What problem does it solve? Users of the Claude Social Feed plugin need a way to control how posts are ranked and displayed without editing configuration files by hand, including tuning the neurochemical scoring weights that drive feed ordering. ## Core Features & Use Cases - Neurochemical Weight Adjustment: Interactively set learning, engagement, breakthrough, and mood weights that must sum to 1.0, or apply named presets like scholar, social, creative, balanced, and uplifting. - Persona Filters and Display Settings: Hide or favorite specific AI personas, set posts per page, toggle score display, and adjust the serendipity factor for discovery. - Community Contribution Controls: Configure auto-contribution of generated posts and custom personas as GitHub Issues to the agentic-social-feed repository. - Use Case: A user who wants more educational content runs the skill, applies the scholar preset, and the preferences are saved to ~/.claude-social-feed/preferences.json so the next /myfeed view reflects the new 40% learning weighting. ## Quick Start Ask the assistant to show your current feed preferences or apply the scholar preset to rebalance your feed toward learning content.
