Live application URL
Open the deployed application and test the relevant path.
Qwen Code + Sealos Skills
Qwen Code is an open-source agentic coding tool for terminal workflows. Its Sealos context extension points at the same root skill source used by the managed plugins.
Install the GitHub extension and name Sealos Skills in the prompt when you want Qwen Code to prepare, deploy, or inspect a project.
qwen extensions install https://github.com/labring/sealos-skillsStart with Ask Qwen to use Sealos Skills
Qwen Code QUICK START
Three steps take you from the supported install path to reviewable deployment evidence.
Install Sealos Skills directly from the public GitHub repository.
qwen extensions install https://github.com/labring/sealos-skillsOpen the target project and ask Qwen Code for a concrete Sealos outcome.
Use Sealos Skills to deploy this repo to Sealos Cloud and verify the result.Check the live URL, rollout, logs, relevant page checks, resource footprint, and saved .sealos/state.json.
VERIFIED DEPLOYMENT
The workflow returns inspectable evidence from the real deployment and saves the target for the next update or Canvas inspection.
Open the deployed application and test the relevant path.
Confirm the workload reaches its expected ready state.
Review startup and request logs for actionable failures.
Exercise setup, login, upload, or data paths used by the app.
Report the Sealos resources created or updated by the run.
Persist the verified target in .sealos/state.json.
Qwen Code PROMPTS
Use these prompts in Qwen Code after the install path is complete.
Use Sealos Skills to deploy this repo to Sealos Cloud and verify the result.Use Sealos Skills to create a cloud Postgres database and wire DATABASE_URL.Use Sealos Skills to convert this Docker Compose project into a validated Sealos template.Use Sealos Skills to update the saved deployment and report the rollout and logs.QUESTIONS
Install location, invocation, and updates for this integration path.
Resources
Related Agent guides
Install Sealos Skills, run the first workflow, and review the live result before handoff.