tencentcloudbase/skills

spec-workflow

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.

ソースを見る
リポジトリの原文

見出し、例、コード、表、リンク、参照画像を含む原文を表示しています。

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.

Spec Workflow

Activation Contract

Use this first when

  • The request is a new feature, multi-step product change, cross-module integration, or architecture/design task.
  • Acceptance criteria are unclear and need to be made explicit before implementation.
  • The work involves multiple files, user flows, database design, or UI design that needs staged confirmation.

Read before writing code if

  • You are unsure whether the task should go straight to coding or should first go through requirements, design, and task planning.
  • The request mentions a new page, a new system, a redesign, a workflow, or a multi-module refactor.

Then also read

  • Frontend page or visual design work -> ../ui-design/SKILL.md
  • Advanced data-model work -> ../data-model-creation/SKILL.md

Do NOT use for

  • Small bug fixes with clear scope.
  • One-file documentation updates.
  • Straightforward config changes.
  • Tiny refactors where the user already gave exact implementation instructions.

Common mistakes / gotchas

  • Jumping into coding before acceptance criteria are explicit.
  • Skipping user confirmation between requirements, design, and tasks.
  • Writing vague tasks that do not map back to user-visible outcomes.
  • Treating UI work as purely technical implementation without clarifying design intent.

Minimal checklist

  • Decide whether the change really needs the full spec flow.
  • If yes, stop and produce requirements first.
  • If the change is small, low-risk, and acceptance is already clear, allow direct execution without forcing spec artifacts.
  • Use EARS-style acceptance criteria.
  • Get confirmation before moving to the next phase.

When to use this skill

Use this workflow for structured development when you need to:

  • Define or refine a new feature
  • Design complex architecture
  • Coordinate changes across modules
  • Plan database or UI-heavy work
  • Improve requirement quality and acceptance boundaries

Decision rule

Use the full workflow when

  • The task is medium or large
  • The impact spans multiple modules
  • Acceptance boundaries are fuzzy
  • The user wants disciplined planning before implementation

Skip the full workflow when

  • The task is small, low-risk, and already precise
  • Goal, scope, and acceptance are already clear enough to execute directly
  • The user explicitly wants a direct code change with no planning phase

Core workflow

Phase 1: Requirements

Create specs/<spec_name>/requirements.md.

What to do:

  • Restate the problem and scope
  • Write user stories
  • Write acceptance criteria in EARS style
  • Clarify business rules, constraints, and non-goals

EARS pattern:

text
While <optional precondition>, when <optional trigger>, the <system name> shall <system response>

Example:

text
When the user submits the form, the booking system shall validate required fields before creating the record.

Phase 2: Design

Create specs/<spec_name>/design.md.

What to do:

  • Describe architecture and module boundaries
  • Explain technology choices and trade-offs
  • Define data model, API, security, and testing strategy as needed
  • Use Mermaid only when a diagram materially improves clarity

Phase 3: Tasks

Create specs/<spec_name>/tasks.md.

What to do:

  • Break the design into executable tasks
  • Keep tasks specific and reviewable
  • Link each task back to the relevant requirement
  • Update task status as work progresses

Task format:

markdown
# Implementation Plan

- [ ] 1. Task title
  - Specific work item
  - Another concrete step
  - _Requirement: 1

Phase 4: Execution

Only start implementation after the user confirms the task plan.

During execution:

  • Keep task status current
  • Finish one meaningful unit at a time
  • Preserve traceability from change -> task -> requirement

Working rules for the agent

  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.

Output expectations

  • requirements.md -> problem, scope, user stories, EARS acceptance criteria
  • design.md -> architecture, technical approach, data/API/security/test notes
  • tasks.md -> actionable implementation checklist tied to requirements
同じリポジトリから

関連する Skills

すべての Skills
tencentcloudbase
コミュニティ

cloudbase-wechat-integration

CloudBase WeChat integration guide for Mini Program WeChat Pay, Mini Program virtual payment (虚拟支付, wx.requestVirtualPayment), Official Account JSAPI Pay, Native QR-code Pay, Official Account OAuth, openid handling, payment callbacks, and CloudBase Integration Center generated functions. This skill should be used when users ask to add, debug, or extend WeChat payment, virtual payment, or official-account flows on CloudBase.

導入数
1
GitHub Stars
78
更新日
9月30日
tencentcloudbase
コミュニティ

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, 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 f

導入数
2
GitHub Stars
77
更新日
9月24日
tencentcloudbase
コミュニティ

ai-model-web

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. Default routing for Web/frontend AI — call directly from the browser, do NOT propose a Node.js proxy. Covers generateText and streamText; models via ai.createModel with groups cloudbase, hunyuan-exp, or custom-, model id in the model field. MUST run two-step preflight before code — see body. NOT for Node.js backend (use ai-model-nodejs), Mi

導入数
2
GitHub Stars
77
更新日
9月24日
tencentcloudbase
コミュニティ

ai-model-wechat

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, onFinish); streamText needs a data wrapper, generateText returns the raw response. Models via wx.cloud.extend.AI.createModel with groups hunyuan-exp (小程序成长计划), cloudbase (main managed), or custom-; model id goes in the data wrapper model field. MUST run two-step preflight before code — see body. NOT for browser/Web (use ai-model-web), Node.js

導入数
2
GitHub Stars
77
更新日
9月24日