Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install hiyenwong-ai-collection-collection-skills-learning-to-cooperate-compete-and-communicategit clone https://github.com/hiyenwong/ai_collection.gitcp ai_collection/SKILL.MD ~/.claude/skills/hiyenwong-ai-collection-collection-skills-learning-to-cooperate-compete-and-communicate/SKILL.md--- name: learning-to-cooperate-compete-and-communicate---le description: Skill for AI agent capabilities --- # learning-to-cooperate-compete-and-communicate - Learning to cooperate, compete, and communicate ## Description Multiagent environments where agents compete for resources are stepping stones on the path to AGI. Multiagent environments have two useful properties: first, there is a natural curriculum—the difficulty of the environment is determined by the skill of your competitors (and if you’re competing against clones of yourself, the environment exactly matches your skill level). Second, a multiagent environment has no stable equilibrium: no matter how smart an agent is, there’s always pressure to get smarter. These environments have a very different feel from traditional environments, and it’ll take a lot more research before we become good at them. **Source:** https://openai.com/index/learning-to-cooperate-compete-and-communicate **Date:** Thu, 08 Jun 2017 07:00:00 GMT **Category:** OpenAI Research ## Activation Keywords - learning to cooperate, compete, and communicate - openai learning-to-cooperate-compete-and-communicate - learning to cooperate compete and communicate ## Core Concepts ### Key Points - Extract from OpenAI research paper - See original paper for detailed methodology ## Step-by-Step Instructions ### 1. Background ```python # Research background # See original paper: https://openai.com/index/learning-to-cooperate-compete-and-communicate ``` ### 2. Implementation ```python # Implementation details # Refer to OpenAI's official implementation ``` ## Tools Used - `read` - Read research papers - `web_fetch` - Fetch online resources - `exec` - Run implementation code ## Example Use Cases ### 1. Basic Usage ```python # Example usage based on research ``` ## Instructions for Agents Follow these steps when applying this skill: ### Step 1: Background ## Examples ### Example 1: Basic Application **User:** I need to apply learning-to-cooperate-compete-and-communicate - Learning to cooperate, compete, and communicate to my analysis. **Agent:** I'll help you apply learning-to-cooperate-compete-and-communicate. First, let me understand your specific use case... **Context:** Apply the methodology ### Example 2: Advanced Scenario **User:** Complex analysis scenario **Agent:** Based on the methodology, I'll guide you through the advanced application... ### Example 2: Advanced Application **User:** What are the key considerations for learning-to-cooperate-compete-and-communicate? **Agent:** Let me search for the latest research and best practices... ## Related Skills - Other OpenAI research skills ## References - https://openai.com/index/learning-to-cooperate-compete-and-communicate --- **Created:** 2026-03-29 14:26 **Author:** Aerial (from OpenAI Research)