From cloudbase
Develops and deploys CloudBase Run services in Function or Container mode. Use for long-lived HTTP services, SSE, WebSocket, custom environments, or AI agents.
How this skill is triggered — by the user, by Claude, or both
Slash command
/cloudbase:cloudrun-developmentThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
If this environment only installed the current skill, start from the CloudBase main entry and use the published `cloudbase/references/...` paths for sibling skills.
If this environment only installed the current skill, start from the CloudBase main entry and use the published cloudbase/references/... paths for sibling skills.
https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/SKILL.mdhttps://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/cloudrun-development/SKILL.mdKeep local references/... paths for files that ship with the current skill directory. When this file points to a sibling skill such as auth-tool or web-development, use the standalone fallback URL shown next to that reference.
queryCloudRun, manageCloudRun, Dockerfile, service domains, or public/private access.../cloud-functions/SKILL.md (standalone fallback: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/cloud-functions/SKILL.md)../cloudbase-agent/SKILL.md (standalone fallback: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/cloudbase-agent/SKILL.md)../auth-web/SKILL.md (standalone fallback: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/auth-web/SKILL.md)PORT.Use CloudBase Run when the task needs a deployed backend service rather than a short-lived serverless function.
| Dimension | Function mode | Container mode |
|---|---|---|
| Best for | Fast start, Node.js service patterns, built-in framework, Agent flows | Existing containers, arbitrary runtimes, custom system dependencies |
| Port model | Framework-managed local mode, deployed service still follows platform rules | App must listen on injected PORT |
| Dockerfile | Not required | Required |
| Local run through tools | Supported | Not supported |
| Typical use | Streaming APIs, low-latency backend, Agent service | Custom language stack, migrated container app |
Choose mode first
Follow mandatory runtime rules
PORTMem = 2 × CPUUse the correct tools
queryCloudRunmanageCloudRunforce: truetargetPathFollow the deployment sequence
queryCloudRun(action="list") -> list servicesqueryCloudRun(action="detail") -> inspect one service and its latest deploy status when availablequeryCloudRun(action="templates") -> see available startersqueryCloudRun(action="getDeployLog") -> retrieve the latest deploy log or a specified buildIdmanageCloudRun(action="init") -> create local projectmanageCloudRun(action="download") -> pull remote codemanageCloudRun(action="run") -> local run for Function modemanageCloudRun(action="deploy") -> deploy local projectmanageCloudRun(action="delete") -> delete servicemanageCloudRun(action="createAgent") -> create Agent service{ "action": "init", "serverName": "my-svc", "targetPath": "/abs/ws/my-svc" }
{ "action": "run", "serverName": "my-svc", "targetPath": "/abs/ws/my-svc", "runOptions": { "port": 3000 } }
{
"action": "deploy",
"serverName": "my-svc",
"targetPath": "/abs/ws/my-svc",
"serverConfig": {
"OpenAccessTypes": ["PUBLIC"],
"Cpu": 0.5,
"Mem": 1,
"MinNum": 1,
"MaxNum": 5
}
}
Valid OpenAccessTypes values: OA (办公网访问), PUBLIC (公网访问), MINIAPP (小程序访问), VPC (VPC访问). Use PUBLIC for web applications that need public HTTPS access.
MinNum: 1 is the recommended default when you want to reduce cold-start latency. If the user explicitly prefers lower cost and accepts more cold starts, explain the tradeoff and let them reduce MinNum to 0.
queryCloudRun(action="detail").npx claudepluginhub tencentcloudbase/cloudbase-mcp --plugin cloudbaseBuilds, deploys, and debugs CloudBase Event Functions and HTTP Functions. Use when creating application runtime code or function triggers on CloudBase.
Builds production-ready serverless apps on GCP Cloud Run, covering containerized services, event-driven functions, cold start optimization, and Pub/Sub integration.
Deploys Python to Cloudflare Workers with Pyodide, FastAPI integration, Containers for heavy compute/AI, service bindings, using wrangler configs, Dockerfiles, and pywrangler CLI.