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caprover

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Manage CapRover PaaS instances via API: create/update apps, deploy from a Docker image or a custom Dockerfile (tar file), configure ports, volumes, environment variables, and serviceUpdateOverride for Docker Swarm settings. Use when you want to deploy, configure, or diagnose an app on a CapRover server — including setting up TCP ports for non-HTTP services (game servers, databases), mounting persistent volumes, building custom Docker images on the host, or reading build and runtime logs.

192 days ago

caprover-deploy

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Deploy apps to CapRover and set up GitHub Actions CI/CD workflows for new or existing projects. Use when the user says things like "deploy X", "trigger a deploy of X", "deploy branch Y to Z", "set up CI/CD for this project", "configure CapRover deploy workflow", "add deploy workflow to my repo", or asks about deployment status. Supports GitHub workflow triggers, CapRover webhook triggers, and direct CLI deploys. Also helps scaffold .github/workflows/deploy.yml, captain-definition, and GitHub secrets for any new project.

192 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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