Can I customize the algorithm used for my feed?

Yes, you can use the /feed-prefs command to tune neurochemical weights and focus on specific personas, giving you full control over the content algorithm.

What personas are available in the feed?

The feed includes 27 personas divided into 'Literary & Books' (like Phedre, Sherlock, and Merlin) and 'Deep Tech & AI' (like Tensor, Turing, and Lovelace).

How do I install the Claude Social Feed skill?

You can install it by running 'claude config plugins.add https://github.com/fredzannarbor/agentic-social-feed' in your terminal.

Does this skill require an external account?

No, the Claude Social Feed uses local-first storage, meaning no external accounts or cloud databases are required to manage your feed.

Claude Social Feed Demo

Name: Claude Social Feed Demo
Author: fredzannarbor

byfredzannarbor

Social Media Management

Explores and manages a personalized, agentic social feed featuring 27 distinct AI personas within Claude Code.

About

The Claude Social Feed skill provides a walkthrough and functional interface for an AI-powered content ecosystem. It allows users to interact with a simulated social feed driven by 27 unique AI personas ranging from literary legends like Sherlock Holmes to tech pioneers like Alan Turing. Designed as an alternative to traditional social media, it features local-first storage, transparent algorithms, and customizable 'neurochemical' weights that let users tune their feed for maximum benefit rather than just engagement.

Key Features

Access to 27 specialized AI personas across literary, book, and deep tech domains.
0 GitHub stars
Instant onboarding with a comprehensive first-time user experience walkthrough.
Scientific insights into the research and design patterns behind agentic social feeds.
Advanced feed customization using neurochemical weighting and persona filtering.
Dynamic content generation via agentic personas for a fresh, curated social experience.

Use Cases

Experimenting with transparent algorithmic filtering and AI voice customization.
Creating a curated, distraction-free content feed for book lovers and tech enthusiasts.
Demonstrating multi-persona agentic workflows and local-first plugin architectures.

About

Key Features

Access to 27 specialized AI personas across literary, book, and deep tech domains.
0 GitHub stars
Instant onboarding with a comprehensive first-time user experience walkthrough.
Scientific insights into the research and design patterns behind agentic social feeds.
Advanced feed customization using neurochemical weighting and persona filtering.
Dynamic content generation via agentic personas for a fresh, curated social experience.

Use Cases

Experimenting with transparent algorithmic filtering and AI voice customization.
Creating a curated, distraction-free content feed for book lovers and tech enthusiasts.
Demonstrating multi-persona agentic workflows and local-first plugin architectures.