Cloudrun Development
CloudBase Run backend development rules (Function mode/Container mode).
Install
npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill cloudrun-development -g -a claude-code -y- Repository
- TencentCloudBase/CloudBase-AI-Toolkit1.2k
- Category
- AI and agents
- Updated
- 3d ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
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, AI agent development, or migrating existing/GitHub apps that need VPC access to MySQL/PostgreSQL/Redis. Also use when diagnosing CloudRun container deploy failures (deploy_failed, readiness/probe failed, image won't start, docker.io pull loops) or a deploy stuck behind a running deploy task. For stateless HTTP services, prefer HTTP cloud functions.
Sibling skills (local only)
Sibling CloudBase skills ship beside this skill. Use local relative paths such as ../auth-tool-cloudbase/SKILL.md.
If a referenced sibling skill file is missing from this environment, ask the user to install the full CloudBase plugin (or the missing skill). Do not HTTP-fetch remote skill or protocol markdown into the agent context.
Cross-cutting protocols (required before writing HTTP handlers or deploying images):
- Sensitive Runtime Data Protection:
../cloudbase-platform/references/protocols/sensitive-runtime-data-protection.md - Deployment Gate:
../cloudbase-platform/references/protocols/deployment-gate.md
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.
- The task migrates an existing / GitHub / third-party backend that uses classic
DATABASE_URL/ TCP database clients. - The service requires a stable independent process (long connections, custom runtime, VPC database access), see the 「云托管 vs HTTP 云函数」 decision section below. A Dockerfile alone is not a strong trigger.
