SkillHub

linkedin-ai-optimizer

v1.0.0

Post updates to LinkedIn, track analytics, and optimize content.

Sourced from ClawHub, Authored by yadavabhijeet4

Installation

Please help me install the skill `linkedin-ai-optimizer` from SkillHub official store. npx skills add yadavabhijeet4/linkedin-ai-optimizer

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. ```bash # 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 asLINKEDIN_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.