LinkedIn Skill

Post updates, track performance, and optimize your content for maximum reach.

Setup & Authentication

1. Create an App: Go to LinkedIn Developers, create an app, and add the "Sign In with LinkedIn" and "Share on LinkedIn" products.
2. Generate Token: Use the included helper script to generate an OAuth 2.0 Access Token.

   # Set your credentials
   export LINKEDIN_CLIENT_ID="your_client_id"
   export LINKEDIN_CLIENT_SECRET="your_client_secret"
   export LINKEDIN_REDIRECT_URI="http://localhost:8000/callback"
   
   # Run the auth helper
   uv run /opt/homebrew/lib/node_modules/openclaw/skills/linkedin/scripts/linkedin_auth.py
   

3. Save Token: Save the generated token as LINKEDIN_ACCESS_TOKEN in your environment.

Usage

1. Optimize & Feedback Loop (New!)

Analyze your draft against top-performing posts before you publish. Requires GEMINI_API_KEY.

uv run /opt/homebrew/lib/node_modules/openclaw/skills/linkedin/scripts/linkedin_feedback.py "Your draft text here..."

2. Posting

Preview (Default):

uv run /opt/homebrew/lib/node_modules/openclaw/skills/linkedin/scripts/linkedin.py "Your post text"

Publish:

uv run /opt/homebrew/lib/node_modules/openclaw/skills/linkedin/scripts/linkedin.py "Your post text" --confirm

3. Analytics

View Stats: Reads from linkedin_history.jsonl and fetches current stats (Requires r_member_social).

uv run /opt/homebrew/lib/node_modules/openclaw/skills/linkedin/scripts/linkedin_analytics.py

Configuration

• LINKEDIN_ACCESS_TOKEN: Valid OAuth 2.0 Access Token.
• GEMINI_API_KEY: Required for the Feedback Loop/Optimizer.