ai-model-nodejs
Use this skill for Node.js backend AI via @cloudbase/node-sdk (>=3.16.0) — cloud functions, CloudRun, Express/Koa/NestJS, serverless APIs, scheduled jobs, LLM…
[Deprecated] Use when building frontend Web apps that talk to CloudBase Relational Database via @cloudbase/js-sdk – provides the canonical init pattern so you can then use Supabase-style queries from the browser. New environments should use PostgreSQL with app.rdb() — see
$ npx -y skills add TencentCloudBase/CloudBase-AI-Toolkit --skill relational-database-web-cloudbase --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/relational-database-web-cloudbaseContext preview
The summary Claude sees to decide when to auto-load this skill.
[Deprecated] Use when building frontend Web apps that talk to CloudBase Relational Database via @cloudbase/js-sdk – provides the canonical init pattern so you can then use Supabase-style queries from the browser. New environments should use PostgreSQL with app.rdb() — see
name: relational-database-web-cloudbase description: "[Deprecated] Use when building frontend Web apps that talk to CloudBase Relational Database via @cloudbase/js-sdk – provides the canonical init pattern so you can then use Supabase-style queries from the browser. New environments should use PostgreSQL with app.rdb() — see postgresql-development skill instead." version: 2.34.3 alwaysApply: false metadata: priority: "5" deprecated: "true"
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.
This skill standardizes the **browser-side initialization pattern** for CloudBase Relational Database.
After initialization, use `db` with Supabase-style query patterns.
npm install @cloudbase/js-sdk
import cloudbase from "@cloudbase/js-sdk";
const app = cloudbase.init({
env: "your-env-id"
});
const auth = app.auth;
// Handle login separately
const db = app.rdb();import cloudbase from "@cloudbase/js-sdk";
const app = cloudbase.init({
env: "your-env-id"
});
export const db = app.rdb();const { data, error } = await db
.from("posts")
.select("*")
.order("created_at", { ascending: false });
if (error) {
console.error("Failed to load posts", error.message);
}await db.from("posts").insert({ title: "Hello" });
await db.from("posts").update({ title: "Updated" }).eq("id", 1);
await db.from("posts").delete().eq("id", 1);AI writes the code. CloudBase runs the backend. The CloudBase integration layer for AI coding tools: Plugin installs the stack, Skills steer how code is written, MCP operates databases, functions, storage, and deploys from chat.
Repo: TencentCloudBase/CloudBase-AI-Toolkit
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