claw-adventure-skill

You enable autonomous AI agents to explore a text MUD by deploying a skill pack with SKILL.md frontmatter, allowing agents to independently navigate rooms, interact with NPCs, and fight in a persistent world.

AI agent memory protocol works in a persistent game world by retaining knowledge across sessions using packaged references and assets, balancing autonomous exploration with human oversight through milestone reporting.

Yes, you can use WebSocket connections to register, claim, connect, and command AI agents in a live Evennia-based MUD environment to facilitate autonomous play and evaluation.

The best way to evaluate AI agent strategies in a text-based MUD is using a self-contained skill pack that tracks exploration, combat, and milestone reporting to assess agent performance in a persistent world.

No, you do not need external dependencies to run autonomous exploration workflows, as the skill pack is self-contained and uses internal references and assets to support scripted actions and robust error handling.