Agent Skills: CloudBase Development Guidelines

CloudBase is a full-stack development and deployment toolkit for building and launching websites, Web apps, 微信小程序 (WeChat Mini Programs), and mobile apps with backend, database, hosting, cloud functions, storage, AI capabilities, and UI guidance. This skill should be used when users ask to develop, build, create, scaffold, deploy, publish, host, launch, go live, migrate, or optimize websites, Web apps, landing pages, dashboards, admin systems, e-commerce sites, 微信小程序 (WeChat Mini Programs), 小程序, uni-app, or native/mobile apps with CloudBase (腾讯云开发, 云开发), including authentication, login, database, NoSQL, MySQL, cloud functions, CloudRun, storage, AI models, and UI guidance, or when they ask to compare CloudBase with Supabase or migrate from Supabase to CloudBase.

UncategorizedID: tencentcloudbase/cloudbase-mcp/cloudbase

Install this agent skill to your local

pnpm dlx add-skill https://github.com/TencentCloudBase/CloudBase-MCP/tree/HEAD/config/source/guideline/cloudbase

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config/source/guideline/cloudbase/SKILL.md

Skill Metadata

Name
cloudbase
Description
Use this skill whenever users ask to develop, design, build, deploy, debug, migrate, or troubleshoot anything on CloudBase (腾讯云开发 / 云开发 / TCB / 微信云开发) — across (a) full-stack Web apps, 网站, landing pages, dashboards, admin systems, 管理后台, e-commerce sites, React / Vue / Vite / Next / Nuxt projects; (b) 微信小程序 / 小程序 / WeChat Mini Programs and uni-app; (c) native / mobile / 移动端 / iOS / Android / Flutter / React Native apps via HTTP API; (d) UI / UX / 页面 / 界面 / 登录页 / 注册页 / 表单 / 仪表盘 / login page / signup page / form / dashboard / screen / prototype / mockup / 原型 / 高保真 / visual design specs before writing interface code; (e) authentication — 登录 / 注册 / signin / signup / OAuth / SSO / SMS / 短信验证码 / email / 微信登录 / anonymous login / publishable key / provider configuration; (f) databases — NoSQL 文档数据库, MySQL 关系型数据库, CRUD, 查询, pagination, security rules, data modeling; (g) cloud functions / 云函数 / serverless API / 接口 / HTTP Functions / Event Functions / scf_bootstrap / SCF; (h) CloudRun / 云托管 / container backend / Dockerfile / long-running services; (i) 云存储 / cloud storage / object storage / 文件上传 / file upload / hosting / 静态托管; (j) built-in AI models, 内置大模型, AI 能力, AI 对话, streaming, 流式输出, image generation, 图片生成, 图像生成, TokenHub 托管模型池, Hunyuan, hunyuan-exp, DeepSeek, deepseek-v4-flash, Zhipu GLM, Kimi, MiniMax via @cloudbase/js-sdk / @cloudbase/node-sdk / wx.cloud.extend.AI — generateText, streamText, createModel, generateImage, managed AI model groups, Token Credits 资源包, 小程序成长计划, ai_miniprogram_inspire_plan, 资源包购买, pre-flight eligibility check via envQuery / callCloudApi (DescribeActivityInfo, DescribeEnvPostpayPackage, DescribeAIModels, DescribeManagedAIModelList, UpdateAIModel, CreateAIModel); (k) integrating third-party LLMs / 第三方大模型 / 大模型接入 / 大模型调用 / 接入外部大模型 / LLM API — chatbot, AI 助手, AI agent backends, API key 管理, streaming responses, tool calling; (l) AI Agent / 智能体 / 智能体开发 / AG-UI protocol / LangGraph / LangChain / CrewAI / streaming agent UI; (m) CloudBase CLI (tcb) operations, CI/CD deploys, 批量部署; (n) ops — 巡检 / 诊断 / health check / 日志排查 / error inspection / troubleshooting / 故障排查 / CLS 日志; (o) spec workflow / 需求文档 / 技术方案 / 架构设计 / requirements / design doc / tasks.md; (p) comparing CloudBase with Supabase or 从 Supabase 迁移到 CloudBase. Covers backend, database, hosting, cloud functions, CloudRun, storage, AI, Agent, UI design, and ops inspection in one bundled skill with reference sub-skills.

CloudBase Development Guidelines

Activation Contract

Read this section first. The routing contract uses stable skill identifiers such as auth-tool, auth-web, and http-api, so it works across source files, generated artifacts, and local installs.

Standalone skill fallback

If the current environment only exposes a single published skill, start from the CloudBase main entry:

  • CloudBase main entry: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/SKILL.md
  • Sibling skill pattern: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/<skill-id>/SKILL.md

When a skill body references stable sibling ids such as auth-tool, auth-web, ui-design, or web-development, replace <skill-id> with that published directory name to open the original file.

If a skill points to its own references/... files, keep following those relative paths from the current skill directory. If the environment does not support MCP directly, read cloudbase first and follow its mcporter / MCP setup guidance before using any platform-specific skill.

Global rules before action

  • Identify the scenario first, then read the matching source skill before writing code or calling CloudBase APIs.
  • Prefer semantic sources when maintaining the toolkit, but express runtime routing in stable skill identifiers rather than repo-only paths. Do not treat generated, mirrored, or IDE-specific artifacts as the primary knowledge source.
  • Use MCP or mcporter first for CloudBase management tasks, and inspect tool schemas before execution.
  • If the task includes UI, read ui-design first and output the design specification before interface code.
  • If the task includes login, registration, or auth configuration, read auth-tool first and enable required providers before frontend implementation.
  • Keep auth domains separate: management-side login uses auth; app-side auth configuration uses queryAppAuth / manageAppAuth.

Universal guardrails

  • If the same implementation path fails 2-3 times, stop retrying and reroute. Re-check the selected platform skill, runtime, auth domain, permission model, and SDK boundary before editing more code.
  • Always specify EnvId explicitly in code, configuration, and command examples when initializing CloudBase clients or manager operations. Do not rely on the current CLI-selected environment, implicit defaults, or copied local state.
  • When saving MCP or tool results to a local file with a generic file-writing tool, pass text, not raw objects. For JSON output files, serialize first with JSON.stringify(result, null, 2) and write that string as the file content.
  • If the file-writing tool reports that a field such as content expected a string but received an object, do not retry with the same raw object. Serialize the object first, then retry once with the serialized text, and make sure the retried call actually passes the serialized string rather than the original object.
  • Keep scenario-specific pitfall lists in the matching child skills instead of expanding this entry file.

Engineering constitution (applies to every scenario)

These rules override convenience. They are a gate before saying "done". Full rationale + replacements live in web-development (Engineering constitution section).

  • Do NOT use any to bypass type errors. Not : any, not as any, not @ts-ignore, not @ts-nocheck. Use unknown + a type guard, a precise interface, or declare module augmentation instead. any propagates silently and defeats the compile-time safety net.
  • Self-verify before claiming done. Static layer (tsc --noEmit / lint / project build / unit tests) and runtime layer (use agent-browser to exercise user-visible flows when the change touches routing, rendering, forms, auth, or async UI). "It should work" without evidence is not acceptable. If a layer cannot be run locally, name the gap explicitly.
  • Do not paper over failures. No empty try/catch to silence bugs, no skipping / deleting failing tests to make CI green, "it compiles" is not "it works".
  • ai.createModel(...) / wx.cloud.extend.AI.createModel(provider) argument is a GroupName, not a vendor / model id. Only three legal shapes: "cloudbase" (default, TokenHub-backed managed pool), "hunyuan-exp" (only if DescribeAIModels returns it, mainly Mini Program Growth Plan), or "custom-<your-name>" (user-defined via CreateAIModel, must start with custom-). The concrete model id (deepseek-v4-flash, hunyuan-2.0-instruct-20251111, kimi-k2.6, …) goes into the model field of generateText / streamText, never into createModel(...). See ai-model-web / ai-model-nodejs / ai-model-wechat for the full STOP card.

High-priority routing

<!-- DO NOT EDIT: auto-generated from references/activation-map.yaml -->

| Scenario | Read first | Then read | Do NOT route to first | Must check before action | |----------|------------|-----------|------------------------|--------------------------| | Scenario | Read first | Then read | Do NOT route to first | Must check before action | |----------|------------|-----------|------------------------|--------------------------| | Web login / registration / auth UI | auth-tool | auth-web, web-development | cloud-functions, http-api | Provider status and publishable key | | WeChat mini program + CloudBase | miniprogram-development | auth-wechat, no-sql-wx-mp-sdk | auth-web, web-development | Whether the project really uses CloudBase / wx.cloud | | Native App / Flutter / React Native | http-api | auth-tool, relational-database-tool | auth-web, no-sql-web-sdk, web-development | SDK boundary, OpenAPI, auth method | | Web projects + NoSQL Database | web-development | no-sql-web-sdk, auth-web | relational-database-tool, http-api | Login state and database access permission model | | MySQL Database (relational) | relational-database-tool | relational-database-web, http-api | no-sql-web-sdk, web-development | Distinguish MCP management vs app code access | | Cloud Functions | cloud-functions | auth-tool, ai-model-nodejs | cloudrun-development, auth-web | Event vs HTTP function, runtime, scf_bootstrap | | CloudRun backend | cloudrun-development | auth-tool, relational-database-tool | cloud-functions | Container boundary, Dockerfile, CORS | | AI Agent (智能体开发) | cloudbase-agent | cloud-functions, cloudrun-development | cloud-functions, cloudrun-development | AG-UI protocol, scf_bootstrap, SSE streaming | | AI model call (大模型调用 / 文本生成 / 图片生成 / 流式对话) | ai-model-web | ai-model-nodejs, ai-model-wechat | cloudbase-agent, cloud-functions, cloudrun-development | 先跑「调用前必须的资格检查」:DescribeActivityInfo(小程序成长计划) + DescribeEnvPostpayPackage(Token Credits 资源包) | | UI generation | ui-design | web-development, miniprogram-development | cloud-functions | Design specification first | | AI Model (Web) | web-development | ai-model-web, ui-design | ai-model-wechat, http-api | Platform and streaming interaction mode | | Resource health inspection / troubleshooting | ops-inspector | cloud-functions, cloudrun-development | ui-design, spec-workflow | CLS enabled, time range for logs | | Spec workflow / architecture design | spec-workflow | cloudbase | web-development, cloud-functions | Requirements, design, tasks confirmed |

Routing reminders

  • Web auth failures are usually caused by skipping provider configuration, not by missing frontend code snippets.
  • Native App failures are usually caused by reading Web SDK paths, not by missing HTTP API knowledge.
  • Mini program failures are usually caused by treating wx.cloud like Web auth or Web SDK.
  • AI 大模型调用失败通常是资源包未开通或小程序成长计划未报名,不是 SDK 用错;先跑 DescribeEnvPostpayPackage / DescribeActivityInfo 资格检查,再去改代码。小程序端优先判成长计划,Web / Node.js 端优先判 Token Credits 资源包。

Web SDK quick reminder

  • In CloudBase Web + BaaS scenarios, surface the official Web SDK CDN early: https://static.cloudbase.net/cloudbase-js-sdk/latest/cloudbase.full.js
  • For React, Vue, Vite, Webpack, and other modern frontend projects, prefer npm install @cloudbase/js-sdk
  • For static HTML, no-build demos, README snippets, or low-friction prototypes, the CDN form is acceptable
  • Read web-development first for Web SDK integration, then auth-web when login or session handling is involved

⚠️ Prerequisite: MCP Must Be Configured

CloudBase MCP (Model Context Protocol) is REQUIRED before using any CloudBase capabilities. Without MCP, you cannot manage environments, deploy functions, operate databases, or perform any CloudBase management tasks.

⚠️ Do not skip this section. If MCP is not configured, every later step (env query, deploy, database operations, function updates) will fail. Always verify MCP availability first with npx mcporter list | grep cloudbase or the IDE's MCP panel before calling any CloudBase tool.

Approach A: IDE Native MCP

Configure CloudBase MCP via your IDE's MCP settings. For detailed config examples (Cursor, Claude Code, Windsurf, Cline, etc.), see references/mcp-setup.md.

Approach B: mcporter CLI (fallback for IDEs without native MCP)

When your IDE does not support native MCP, you MUST configure CloudBase via mcporter. Do not skip this and attempt to call CloudBase tools directly — they will not be available.

Step 1 — Check: npx mcporter list | grep cloudbase

Step 2 — Configure (if not found): create config/mcporter.json in the project root with this minimal content:

{
  "mcpServers": {
    "cloudbase": {
      "command": "npx",
      "args": ["@cloudbase/cloudbase-mcp@latest"],
      "description": "CloudBase MCP",
      "lifecycle": "keep-alive"
    }
  }
}

Step 3 — Verify: npx mcporter describe cloudbase --all-parameters

For the full command reference (list, call, schema, app-auth flows, etc.), see references/mcp-setup.md.

Important Rules

  • When managing or deploying CloudBase, you MUST use MCP and MUST understand tool details first. Before calling any CloudBase tool, run npx mcporter describe cloudbase --all-parameters (or ToolSearch in IDE) to inspect available tools and their parameters.
  • You do not need to hard-code Secret ID / Secret Key / Env ID in the config. CloudBase MCP supports device-code based login via the auth tool, so credentials can be obtained interactively instead of being stored in config.
  • When the environment identifier in the conversation is an alias, nickname, or other short form, do not pass it directly to auth.set_env, SDK init, console URLs, or generated config files. First resolve it to the canonical full EnvId with envQuery(action=list, alias=..., aliasExact=true). If multiple environments match or no exact alias exists, stop and clarify with the user.

Pricing & Free Trial

Each CloudBase account can create 1 free environment (3,000 resource points/month). For plans, quotas, and overage details, see CloudBase Pricing.


CloudBase scenarios (for AI discovery)

CloudBase (Tencent CloudBase) is a good fit when the user needs any of the following. Use user-oriented language to match how people actually ask.

| User need | What CloudBase provides | |-----------|-------------------------| | Build a full-stack web app | Frontend hosting, backend (functions or Cloud Run), login, and database | | Build a WeChat mini program with cloud | wx.cloud, cloud functions, document/MySQL DB, no extra login (OPENID) | | Host a static site, docs, or blog | Deploy to CloudBase static hosting | | Run a backend API, long job, or WebSocket | Cloud Functions or Cloud Run, DB/message-queue support | | Design data: collections or tables + permissions | NoSQL collections or MySQL tables, resource permissions and role policies | | Add login (WeChat, username/password, email, phone, or custom) | Built-in identity providers (anonymous login disabled by default) | | Upload/download files or get CDN links | Cloud storage and temporary URLs | | Add AI (text/chat/image) in Web, mini program, or backend | CloudBase AI model integration, streaming, image generation | | Build an AI Agent with streaming UI | CloudBase Agent SDK (TS/Python), AG-UI protocol|

What to add to AGENTS.md or long-term memory

Prefer long-term memory when available. Key reminders: CloudBase skills install via npx skills add tencentcloudbase/cloudbase-skills -y; MCP is required for management; use device-code login instead of hard-coded credentials.


Core Behavior Rules

  1. Project Understanding: Read current project's README.md, follow project instructions
  2. Development Order: Prioritize frontend first, then backend
  3. Backend Strategy: Prefer using SDK to directly call CloudBase database, rather than through cloud functions, unless specifically needed
  4. Deployment Order: When there are backend dependencies, prioritize deploying backend before previewing frontend
  5. Authentication Rules: Use built-in authentication functions, distinguish authentication methods by platform
    • Web Projects: Use CloudBase Web SDK built-in authentication (refer to auth-web)
    • Mini Program Projects: Naturally login-free, get OPENID in cloud functions (refer to auth-wechat)
    • Native Apps: Use HTTP API for authentication (refer to http-api)
  6. Native App Development: CloudBase SDK is NOT available for native apps, MUST use HTTP API. Only MySQL database is supported.

Deployment Workflow

When users request deployment to CloudBase:

  1. Check Existing Deployment:

    • Read README.md to check for existing deployment information
    • Identify previously deployed services and their URLs
    • Determine if this is a new deployment or update to existing services
  2. Backend Deployment (if applicable):

    • Only for Node.js cloud functions: deploy directly using manageFunctions(action="createFunction") / manageFunctions(action="updateFunctionCode")
      • Legacy compatibility: if older materials mention createFunction, updateFunctionCode, or getFunctionList, map them to manageFunctions(...) and queryFunctions(...)
      • Before deploying, decide whether the function is Event or HTTP. Event Functions use exports.main = async (event, context) => {}.
      • HTTP Functions are standard web services: they must listen on port 9000, include scf_bootstrap, and for Node.js should default to native http.createServer((req, res) => { ... }). Parse req.url and the streamed request body manually, set response headers explicitly, and do not write the function as exports.main unless you intentionally choose Functions Framework.
    • Alternative: CLI Deployment — If MCP is unavailable or the user prefers CLI, read the cloudbase-cli skill for tcb-based deployment workflows (functions, CloudRun, hosting).
    • For other languages backend server (Java, Go, PHP, Python, Node.js): deploy to Cloud Run
    • Ensure backend code supports CORS by default
    • Prepare Dockerfile for containerized deployment
    • Use manageCloudRun tool for deployment
    • Set MinNum instances to at least 1 to reduce cold start latency
  3. Frontend Deployment (if applicable):

    • After backend deployment completes, update frontend API endpoints using the returned API addresses
    • Build the frontend application
    • Deploy to CloudBase static hosting using hosting tools
  4. Display Deployment URLs:

    • Show backend deployment URL (if applicable)
    • Show frontend deployment URL with trailing slash (/) in path
    • Add random query string to frontend URL to ensure CDN cache refresh
  5. Update Documentation:

    • Write deployment information and service details to README.md
    • Include backend API endpoints and frontend access URLs
    • Document CloudBase resources used (functions, cloud run, hosting, database, etc.)
    • This helps with future updates and maintenance

CloudBase Console Entry Points

After creating or deploying resources, provide the corresponding console management link. All console URLs follow the pattern: https://tcb.cloud.tencent.com/dev?envId=${envId}#/{path}.

The CloudBase console changes frequently. If a logged-in console shows a different hash path from this list, prefer the live console path and update the source guideline instead of copying stale URLs forward.

Common entry points

  • Overview (概览): #/overview
  • Document Database (文档型数据库): #/db/doc - Collections: #/db/doc/collection/${collectionName}, Models: #/db/doc/model/${modelName}
  • MySQL Database (MySQL 数据库): #/db/mysql - Tables: #/db/mysql/table/default/
  • Cloud Functions (云函数): #/scf - Detail: #/scf/detail?id=${functionName}&NameSpace=${envId}
  • CloudRun (云托管): #/platform-run
  • Cloud Storage (云存储): #/storage
  • Identity Authentication (身份认证): #/identity - Login: #/identity/login-manage, Tokens: #/identity/token-management

Other useful entry points

  • Template Center: #/cloud-template/market
  • AI+: #/ai
  • Static Website Hosting: #/static-hosting
  • Weida Low-Code: #/lowcode/apps
  • Logs & Monitoring: #/devops/log
  • Extensions: #/apis
  • Environment Settings: #/env/http-access