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monagotchi-controller

15
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Control the Monagotchi virtual pet running on an ESP32 with LCD display. Use when the owner wants to feed, play with, clean, put to sleep, heal, or check status of their pet. Every action except sleep and status costs $MONA tokens which get burned on-chain. Works with monagotchi-trader and monagotchi-environment skills.

190 days ago

monagotchi-trader

15
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Manage $MONA tokens on nad.fun (Monad blockchain) for Monagotchi pet interactions. Use when you need to burn tokens for pet actions, check token balance, or get token info. Every pet action (feed, play, clean, heal) requires burning $MONA tokens through this skill. Works with monagotchi-controller.

190 days ago

monagotchi-environment

15
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Map Monagotchi pet state to real-world environment via Alexa smart home devices. Use after any pet action or status check to adjust room lights, temperature, and announce status. Requires the alexa-cli skill (buddyh/alexa-cli). Works with monagotchi-controller.

190 days ago

FAQ

AgentCC is a discovery hub for AI agent capabilities. We index Agent Skills as the primary dataset, and also organize MCP servers and selected AI tools so developers can quickly find, compare, and evaluate what to integrate into their workflows.
An Agent Skill is a reusable capability package for an AI agent. It can define workflows, tool usage patterns, domain knowledge, or execution rules that help the agent perform more reliably in a specific task or environment.
AgentCC is a resource and discovery layer, not a one-click installer. On each skill page, you should review the repository, file tree, install command, and usage notes, then integrate it according to the runtime or client you are using.
No. AgentCC primarily indexes external repositories and metadata. We help you understand what a skill is, where it comes from, and how it may be used, but execution and security decisions still belong to your own runtime environment.
No directory can guarantee absolute safety. AgentCC can help surface repository links, file structures, and metadata, but you should still verify permissions, external dependencies, API usage, and code quality before using a skill in production or on sensitive machines.
Yes. AgentCC is designed to be an evolving resource graph. As the submission and curation workflow matures, contributors will be able to recommend high-quality skills, MCP servers, and AI tools into the directory.
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