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epic-testing

5.5k
epicweb-devepicweb-dev

Guide on testing with Vitest and Playwright for Epic Stack

193 days ago

epic-react-patterns

5.5k
epicweb-devepicweb-dev

Guide on React patterns, performance optimization, and code quality for Epic Stack

193 days ago

epic-deployment

5.5k
epicweb-devepicweb-dev

Guide on deployment with Fly.io, multi-region setup, and CI/CD for Epic Stack

193 days ago

epic-auth

5.5k
epicweb-devepicweb-dev

Guide on authentication, sessions, OAuth, 2FA, and passkeys for Epic Stack

193 days ago

epic-security

5.5k
epicweb-devepicweb-dev

Guide on security practices including CSP, rate limiting, and session security for Epic Stack

193 days ago

epic-database

5.5k
epicweb-devepicweb-dev

Guide on Prisma, SQLite, and LiteFS for Epic Stack

193 days ago

epic-permissions

5.5k
epicweb-devepicweb-dev

Guide on RBAC system and permissions for Epic Stack

193 days ago

epic-forms

5.5k
epicweb-devepicweb-dev

Guide on forms with Conform and validation with Zod for Epic Stack

193 days ago

epic-ui-guidelines

5.5k
epicweb-devepicweb-dev

Guide on UI/UX guidelines, accessibility, and component usage for Epic Stack

193 days ago

epic-caching

5.5k
epicweb-devepicweb-dev

Guide on caching with cachified, SQLite cache, and LRU cache for Epic Stack

193 days ago

epic-routing

5.5k
epicweb-devepicweb-dev

Guide on routing with React Router and react-router-auto-routes for Epic Stack

193 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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