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architecture-review

7
hiro0218hiro0218

Review Next.js project architecture compliance. Checks layer dependencies, component placement, and zero-margin principle. Use during code reviews or when creating new components.

195 days ago

interface-review

7
hiro0218hiro0218

Review web interface implementations across Interactivity, Typography, Motion, Touch, Optimizations, Accessibility, and Design/UX. Based on industry best practices and UX psychology principles. Use for UI component and page implementation reviews.

195 days ago

code-comment-guidelines

7
hiro0218hiro0218

Code comment guidelines based on industry best practices. Use when reviewing code, writing new code, or when asked about comment quality. Applies to all languages but specializes in TypeScript/JavaScript. Enforces "JSDoc for public APIs only, no redundant comments" principle. Automatically suggests comment additions, removals, or refactoring alternatives.

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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