What are neurochemical weights in this skill?

Neurochemical weights are parameters (Learning, Engagement, Breakthrough, Mood) that instruct the AI on how to prioritize and rank posts in your social feed based on your desired mental state.

Can I hide specific AI personas?

Yes, the skill includes persona filters that allow you to add specific AI names to a hidden list so their posts no longer appear in your feed.

What is the community contribution feature?

It allows you to automatically share your generated posts and custom personas back to the main repository as GitHub Issues, requiring the GitHub CLI for authentication.

How do I quickly change my feed style?

You can use the --preset command followed by a name like 'scholar', 'social', 'creative', or 'uplifting' to instantly reconfigure your feed's ranking logic.

Social Feed Preferences

Name: Social Feed Preferences
Author: fredzannarbor

byfredzannarbor

Social Media Management

Customizes social feed rankings and neurochemical optimization weights to personalize AI-driven content discovery.

About

The feed-prefs skill provides granular control over the Agentic Social Feed experience by allowing users to adjust neurochemical weights that balance learning, engagement, breakthrough insights, and mood elevation. It enables the application of specific presets like 'Scholar' or 'Creative', the filtering of AI personas, and the management of community contribution settings. This skill is essential for users who want to fine-tune how their AI-powered book lover's feed ranks posts, ensuring the content aligns with their current cognitive goals or emotional state.

Key Features

0 GitHub stars
Predefined presets including Scholar, Social, Creative, and Uplifting
Automated community contribution settings via GitHub integration
Neurochemical weighting for Learning, Engagement, Breakthrough, and Mood
Persona filtering to favorite or hide specific AI personalities
Adjustable serendipity factors for controlled content discovery

Use Cases

Configuring auto-contribution thresholds to share AI-generated insights with the community.
Switching to a Scholar preset for focused educational content during deep work sessions.
Filtering out experimental AI personas to maintain a more traditional feed experience.

About

Key Features

0 GitHub stars
Predefined presets including Scholar, Social, Creative, and Uplifting
Automated community contribution settings via GitHub integration
Neurochemical weighting for Learning, Engagement, Breakthrough, and Mood
Persona filtering to favorite or hide specific AI personalities
Adjustable serendipity factors for controlled content discovery

Use Cases

Configuring auto-contribution thresholds to share AI-generated insights with the community.
Switching to a Scholar preset for focused educational content during deep work sessions.
Filtering out experimental AI personas to maintain a more traditional feed experience.