |\r | Vertical | Preferred | 88% browse on mobile |\r \r

Best Practices\r

\r

  • Mobile-first: 88% users on mobile\r
  • Polls & PDFs: Highest reach\r
  • Post frequency: Weekly minimum for companies\r
  • Alt text: Add for accessibility\r \r

Output Format\r

\r When generating LinkedIn copy, provide:\r \r

  1. First line (≤210 chars; hook)\r
  2. Full post with character count\r
  3. Hashtags (3→; end of post)\r
  4. Image specs (if design agent needs dimensions)\r \r

Related Skills\r

\r

  • linkedin-ads: Paid promotion on LinkedIn; Sponsored Content, Lead Gen Forms; professional tone aligns with organic posts\r
  • influencer-marketing: LinkedIn influencers for B2B\r
  • about-page-generator: Professional brand alignment\r
  • visual-content: Cross-channel visual planning; LinkedIn image specs in context\r
Usage Guidance
This skill is low-risk and coherent: it's a static guideline for producing LinkedIn posts with no installs or credential requests. You should still: (1) avoid pasting sensitive or private data into prompts (the skill will generate whatever you give it), (2) review any generated copy before posting to LinkedIn for accuracy and compliance, and (3) re-check any future updates to the skill—if it later adds API integrations or install scripts it would require a fresh review.
Capability Analysis
Type: OpenClaw Skill Name: linkedin-posts Version: 1.1.1 The skill bundle contains only metadata and markdown instructions (SKILL.md) for generating LinkedIn post content. It provides character limits, formatting guidelines, and image specifications without any executable code, network activity, or instructions to access sensitive data.
Capability Assessment
Purpose & Capability
Name and description match the content of SKILL.md: guidance for creating LinkedIn posts, hooks, character counts, image specs and output formatting. No unrelated credentials, binaries, or capabilities are requested.
Instruction Scope
SKILL.md contains only formatting and copywriting guidance (character limits, hooks, output layout, image specs). It does not instruct the agent to read files, access environment variables, call external endpoints, or transmit data outside the agent.
Install Mechanism
No install specification and no code files — instruction-only. Nothing is written to disk or downloaded at install time.
Credentials
The skill declares no required environment variables, credentials, or config paths. The guidance does not reference any secrets or unrelated services.
Persistence & Privilege
always:false and default model-invocation settings are used. The skill does not request persistent presence or modify other skills or system settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install linkedin-posts
  3. After installation, invoke the skill by name or use /linkedin-posts
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.1
Automated batch sync
v1.1.0
Automated batch sync
Metadata
Slug linkedin-posts
Version 1.1.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is linkedin-posts?

When the user wants to create LinkedIn post copy or optimize for LinkedIn. Also use when the user mentions "LinkedIn post," "LinkedIn article," "professional... It is an AI Agent Skill for Claude Code / OpenClaw, with 170 downloads so far.

How do I install linkedin-posts?

Run "/install linkedin-posts" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is linkedin-posts free?

Yes, linkedin-posts is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does linkedin-posts support?

linkedin-posts is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created linkedin-posts?

It is built and maintained by Kostja Zhang (@kostja94); the current version is v1.1.1.

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