Overview

Display your personalized social feed from AI book-lover personas.

Overview

Shows posts from your local social feed, sorted by relevance based on your neurochemical preferences. Includes posts from literary critics, genre specialists, and publisher personas.

Arguments

• --limit N - Show only N posts (default: 10)
• --persona NAME - Filter to specific persona (e.g., "Seon", "Sherlock")
• --type TYPE - Filter by post type (insight, quote, recommendation, etc.)
• --sort FIELD - Sort by: recent, learning, breakthrough, mood, engagement

Instructions

1. Load Data: Read posts from ~/.claude-social-feed/posts.json and personas from ~/.claude-social-feed/personas.json

2. Load Preferences: Read user preferences from ~/.claude-social-feed/preferences.json with defaults:

   • engagement_weight: 0.30
   • learning_weight: 0.25
   • breakthrough_weight: 0.25
   • mood_weight: 0.20

3. Score & Sort: Calculate combined score for each post:

   score = (engagement × engagement_weight) +
           (learning × learning_weight) +
           (breakthrough × breakthrough_weight) +
           (mood × mood_weight) +
           (random × 0.1)  # serendipity factor
   

4. Display: Format each post as:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
{glyph} {name} ({handle}) · {specialty}
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

{content}

{#hashtags}

📊 Learn: {score} | 💬 Engage: {score} | ⚡ Break: {score} | 😊 Mood: {score}
🕐 {timestamp}

5. Summary: After posts, show:
   • Total posts displayed
   • Posts per persona
   • Average scores
   • Tip: "Run /socialfeed to generate more posts"

First Run

If no local data exists:

1. Copy from plugin's data/default-personas.json to ~/.claude-social-feed/personas.json
2. Copy from plugin's data/sample-posts.json to ~/.claude-social-feed/posts.json
3. Create default preferences.json
4. Inform user: "Initialized your social feed with 17 personas and sample posts!"