AI agent skills for Sealos Cloud — deploy any project, provision databases, object storage & more with one command. Works with Claude Code, Gemini CLI, Codex.
# Seakills Deploy projects to [Sealos Cloud](https://gzg.sealos.run) from your AI agent. Seakills is a `skills.sh` skill pack centered on `/sealos-deploy`. It helps an agent inspect a project, prepare missing deployment artifacts, and ship it to Sealos Cloud. ## Quick Start Install Seakills: ```bash npx skills add labring/seakills ``` Then run: ```text /sealos-deploy ``` Examples: ```text /sealos-deploy /sealos-deploy /path/to/project /sealos-deploy https://github.com/labring-sigs/kite ``` ## How Setup Works You only need a `skills.sh` compatible AI agent and a project to deploy. During the deploy flow, Seakills will: - check whether tools such as Docker and `kubectl` are available - guide the user through Sealos login when needed - use or help prepare a container registry path such as Docker Hub or GHCR For an actual deployment, you will still need a Sealos Cloud account and access to a container registry, but these do not need to be fully set up before the skill starts. ## What `/sealos-deploy` Handles On a typical deploy, the agent will: 1. Assess the project structure and runtime needs. 2. Reuse an existing image or build one when needed. 3. Generate a Sealos template. 4. Deploy and verify rollout. Later runs can switch to an in-place update flow when an existing deployment is detected. ## Repository [`skills/`](/Users/jingyang/zjy365/demo/github-pack/seakills/skills) contains `/sealos-deploy` and the supporting skills it uses during the deploy flow. ## License MIT
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