showmethescience

Explains the research rationale behind the feed's neurochemical optimization framework.

Updated Dec 22, 2025
One-click install
npx skills add https://github.com/fredzannarbor/agentic-social-feed --skill showmethescience-fredzannarbor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: showmethescience
Source: https://github.com/fredzannarbor/agentic-social-feed/tree/main/skills/showmethescience
Command: npx skills add https://github.com/fredzannarbor/agentic-social-feed --skill showmethescience-fredzannarbor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Users of the agentic social feed may wonder why it is designed differently from engagement-maximizing platforms and what scientific evidence supports its four-factor scoring model. This Skill presents the research rationale so users can understand and trust the design. ## Core Features & Use Cases - Problem Analysis: Explains how traditional social media hijacks reward systems through dopamine spikes, cortisol elevation, and infinite scroll patterns. - Four-Factor Model: Details the Learning (acetylcholine), Engagement (dopamine), Breakthrough (norepinephrine), and Mood (serotonin/endorphins) dimensions with cited research. - Design Principles: Describes five principles including no variable reward schedules, finite curated content, and transparent scoring. - Use Case: A new user runs the command to understand why the feed scores posts on learning and mood rather than raw engagement, then reviews cited papers by Hasselmo, Schultz, and Twenge. ## Quick Start Ask the assistant to show you the science behind the feed's neurochemical optimization framework.

Frequently Asked Questions about showmethescience

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the science behind neurochemical feed optimization?

The framework scores content on four dimensions mapped to neurochemicals: learning (acetylcholine), engagement (dopamine), breakthrough (norepinephrine), and mood (serotonin/endorphins). It draws on research by Hasselmo, Schultz, and Aston-Jones to balance cognitive benefit rather than maximize engagement.

How does this feed differ from traditional social media?

Traditional platforms use variable reward schedules, infinite scroll, and outrage-driven content that spike dopamine and cortisol. This feed uses finite curated content, transparent scoring, and consistent quality without manipulation patterns.

What research supports the four-factor scoring model?

The model cites Hasselmo (2006) on acetylcholine and memory, Schultz (1997) on dopamine prediction errors, Aston-Jones and Cohen (2005) on norepinephrine, and Young (2007) on serotonin. It also references Twenge et al. (2018) on social media harms.

Can I adjust the neurochemical balance of my feed?

Yes, the framework is user-controlled. After reviewing the science, you can run the feed-prefs command to adjust weights across learning, engagement, breakthrough, and mood dimensions to match your goals.

Does this approach have limitations or criticisms?

The framework is presented as a hypothesis rather than proven outcome, claiming better retention and mood without post-use regret. The neurochemical mappings are simplified models of complex brain chemistry and should be read as design heuristics.