linkedin-project-post（linkedin 项目帖子）

LinkedIn Project Post

Command

/linkedin-post or linkedin-post

Keywords

linkedin, linkedin post, share project, vibe coding, showcase project, social media post, project announcement, github project, portfolio post

Description

Generate an engaging LinkedIn post to showcase your coding project with excitement, emojis, and a call-to-action for the developer community.

Execution

This skill runs using Claude Code with subscription plan. Do NOT use pay-as-you-go API keys.

Response

I'll generate an exciting LinkedIn post for your project!

The post will include:

Screenshot / Image Attachment

If a live demo URL is provided, always capture a screenshot and attach it as the LinkedIn post image. The screenshot serves as the visual preview that appears with the post — LinkedIn posts with images get significantly more engagement.

Capture Flow

1. Check if the user already has a screenshot or image they want to use. If yes, use that.
2. If a live demo URL is provided and no existing screenshot, auto-capture one using the methods below.
3. Save the screenshot to ~/Downloads/linkedin-screenshot.png.
4. Open the Downloads folder so the user can easily drag-and-drop the image when composing the post.

Using the included script (Recommended)

./scripts/capture-screenshot.sh [URL]
# Saves to ~/Downloads/linkedin-screenshot.png and opens folder

Method 1: Using Puppeteer (Node.js)

npx puppeteer screenshot [URL] --output ~/Downloads/linkedin-screenshot.png --viewport 1200x630

Method 2: Using Shot-scraper (Python)

shot-scraper [URL] -o ~/Downloads/linkedin-screenshot.png --width 1200 --height 630

Method 3: Using Screenshot API

curl "https://api.screenshotone.com/take?url=[URL]&viewport_width=1200&viewport_height=630&format=png" -o ~/Downloads/linkedin-screenshot.png

Recommended Screenshot Settings

• Dimensions: 1200x630px (LinkedIn optimal)
• Format: PNG or JPG
• Save location: ~/Downloads folder
• Full page: No, capture viewport only

Screenshot Tips

• Capture the hero section or main feature
• Ensure the app is in a visually appealing state
• If login required, capture the landing/login page
• Downloads folder opens automatically for easy upload
• Always remind the user to attach the screenshot as the post image on LinkedIn

Instructions

When generating a LinkedIn post, follow this structure:

1. Opening Hook

Start with enthusiasm and relevant emojis:

I'm thrilled to share a vibe-coding project I've been building — [Project Name] — [one-line description]! 🚀✨

2. Links Section

🌐 Check it out: [Live Demo URL]

📦 GitHub repo: [GitHub URL]

3. What It's About

🧭 What it's all about

[2-3 sentences describing the problem it solves and who it's for]

4. Key Features

🚀 Key Features

✅ [Feature 1]
✅ [Feature 2]
✅ [Feature 3]
✅ [Feature 4]
✅ [Feature 5]
… and more to come!

5. Tech Stack

🛠️ Built With

💻 Tech Stack:
• [Technology 1]
• [Technology 2]
• [Technology 3]
• [Technology 4]
• Hosted on [Platform]

6. Call to Action

⭐ Get Involved

Love [topic] or coding? Feel free to fork the project, leave a comment, and start a discussion!
👉 Don't forget to ⭐ star the repo — every star motivates open-source creators like me!

🔗 Repo: [GitHub URL]

7. Hashtags

Add 5-10 relevant hashtags:

#VibeCoding #OpenSource #WebDev #JavaScript #React #BuildInPublic #DevCommunity #100DaysOfCode #CodeNewbie #SideProject

Emoji Guide

Use these emojis appropriately:

• 🚀 Launch/Features
• ✨ Highlights
• 🌐 Web/Live demo
• 📦 GitHub/Package
• 🧭 About/Navigation
• ✅ Features/Checkmarks
• 🛠️ Tech/Tools
• 💻 Code/Development
• ⭐ Star/Call to action
• 👉 Pointer/Direction
• 🔗 Links
• 🎯 Goals/Purpose
• 💡 Ideas/Tips
• 🔥 Hot/Trending

Tone Guidelines

• Enthusiastic but authentic
• Professional yet approachable
• Celebrate the achievement
• Invite collaboration
• Show gratitude to the community

Capabilities

• Generate engaging LinkedIn posts for any coding project
• Auto-post with image via LinkedIn MCP (lurenss/linkedin-mcp or Lnxtanx/LinkedIn-MCP)
• Auto-capture screenshots for post images
• Customize tone based on project type
• Include relevant hashtags for discoverability
• Create compelling calls-to-action
• Highlight tech stack professionally
• Fallback to manual browser flow if no MCP configured

Auto-Post via LinkedIn MCP (Recommended)

If a LinkedIn MCP server is configured, automatically publish the post with the screenshot image instead of opening the browser. This is the preferred flow — zero manual steps.

Supported LinkedIn MCP Servers

Auto-Post Flow

Step 1: Check if LinkedIn MCP is available

Try calling the MCP tool to validate credentials:

• lurenss/linkedin-mcp: Call validate_linkedin_credentials or get_linkedin_profile
• Lnxtanx/LinkedIn-MCP: Call create_post with a dry-run or check for tool availability

If no LinkedIn MCP is configured, fall back to the manual flow (open browser).

Step 2: Post with image (preferred)

Using lurenss/linkedin-mcp:

Tool: create_linkedin_image_post
Arguments:
  text: "<generated post text>"
  image_path: "~/Downloads/linkedin-screenshot.png"

Using Lnxtanx/LinkedIn-MCP:

Tool: create_post
Arguments:
  text: "<generated post text>"
  media_type: "IMAGE"
  media_path: "~/Downloads/linkedin-screenshot.png"

Step 3: Post text-only (fallback if image fails)

If the image upload fails, fall back to a text-only post:

Using lurenss/linkedin-mcp:

Tool: create_linkedin_post
Arguments:
  text: "<generated post text>"

Using Lnxtanx/LinkedIn-MCP:

Tool: create_post
Arguments:
  text: "<generated post text>"
  media_type: "TEXT"

Step 4: Confirm success

After posting, report the result:

=== LinkedIn Post Published ===

Status: PUBLISHED
Type:   Image post
Image:  ~/Downloads/linkedin-screenshot.png

Your post is now live on LinkedIn!

MCP Setup (One-time)

To enable auto-posting, the user must configure a LinkedIn MCP server. Guide them through setup if not configured:

Option A: lurenss/linkedin-mcp (Node.js)

1. Create a LinkedIn Developer App at https://www.linkedin.com/developers/
2. Add OAuth redirect URI: http://localhost:8080/callback
3. Request "Share on LinkedIn" and "Sign In with LinkedIn" products
4. Generate an access token (valid 60 days)
5. Add to Claude Code MCP config (~/.claude/settings.json or project .mcp.json):

{
  "mcpServers": {
    "linkedin-mcp": {
      "command": "node",
      "args": ["/path/to/linkedin-mcp/build/index.js"],
      "env": {
        "LINKEDIN_CLIENT_ID": "your_client_id",
        "LINKEDIN_CLIENT_SECRET": "your_client_secret",
        "LINKEDIN_ACCESS_TOKEN": "your_access_token"
      }
    }
  }
}

Option B: Lnxtanx/LinkedIn-MCP (Python/FastMCP)

1. Same LinkedIn Developer App setup as above
2. Get access token with w_member_social scope
3. Get your Member URN (urn:li:person:XXXXXXXXXX)
4. Configure credentials in main.py
5. Run: uv run fastmcp dev main.py

Manual Fallback (No MCP)

If no LinkedIn MCP is configured, fall back to the manual browser flow:

Open LinkedIn to Post

open "https://www.linkedin.com/feed/?shareActive=true"

Manual Steps

1. Screenshot auto-captured and saved to ~/Downloads/linkedin-screenshot.png
2. LinkedIn compose page opens in browser
3. Paste the generated post text
4. Attach the screenshot as the post image → Click the photo icon → upload linkedin-screenshot.png from Downloads
5. Tag relevant people or companies if applicable
6. Post during peak LinkedIn hours (Tue-Thu, 8-10am)
7. Engage with comments promptly

Next Steps

After the post is published (via MCP or manually):

1. Verify the post appears on your LinkedIn feed
2. Check that the image/screenshot is displaying correctly
3. Tag relevant people or companies if applicable
4. Post during peak LinkedIn hours (Tue-Thu, 8-10am) for best engagement
5. Engage with comments promptly
6. Share the post link with your team

Tip: LinkedIn posts with images receive up to 2x more engagement than text-only posts. Always include the screenshot.