incremental-implementation — for Claude Code incremental-implementation, playground, community, for Claude Code, ide skills, turborepo, Incremental, Implementation, Overview, coherent

v1.0.0

关于此技能

适用场景: Ideal for AI agents that need incremental implementation. 本地化技能摘要: A monorepo for experimenting with multi-agent workflows, injected microfrontends, ongoing personal-site. It covers claude, playground, turborepo workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

功能特性

Incremental Implementation
Build one coherent slice at a time. Keep the tree understandable and verifiable
Any implementation spanning multiple files
Refactors that can be split into behavior-preserving steps
Changes with meaningful rollback boundaries

# 核心主题

mortenbroesby mortenbroesby
[1]
[0]
更新于: 4/27/2026

技能概览

先看适用场景、限制条件和安装路径,再决定是否继续深入。

适用场景: Ideal for AI agents that need incremental implementation. 本地化技能摘要: A monorepo for experimenting with multi-agent workflows, injected microfrontends, ongoing personal-site. It covers claude, playground, turborepo workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

核心价值

推荐说明: incremental-implementation helps agents incremental implementation. A monorepo for experimenting with multi-agent workflows, injected microfrontends, ongoing personal-site. This AI agent skill supports Claude

适用 Agent 类型

适用场景: Ideal for AI agents that need incremental implementation.

赋予的主要能力 · incremental-implementation

适用任务: Applying Incremental Implementation
适用任务: Applying Build one coherent slice at a time. Keep the tree understandable and verifiable
适用任务: Applying Any implementation spanning multiple files

! 使用限制与门槛

  • 限制说明: Load only the context needed for that slice.
  • 限制说明: Expand only when the previous slice is coherent and proven.
  • 限制说明: The next change depends on unproven assumptions

关于来源内容

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

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

incremental-implementation 是什么?

适用场景: Ideal for AI agents that need incremental implementation. 本地化技能摘要: A monorepo for experimenting with multi-agent workflows, injected microfrontends, ongoing personal-site. It covers claude, playground, turborepo workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

如何安装 incremental-implementation?

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

incremental-implementation 适用于哪些场景?

典型场景包括:适用任务: Applying Incremental Implementation、适用任务: Applying Build one coherent slice at a time. Keep the tree understandable and verifiable、适用任务: Applying Any implementation spanning multiple files。

incremental-implementation 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。

incremental-implementation 有哪些限制?

限制说明: Load only the context needed for that slice.;限制说明: Expand only when the previous slice is coherent and proven.;限制说明: The next change depends on unproven assumptions。

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 mortenbroesby/playground。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    incremental-implementation 已启用,可立即在当前项目中调用。

! 来源说明

此页面仍可作为安装与查阅参考。继续使用前,请结合上方适用场景、限制条件和上游仓库说明一起判断。

Upstream Repository Material

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Upstream Source

incremental-implementation

安装 incremental-implementation,这是一款面向AI agent workflows and automation的 AI Agent Skill。查看功能、使用场景、限制条件与安装命令。

SKILL.md
Readonly
Upstream Repository Material
The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
Upstream Source

Incremental Implementation

Overview

Build one coherent slice at a time. Keep the tree understandable and verifiable after each step.

When to Use

  • Any implementation spanning multiple files
  • Refactors that can be split into behavior-preserving steps
  • Changes with meaningful rollback boundaries

Process

  1. Pick the next smallest slice that produces visible progress.
  2. Load only the context needed for that slice.
  3. Make the scoped code or docs change.
  4. Run the narrowest relevant verification immediately.
  5. Expand only when the previous slice is coherent and proven.

Rationalizations

RationalizationReality
"It’s faster to wire everything at once"Large blind edits make debugging slower, not faster.
"I’ll test after the full diff is done"Late verification hides the step that introduced the regression.
"This helper cleanup can go in now too"Scope creep makes outcomes harder to reason about.

Red Flags

  • A single diff mixes feature work, cleanup, and infrastructure drift
  • Verification is postponed until the end
  • The next change depends on unproven assumptions

Verification

  • Each slice has a clear purpose
  • Relevant checks run before moving on
  • Scope stayed narrow
  • The tree remains coherent after each step

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