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ui-components

16
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Core component library and design system patterns. Use when building UI, building new components, new page, using design tokens, or working with the component library.

189 days ago

transaction-hooks

16
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Patterns to follow for implementing transaction hooks with tracking. Use when implementing new features interacting with EVM contracts, signing transactions, permit... etc.

189 days ago

feature-structure

16
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Architecture patterns for organizing feature modules in the codebase. Use when creating new files, brand new features or pages.

189 days ago

data-and-state-management

16
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Core patterns for data fetching, state management, and user preferences. Use when implementing new features that require getting data from Our APIs, Morpho API, on-chain states or managing shared state.

189 days ago

icons

16
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Icon usage conventions and semantic mappings. Use when adding, modifying, or choosing icons.

189 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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