melancholy

Apply a melancholic mindstate to prioritize long-term meaning in reasoning workflows.

10|Updated Feb 26, 2026

Search Tags:#memory #context-awareness #longterm #mindstate #melancholy #humane-decision

Ready to run

npx skills add https://github.com/olivierlesnicki/addhumanity --skill melancholy

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: melancholy
Source: https://github.com/olivierlesnicki/addhumanity/tree/main/skills/melancholy
Command: npx skills add https://github.com/olivierlesnicki/addhumanity --skill melancholy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Melancholy provides a cognitive mode that slows thinking to value memory, context, and long-term meaning over short-term optimization.

Core Features & Use Cases

Reflective reasoning prioritizes durable meaning and consideration of human costs.
Context-aware judgment incorporates memory, cultural memory, and future impact into decisions.
Use Case: When you want AI agents to weigh long-term consequences, ethical considerations, and nuanced tradeoffs rather than chasing immediate efficiency.

Quick Start

Invoke melancholy mode by setting the agent's mindstate to melancholic and proceed with the decision task.

Frequently Asked Questions about melancholy

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

FAQPage Schema

How do I make AI agents consider long-term consequences instead of short-term optimization?▼

To make AI agents value long-term consequences over short-term optimization, apply a melancholy mindstate that triggers slow, memory-aware reasoning. This cognitive mode adjusts the agent to weigh durable meaning and human impact before finalizing decisions.

What is slow reasoning in AI and when do I need context-aware judgment?▼

Slow reasoning in AI is a cognitive mode that prioritizes memory, context, and long-term meaning over immediate efficiency. You need context-aware judgment for decisions with extended horizons, ethical considerations, and nuanced human impact tradeoffs.

How do I configure an agent's mindstate for ethical decision-making workflows?▼

You configure an agent's mindstate for ethical decision-making by setting its operational mode to melancholic. This invokes a reflective reasoning workflow that incorporates memory, cultural context, and future impact into the decision-making process.

Can I use memory-aware reasoning for automated decisions with extended horizons?▼

Yes, you can use memory-aware reasoning for automated decisions with extended horizons. The melancholy mindstate is specifically designed to operate across workflows requiring consideration of long-term consequences and human costs rather than chasing immediate efficiency.

When should I avoid slow reasoning in AI agent workflows?▼

You should avoid slow reasoning in AI agent workflows when tasks require rapid responses, immediate efficiency, or short-term optimization without significant human impact considerations. The melancholy mindstate intentionally trades processing speed for durable meaning and context-aware judgment.