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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 proxies, agent orchestration. The only SDK supporting image generation (ai.createImageModel + generateImage). Text via ai.createModel with groups cloudbase, the legacy hunyuan-v3 / hunyuan-exp, or custom-*; model ids (e.g. deepseek-v4-flash, glm-5, kimi-k2.6) go in the `model` field of generateText/streamText. MUST run two-step preflight before code — see body. NOT for browser/Web (use ai-model-web) or Mini Program (use ai-model-wechat).

config/.claude/skills/ai-model-nodejs/SKILL.md

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Last checked
Nov 3, 2026

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1,160
Repository last updated
Nov 6, 2026
License
MIT

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## 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.

## When to use this skill

Use this skill for **calling AI models from Node.js backends, cloud functions, or CloudRun services** via `@cloudbase/node-sdk`.

> 🧭 **Runtime-plane fit.** This is the right skill when the AI call truly belongs on the server: image generation (the only SDK that supports it), long-running agent jobs, orchestration across multiple tools, scheduled tasks, or flows that must keep secrets server-side. **If the user is building a Web page / frontend AI chat UI, do NOT wrap this SDK behind a backend proxy** — route to `ai-model-web` and call the model directly from the browser. For WeChat Mini Programs use `ai-model-wechat`. Routing is decided by runtime plane first; the concrete model (`deepseek-*`, `glm-*`, `hunyuan-*`, `kimi-*`, …) only affects the `model` field.

**Use it when you need to:**