game-theory-iterated

Analyze repeated interactions to determine when cooperation can be sustained.

212|23|Updated May 23, 2026
One-click install
npx skills add https://github.com/human-avatar/skills-for-humanity --skill game-theory-iterated
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: game-theory-iterated
Source: https://github.com/human-avatar/skills-for-humanity/tree/main/skills/game-theory-iterated
Command: npx skills add https://github.com/human-avatar/skills-for-humanity --skill game-theory-iterated

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you analyze and design strategies for repeated interactions where defection can spiral, and where you need cooperation to last over time despite mistrust or betrayal.

Core Features & Use Cases

  • Iterated game analysis: translates a real-world ongoing relationship into stage-game payoffs (CC, DD, exploitation) to determine whether repetition can make cooperation rational.
  • Shadow-of-the-future modeling: evaluates time horizon, relationship value, continuation likelihood, and impatience to estimate whether future incentives can outweigh short-term gains from defection.
  • Strategy selection & recovery: recommends concrete long-run strategies (e.g., Tit for Tat, Generous Tit for Tat, Grim Trigger, Win-Stay Lose-Shift) and provides a recovery path after betrayal.

Use case examples: negotiating recurring partnerships, managing trust dynamics after a dispute, structuring rules for competitive settings (where “cheating” is tempting), or rebuilding cooperation after a breakdown in repeated collaboration.

Quick Start

Ask the AI to analyze your situation as a repeated two-party game and recommend the best iterated strategy, including how to prevent and recover from a defection spiral.

Frequently Asked Questions about game-theory-iterated

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

FAQPage Schema
How do I sustain cooperation in a repeated prisoner's dilemma scenario?

To sustain cooperation in a repeated prisoner's dilemma, you analyze long-run interactions by mapping stage-game payoffs and evaluating the discount factor to determine if future incentives outweigh short-term defection gains.

What is the shadow of the future in iterated game theory?

The shadow of the future in iterated game theory represents the value of continued interaction. It models time horizon, continuation probability, and impatience to determine if future rewards can rationally sustain ongoing cooperation.

Which strategy best prevents defection spirals in long-running negotiations?

To prevent defection spirals in long-running negotiations, strategies like Tit for Tat, Generous Tit for Tat, or Grim Trigger are evaluated based on observability and credible punishment conditions to maintain stable partnerships.

How do I rebuild trust and recover cooperation after a breakdown in a partnership?

To rebuild trust and recover cooperation after a breakdown, you apply recovery paths from iterated strategies like Generous Tit for Tat or Win-Stay Lose-Shift, which structurally forgive defection while discouraging future exploitation.

When do folk theorem conditions allow cooperation in iterated games?

Folk theorem conditions allow cooperation in iterated games when players have a sufficiently high discount factor, actions are observable, and credible punishment mechanisms exist to enforce long-run mutual agreements.

Can I use game theory analysis for recurring competitive partnerships where cheating is tempting?

Yes, game theory analysis applies to recurring competitive partnerships by translating repeated interactions into stage-game payoffs, evaluating continuation likelihood, and selecting rules that make cooperation rational despite cheating temptations.