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modern-accessible-html-jsx

35
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Write clean, modern, and highly accessible HTML & JSX code, using semantically correct elements and attributes

194 days ago

modern-best-practice-nextjs

35
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Build modern Next.js apps with App Router and best practices

195 days ago

clean-typescript

35
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Write clean, efficient TypeScript code that follows common best practices

195 days ago

modern-best-practice-react-components

35
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Build clean, modern React components that apply common best practices and avoid common pitfalls like unnecessary state management or useEffect usage

194 days ago

modern-tailwind

35
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Build clean, scalable UIs with Tailwind CSS using modern utilities and variants

194 days ago

web-security

35
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Enforce web security and avoid security vulnerabilities

194 days ago

bun-first

35
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Describes efficient usage of Bun and Bun APIs instead of Node.js (and its APIs)

194 days ago

use-modern-browser-apis

35
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Utilize built-in browser APIs (like Popover API, View Transitions etc) instead of building features manually via JavaScript

194 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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