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knowledge_skill

35
JustcndsJustcnds

建筑风格知识库。构建新建筑前先读取相关风格文档,了解正确的材料、结构和设计原则。

195 days ago

construction_skill

35
JustcndsJustcnds

使用 VoxelBuilder API 生成 JavaScript 代码来建造结构。在建筑之务必使用此技能来查看和创建实际的建筑代码。

196 days ago

quality_skill

35
JustcndsJustcnds

建筑质量检查。验证代码语法、检查结构问题、确保细节完整。

195 days ago

decoration_skill

35
JustcndsJustcnds

添加装饰元素。包括植被、家具、灯光、做旧效果。

196 days ago

planning_skill

35
JustcndsJustcnds

创建建筑蓝图。规划尺寸、材料、组件和构建顺序。

195 days ago

inspection_skill

35
JustcndsJustcnds

分析现有建筑代码和场景。检查结构问题、计算边界、为新建筑定位。

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.
Can't find your answer here? Get in touch

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