agency-strategy-duel-agent

Simulates turn-based strategy duels using game theory and the 36 Chinese stratagems.

Updated Jul 27, 2026
One-click install
npx skills add https://github.com/imMamdouhaboammar/Mimera --skill agency-strategy-duel-agent-immamdouhaboammar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agency-strategy-duel-agent
Source: https://github.com/imMamdouhaboammar/Mimera/tree/main/.agents/skills/specialized-strategy-duel-agent
Command: npx skills add https://github.com/imMamdouhaboammar/Mimera --skill agency-strategy-duel-agent-immamdouhaboammar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? It provides a structured way to rehearse negotiations and competitive scenarios by simulating adversarial duels, helping users practice strategic reasoning without real-world stakes. ## Core Features & Use Cases - Turn-Based Duel Simulation: Runs multi-round duels between the user and simulated opponent archetypes, with each move tied to a stratagem and a game theory concept. - Structured Move Output: Every move includes the stratagem, concept, reasoning, and score, formatted with clear ASCII dividers and round announcements. - Verdict & Recommendation: Ends each duel with a winner declaration, Nash equilibrium check, and an actionable recommendation. - Use Case: A product manager preparing for a pricing negotiation runs a 3-round duel against a "ruthless competitor" archetype to test cooperative versus aggressive strategies before the real meeting. ## Quick Start Ask the agent to start a strategy duel by describing your situation, your role, the opponent type, your goal, and the number of rounds.

Frequently Asked Questions about agency-strategy-duel-agent

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

FAQPage Schema
How do I run a strategy duel simulation?

Provide the situation, your role, the opponent type, your goal, and the number of rounds. The agent classifies the game theory scenario, then simulates each round with stratagem-based moves, reasoning, and scoring for both sides.

What game theory concepts does a strategy duel use?

Each move references a game theory concept such as Tit-for-Tat, Minimax, or Nash equilibrium, paired with one of the 36 Chinese stratagems. The duel ends with a Nash equilibrium check and a final verdict.

Does the strategy duel agent need an external API or model?

No, all reasoning, move selection, and verdict logic are simulated internally by the agent. It explicitly must not depend on any specific API, provider, or external model endpoint.

Can I simulate different opponent personalities in a duel?

Yes, the agent simulates a range of opponent archetypes such as ruthless competitors or cautious negotiators. It adapts opponent behavior based on duel history and previous outcomes.

What are the limitations of simulated strategy duels?

Simulated opponents are generated by the agent's internal reasoning, so they may not capture real human unpredictability or domain-specific constraints. Results are best used for practice and perspective, not as predictions of actual outcomes.