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taiwan-mahjong-expert

5
tedmax100tedmax100

Expert on Taiwan 16-tile mahjong rules. Use this skill when users ask about mahjong rules, terminology (for example: chi/peng/kong/hu — melds and wins; sequences and triplets; closed hand and self-draw), hand types (for example: Qing Yi Se [Pure One Suit], Da San Yuan [Big Three Dragons]), tai calculation (scoring), winning conditions, game flow, or any question related to Taiwan mahjong play.

195 days ago

mahjong-dev-helper

5
tedmax100tedmax100

Mahjong game development assistant. Use this skill when users need to develop mahjong game features, ask about project architecture (Game.js, Player.js, Tile.js), implement game logic (dealing, chi/pong/kong, winning-hand/tenpai detection), WebSocket communication, PixiJS rendering, performance optimization, or any questions related to the code of this mahjong game project.

195 days ago

tai-calculator

5
tedmax100tedmax100

Taiwan Mahjong tai calculator. Use this skill when a user provides a hand to calculate tai, asks for the tai value of specific patterns (for example Pure One Suit, All Pungs, self-draw), needs analysis of a winning hand pattern, score calculation, or verification that a tai calculation is correct.

195 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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