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…
Use when medium-to-large changes need explicit requirements, technical design, and task planning before implementation, especially for multi-module work, unclear acceptance criteria, or architecture-heavy requests.
$ npx -y skills add TencentCloudBase/CloudBase-AI-Toolkit --skill spec-workflow --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/spec-workflowContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when medium-to-large changes need explicit requirements, technical design, and task planning before implementation, especially for multi-module work, unclear acceptance criteria, or architecture-heavy requests.
name: spec-workflow description: Use when medium-to-large changes need explicit requirements, technical design, and task planning before implementation, especially for multi-module work, unclear acceptance criteria, or architecture-heavy requests. version: 2.34.3 alwaysApply: false
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.
Use this workflow for structured development when you need to:
Create `specs/<spec_name>/requirements.md`.
What to do:
EARS pattern:
While <optional precondition>, when <optional trigger>, the <system name> shall <system response>
Example:
When the user submits the form, the booking system shall validate required fields before creating the record.
Create `specs/<spec_name>/design.md`.
What to do:
Create `specs/<spec_name>/tasks.md`.
What to do:
Task format:
# Implementation Plan - [ ] 1. Task title - Specific work item - Another concrete step - _Requirement: 1
Only start implementation after the user confirms the task plan.
During execution:
1. Ask follow-up questions when the request is underspecified; do not guess core product behavior. 2. Require confirmation between requirements, design, and task breakdown. 3. Pull in `ui-design` early when the change includes end-user pages or visual decisions. 4. Keep documents concise but testable. 5. Prefer user-visible outcomes over implementation-detail task names.
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
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…
Use this skill when a browser/Web app (React, Vue, Next, Nuxt, static sites, SPAs, dashboards, AI chat UI, 页面, 前端, 网页) needs AI models via @cloudbase/js-sdk.…
Use this skill for WeChat Mini Program AI via wx.cloud.extend.AI (小程序, wx.cloud apps). Covers generateText and streamText with callbacks (onText, onEvent,…
CloudBase Node SDK auth guide for server-side identity, user lookup, and custom login tickets. This skill should be used when Node.js code must read caller…
CloudBase auth provider configuration and login-readiness guide. This skill should be used when users need to inspect, enable, disable, or configure auth…
CloudBase Web Authentication Quick Guide for frontend integration after auth-tool has already been checked. Provides concise and practical Web authentication…