scaffold — 任务分解技术 scaffold, EasyPlatform, community, 任务分解技术, ide skills, 生产就绪协议, 代码优化工具, TaskCreate 集成, 代码第一协议, Scaffold 技术, Claude Code

v1.0.0

关于此技能

适用于需要自动化任务管理和全面内容分析能力的高级工作流代理。 Scaffold 是一种代码优化技术,通过任务分解和生产就绪协议提高生产效率。

功能特性

任务分解
生产就绪协议
代码优化
任务创建集成
代码第一协议支持

# 核心主题

duc01226 duc01226
[5]
[1]
更新于: 3/15/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 9/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
9/11
Quality Score
55
Canonical Locale
en
Detected Body Locale
en

适用于需要自动化任务管理和全面内容分析能力的高级工作流代理。 Scaffold 是一种代码优化技术,通过任务分解和生产就绪协议提高生产效率。

核心价值

赋予代理人使用 TaskCreate 将复杂的工作流程分解为较小的任务的能力,确保生产就绪性并防止长文件导致的上下文丢失,同时遵循 understand-code-first-protocol 和 scaffold-production-readiness-protocol。

适用 Agent 类型

适用于需要自动化任务管理和全面内容分析能力的高级工作流代理。

赋予的主要能力 · scaffold

通过将工作分解为较小的任务来自动化复杂的内容分析
自动生成任务列表以处理大文件并防止上下文丢失
通过分析任务创建和执行来调试工作流问题

! 使用限制与门槛

  • 需要遵循理解代码优先协议
  • 必须在执行前阅读脚手架生产就绪协议
  • 需要使用任务创建来分解所有工作,包括文件读取

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

评审后的下一步

先决定动作,再继续看上游仓库材料

Killer-Skills 的主价值不应该停在“帮你打开仓库说明”,而是先帮你判断这项技能是否值得安装、是否应该回到可信集合复核,以及是否已经进入工作流落地阶段。

实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

scaffold 是什么?

适用于需要自动化任务管理和全面内容分析能力的高级工作流代理。 Scaffold 是一种代码优化技术,通过任务分解和生产就绪协议提高生产效率。

如何安装 scaffold?

运行命令:npx killer-skills add duc01226/EasyPlatform/scaffold。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

scaffold 适用于哪些场景?

典型场景包括:通过将工作分解为较小的任务来自动化复杂的内容分析、自动生成任务列表以处理大文件并防止上下文丢失、通过分析任务创建和执行来调试工作流问题。

scaffold 支持哪些 IDE 或 Agent?

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

scaffold 有哪些限制?

需要遵循理解代码优先协议;必须在执行前阅读脚手架生产就绪协议;需要使用任务创建来分解所有工作,包括文件读取。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add duc01226/EasyPlatform/scaffold。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    scaffold 已启用,可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考,但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论,再决定是否继续查看上游仓库说明。

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

scaffold

安装 scaffold,这是一款面向AI agent workflows and automation的 AI Agent Skill。支持 Claude Code、Cursor、Windsurf,一键安装。

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

[IMPORTANT] Use TaskCreate to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ask user whether to skip.

Prerequisites: MUST READ .claude/skills/shared/understand-code-first-protocol.md before executing. Prerequisites: MUST READ .claude/skills/shared/scaffold-production-readiness-protocol.md before executing — defines production readiness requirements for all 4 concern areas.

Evidence Gate: MANDATORY IMPORTANT MUST — every claim, finding, and recommendation requires file:line proof or traced evidence with confidence percentage (>80% to act, <80% must verify first).

Quick Summary

Goal: Generate and validate the project's architecture scaffolding — all base classes, interfaces, infrastructure abstractions, and reusable foundation code — BEFORE any feature story implementation begins.

Purpose: The scaffolded project should be copy-ready as a starter template for similar projects. All base code, utilities, interfaces, and infrastructure services are created. All setup follows best practices with generic functions any feature story could reuse.

Key distinction: This is architecture infrastructure creation, NOT feature implementation. Creates the foundation layer that all stories build upon.

Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).

Activation Guards (MANDATORY — Check Before Executing)

ALL conditions must be true to proceed:

  1. Workflow check: Active workflow is greenfield-init OR big-feature. If not → SKIP this skill entirely, mark step as completed.
  2. Existing scaffolding check: AI MUST self-investigate for existing base/foundational abstractions:
    • Abstract/base classes: grep abstract class.*Base|Base[A-Z]\w+|Abstract[A-Z]\w+
    • Generic interfaces: grep interface I\w+<|IGeneric|IBase
    • Infrastructure abstractions: grep IRepository|IUnitOfWork|IService|IHandler
    • Utility/extension layers: grep Extensions|Helpers|Utils|Common (directories or classes)
    • Frontend foundations: grep base.*component|base.*service|base.*store|abstract.*component (case-insensitive)
    • DI/IoC registration: grep AddScoped|AddSingleton|providers:|NgModule|@Injectable
  3. If existing scaffolding found → SKIP. Log: "Existing scaffolding detected at {file:line}. Skipping /scaffold step." Mark step as completed.
  4. If NO foundational abstractions found → PROCEED with full scaffolding workflow below.

When to Use

  • After the second /plan + /plan-review in greenfield-init or big-feature workflows
  • Before /cook begins implementing feature stories
  • When a new service/module needs its own base architecture within an existing project
  • NOT when the project already has established base classes and infrastructure

Workflow

  1. Read Plan — Parse the implementation plan for architecture decisions, tech stack, and domain model
  2. Generate Scaffolding Checklist — Produce a checklist of all required base classes and infrastructure from the Backend + Frontend checklists below
  3. Validate Against Plan — Ensure every architecture decision in the plan has corresponding scaffolding items
  4. Present to User — Use AskUserQuestion to confirm checklist before generating code
  5. Scaffold — Create all base classes, interfaces, abstractions, and infrastructure code
  6. Verify — Compile/build to ensure no syntax errors; validate OOP/SOLID compliance

Backend Scaffolding Categories

AI must self-investigate the chosen tech stack and produce a checklist covering these categories. Names below are illustrative — adapt to match the project's language, framework conventions, and actual needs.

Domain Layer

  • Base entity interface + abstract class (Id, timestamps, audit fields)
  • Value object base (equality by value)
  • Domain event interface

Application Layer

  • Command/query handler abstractions (CQRS if applicable)
  • Validation result pattern
  • Base DTO with mapping protocol
  • Pagination wrapper
  • Operation result pattern (success/failure)

Infrastructure Layer

  • Generic repository interface + one concrete implementation
  • Unit of work interface (if applicable)
  • Messaging/event bus abstraction
  • External service abstractions (cache, storage, email — only if plan requires them)
  • Database context / connection setup
  • DI/IoC registration module

Cross-Cutting

  • Current user context abstraction
  • Testable date/time provider
  • Exception hierarchy (domain, validation, not-found)
  • Error handling middleware
  • Strongly-typed configuration models

Frontend Scaffolding Categories

Core Architecture

  • Base component with lifecycle/destroy cleanup
  • Base form component with validation, dirty tracking
  • Base list component with pagination, sorting, filtering

State & API

  • Base state store with loading/error/data pattern
  • Base API service with interceptors, error handling
  • Auth interceptor + environment config

Shared Utilities

  • Base model with serialization helpers
  • Common utility functions (date, validation, formatting)

UI Foundation

Skip if: Backend-only project, no frontend component. Apply if: Project has ANY frontend.

Design Token Files

  • Create design token file(s) per chosen format (CSS custom properties / SCSS variables / JSON)
  • Define minimum token set: colors (primary, secondary, surface, bg, text, error, success, warning), spacing (xs-xl), typography (heading/body/caption families + sizes), breakpoints, shadows, z-index
  • Create theme file(s) if theming required (light/dark CSS classes or theme provider)

Base Layout & Responsive

  • Base layout component (app shell: header, sidebar/nav, main content, footer)
  • Responsive container/grid utility
  • Responsive mixin/utility for breakpoints
  • Mobile-first media query definitions

Base UI Components

  • Loading indicator component (spinner or skeleton)
  • Error display component (inline + page-level)
  • Empty state component (message + action)
  • Notification/toast component
  • Base button component with variants (primary, secondary, ghost, danger)
  • Base input component with validation display

Design System Documentation

  • Create docs/project-reference/design-system/README.md skeleton with: token naming conventions, component tier classification (Common/Domain-Shared/Page), usage examples

Code Quality Gate Tooling (MANDATORY MUST — Setup Before Any Feature Code)

MANDATORY IMPORTANT MUST scaffold ALL code quality enforcement tools as part of project infrastructure — code that passes without quality gates is technical debt from day one.

Static Analysis & Linting

  • MANDATORY MUST configure language-appropriate linter with strict ruleset (zero warnings policy on new code)
  • MANDATORY MUST configure static code analyzer with quality gate thresholds (complexity, duplication, coverage)
  • MANDATORY MUST enable compiler/transpiler strict mode and treat warnings as errors on build
  • MANDATORY MUST add code style formatter with shared config (enforce consistent formatting across team)

Build-Time Quality Enforcement

  • MANDATORY MUST configure pre-commit hooks to run linter + formatter automatically
  • MANDATORY MUST configure CI pipeline to fail on any linter violation, analyzer warning, or test failure
  • MANDATORY MUST set minimum test coverage threshold in CI (fail build if below)
  • MANDATORY MUST enable security vulnerability scanning in dependency management

Code Rules & Standards

  • MANDATORY MUST create shared linter config file at project root (team-wide consistency)
  • MANDATORY MUST create shared formatter config file at project root
  • MANDATORY MUST create .editorconfig for cross-IDE consistency (indentation, encoding, line endings)
  • MANDATORY MUST document code quality standards in project README or contributing guide

Adaptation Protocol

  • Research the chosen tech stack's ecosystem for best-in-class quality tools
  • Present top 2-3 options per category with pros/cons to user via AskUserQuestion
  • Configure the strictest reasonable defaults — loosen only with explicit user approval
  • Ensure all quality tools run both locally (fast feedback) AND in CI (enforcement gate)

Production Readiness Scaffolding (MANDATORY)

MUST READ .claude/skills/shared/scaffold-production-readiness-protocol.md for full details.

Every scaffolded project MUST include these 4 foundations. AI must detect the tech stack from the plan/architecture report and present 2-3 options per concern via AskUserQuestion.

1. Code Quality Tooling

  • Detect tech stack → select from protocol's option matrices
  • Generate: linter config, formatter config, .editorconfig, pre-commit hooks
  • Present options to user → generate chosen tool's config files
  • Run protocol's verification checklist before proceeding

2. Error Handling Foundation

  • Detect frontend framework → select from protocol's framework patterns
  • Generate: error types, HTTP interceptor, notification service, global error handler
  • Minimum 4 files for frontend, 3 for backend-only
  • Run protocol's verification checklist

3. Loading State Management

  • Detect frontend framework → select from protocol's framework patterns
  • Generate: loading service, HTTP loading interceptor, loading indicator component
  • Counter-based tracking, 300ms display delay, skip token mechanism
  • Run protocol's verification checklist

4. Docker Development Environment

  • Always scaffold (unless user explicitly opts out)
  • Generate: docker-compose.yml (with profiles), Dockerfile (multi-stage), .dockerignore, .env.example
  • Use 127.0.0.1 binding, health checks on all services, non-root user in prod
  • Run protocol's verification checklist

Scaffold Handoff from Architecture-Design

If an architecture report exists (from /architecture-design), read the "Scaffold Handoff — Tool Choices" table and use those selections instead of re-asking the user.

OOP/SOLID Compliance Rules (ENFORCE)

  1. Single Responsibility — Each base class handles ONE concern
  2. Open/Closed — Base classes are extensible via inheritance, closed for modification
  3. Liskov Substitution — Concrete implementations are substitutable for their base
  4. Interface Segregation — Small, focused interfaces (not one giant IService)
  5. Dependency Inversion — All infrastructure behind interfaces, injected via DI

Anti-patterns to prevent:

  • God classes combining multiple concerns
  • Concrete dependencies (always depend on abstractions)
  • Base classes with unused methods that subclasses must override
  • Missing generic type parameters where applicable

Adaptation Protocol

The checklists above are templates. Before scaffolding:

  1. Read the plan — What tech stack was chosen? (e.g., .NET vs Node.js, Angular vs React)
  2. Adapt naming — Match target framework conventions (e.g., C# PascalCase, TypeScript camelCase)
  3. Skip irrelevant items — Not every project needs every item (e.g., skip IFileStorageService if no file uploads)
  4. Add project-specific items — The plan may require additional base classes not in the template
  5. Use AskUserQuestion — Confirm final checklist with user before generating code

Output

After scaffolding is complete:

  1. Scaffolding Report — List of all created files with brief descriptions
  2. Build Verification — Compilation/type-check passes
  3. Architecture Diagram — Optional: generate diagram showing the base class hierarchy
  4. Production Readiness Verification — All 4 concern areas verified via protocol checklists
  5. Config Files Generated — Linter, formatter, pre-commit, Docker configs all created

Verification Gate (MANDATORY before proceeding to /cook)

Run ALL verification checklists from the production readiness protocol:

  • Code quality tooling verified (Section 1)
  • Error handling foundation verified (Section 2)
  • Loading state management verified (Section 3)
  • Docker development environment verified (Section 4)

BLOCK proceeding to /cook if ANY verification item fails. Fix issues first, then re-verify.

Next Steps

MANDATORY IMPORTANT MUST after completing this skill, use AskUserQuestion to recommend:

  • "/cook (Recommended)" — Begin implementing feature stories on top of the scaffolding
  • "/review-changes" — Review scaffolding code before proceeding
  • "Skip, continue manually" — user decides

Closing Reminders

MANDATORY IMPORTANT MUST break work into small todo tasks using TaskCreate BEFORE starting. MANDATORY IMPORTANT MUST validate decisions with user via AskUserQuestion — never auto-decide. MANDATORY IMPORTANT MUST add a final review todo task to verify work quality.

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