CloudBase Run backend development rules (Function mode/Container mode). Use this skill when deploying backend services that require long connections, multi-language support, custom environments, or AI agent development.
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CloudBase Run backend development rules (Function mode/Container mode). Use this skill when deploying backend services that require long connections, multi-language support, custom environments, or AI agent development.
version
2.23.3
alwaysApply
false
Standalone Install Note
If this environment only installed the current skill, start from the CloudBase main entry and use the published cloudbase/references/... paths for sibling skills.
CloudBase main entry: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/SKILL.md
Current skill raw source: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/cloudrun-development/SKILL.md
Keep 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.
CloudBase Run Development
Activation Contract
Use this first when
The task is to initialize, run, deploy, inspect, or debug a CloudBase Run service.
The request needs a long-lived HTTP service, SSE, WebSocket, custom system dependencies, or container-style deployment.
The task is to create or run an Agent service on CloudBase Run.
Read before writing code if
You still need to choose between Function mode and Container mode.
The prompt mentions queryCloudRun, manageCloudRun, Dockerfile, service domains, or public/private access.
Then also read
Cloud functions instead of CloudRun -> ../cloud-functions/SKILL.md (standalone fallback: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/cloud-functions/SKILL.md)
Agent SDK and AG-UI specifics -> ../cloudbase-agent/SKILL.md (standalone fallback: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/cloudbase-agent/SKILL.md)
Web authentication for browser callers -> ../auth-web/SKILL.md (standalone fallback: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/auth-web/SKILL.md)
Do NOT use for
Simple Event Function or HTTP Function workflows that fit the function model better.
Frontend-only projects with no backend service.
Database-schema design tasks.
Common mistakes / gotchas
Choosing CloudRun when the request only needs a normal cloud function.
Forgetting to listen on the platform-provided PORT.
Treating CloudRun as stateful app hosting and storing important state on local disk.
Assuming local run is available for Container mode.
Opening public access by default when the scenario only needs private or mini-program internal access.
Minimal checklist
Choose Function mode or Container mode explicitly.
Confirm whether the service should be public, VPC-only, or mini-program internal.
Keep the service stateless and externalize durable data.
Use absolute paths for every local project path.
Overview
Use CloudBase Run when the task needs a deployed backend service rather than a short-lived serverless function.
When CloudRun is a better fit
Long connections: WebSocket, SSE, server push
Long-running request handling or persistent service processes
Custom runtime environments or system libraries
Arbitrary languages or frameworks
Stable external service endpoints with elastic scaling
AI Agent deployment on Function mode CloudRun
Mode selection
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
How to use this skill (for a coding agent)
Choose mode first
Function mode -> quickest path for HTTP/SSE/WebSocket or Agent scenarios
Container mode -> use when Docker/custom runtime is a real requirement
Follow mandatory runtime rules
Listen on PORT
Keep the service stateless
Put durable data in DB/storage/cache
Keep dependencies and image size small
Respect resource ratio guidance: Mem = 2 × CPU
Use the correct tools
Read operations -> queryCloudRun
Write operations -> manageCloudRun
Delete requires explicit confirmation and force: true
Always use absolute targetPath
Follow the deployment sequence
Initialize or download code
For Container mode, verify Dockerfile
Local run when available
Configure access model
Deploy and verify detail output
Tool routing
Read operations
queryCloudRun(action="list") -> list services
queryCloudRun(action="detail") -> inspect one service and its latest deploy status when available
queryCloudRun(action="templates") -> see available starters
queryCloudRun(action="getDeployLog") -> retrieve the latest deploy log or a specified buildId
Write operations
manageCloudRun(action="init") -> create local project
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.
Best practices
Prefer PRIVATE/VPC or mini-program internal access when possible.
Use environment variables for secrets and per-environment configuration.
Verify configuration before and after deployment with queryCloudRun(action="detail").
Keep startup work small to reduce cold-start impact.
For Agent scenarios, use the Agent SDK skill for protocol and adapter details instead of duplicating them here.
Troubleshooting hints
Access failure -> check access type, domain setup, and whether the instance scaled to zero.
Deployment failure -> inspect Dockerfile, build logs, and CPU/memory ratio.
Local run failure -> remember only Function mode is supported by local-run tools.