Orchestrate Perudo games between AI agents with JSON state.
npx skills add https://github.com/mdementyev/my-claude-harness --skill perudo
Please help me install this Agent Skill. Skill: perudo Source: https://github.com/mdementyev/my-claude-harness/tree/main/skills/perudo Command: npx skills add https://github.com/mdementyev/my-claude-harness --skill perudo
Perudo orchestrates a game between AI agents by enforcing rules and narrating the action. It coordinates game state, validates bids, resolves rounds, and narrates outcomes, allowing humans to observe AI bluffing and strategy without handling low-level mechanics.
Start a new game by running the engine with a player count (2–6) to initialize state and spawn AI agents.
High-intent search queries and answers about installing and using this skill.
You can simulate AI agents playing Perudo by running a Python 3 game engine that enforces rules, validates bids, and narrates outcomes. The engine orchestrates 2-6 AI players and exchanges game state as JSON.
Perudo simulations support Palifico rounds where ones act as wild cards in standard rounds but lose their wild status during Palifico. The engine script enforces these specific bid validation and resolution rules.
Deterministic Perudo outcomes are achieved through a seedable engine script that processes all game mechanics. This allows you to reproduce exact match sequences, bid validations, and player eliminations across multiple runs.
Yes, the Perudo engine handles game state coordination and rule enforcement automatically while providing per-player views and dramatic narration. This allows you to analyze AI bluffing dynamics without handling low-level mechanics.
Yes, Python 3 is required to execute the included Perudo game engine script. The script manages game initialization, bid application, round resolution, and JSON state exchange for the AI agents.
A simulated Perudo match supports between 2 and 6 AI players. The game engine initializes the state based on your specified player count and orchestrates the bidding and elimination process for all participants.
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