gen-code-tour — for Claude Code gen-code-tour, littlerae, community, for Claude Code, ide skills, technical-writer, selection, Generation, Problem, developers

v1.0.0

이 스킬 정보

적합한 상황: Ideal for AI agents that need code tour generation. 현지화된 요약: Versión de escritorio del Diccionario de la RAE # Code Tour Generation Problem New developers joining a project face a steep learning curve. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

기능

Code Tour Generation
New developers joining a project face a steep learning curve. Documentation describes
what the system does but rarely provides a guided path through how the code
implements it. Reading files in alphabetical order or random discovery leads to
fragmented understanding. Developers need a curated path through the codebase that

# 핵심 주제

klod68 klod68
[1]
[0]
업데이트: 4/8/2026

Skill Overview

Start with fit, limitations, and setup before diving into the repository.

적합한 상황: Ideal for AI agents that need code tour generation. 현지화된 요약: Versión de escritorio del Diccionario de la RAE # Code Tour Generation Problem New developers joining a project face a steep learning curve. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

이 스킬을 사용하는 이유

추천 설명: gen-code-tour helps agents code tour generation. Versión de escritorio del Diccionario de la RAE # Code Tour Generation Problem New developers joining a project face a steep learning curve. This AI agent skill

최적의 용도

적합한 상황: Ideal for AI agents that need code tour generation.

실행 가능한 사용 사례 for gen-code-tour

사용 사례: Applying Code Tour Generation
사용 사례: Applying New developers joining a project face a steep learning curve. Documentation describes
사용 사례: Applying what the system does but rarely provides a guided path through how the code

! 보안 및 제한 사항

  • 제한 사항: fragmented understanding. Developers need a curated path through the codebase that
  • 제한 사항: A new developer is joining the team and needs to understand the architecture
  • 제한 사항: A code review involves changes across multiple modules that reviewers need context for

About The Source

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

Labs 데모

Browser Sandbox Environment

⚡️ Ready to unleash?

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

Boot Container Sandbox

FAQ 및 설치 단계

These questions and steps mirror the structured data on this page for better search understanding.

? 자주 묻는 질문

gen-code-tour은 무엇인가요?

적합한 상황: Ideal for AI agents that need code tour generation. 현지화된 요약: Versión de escritorio del Diccionario de la RAE # Code Tour Generation Problem New developers joining a project face a steep learning curve. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

gen-code-tour은 어떻게 설치하나요?

다음 명령을 실행하세요: npx killer-skills add klod68/littlerae. Cursor, Windsurf, VS Code, Claude Code와 19개 이상의 다른 IDE에서 동작합니다.

gen-code-tour은 어디에 쓰이나요?

주요 활용 사례는 다음과 같습니다: 사용 사례: Applying Code Tour Generation, 사용 사례: Applying New developers joining a project face a steep learning curve. Documentation describes, 사용 사례: Applying what the system does but rarely provides a guided path through how the code.

gen-code-tour 와 호환되는 IDE는 무엇인가요?

이 스킬은 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 와 호환됩니다. 통합 설치에는 Killer-Skills CLI를 사용하세요.

gen-code-tour에 제한 사항이 있나요?

제한 사항: fragmented understanding. Developers need a curated path through the codebase that. 제한 사항: A new developer is joining the team and needs to understand the architecture. 제한 사항: A code review involves changes across multiple modules that reviewers need context for.

이 스킬 설치 방법

  1. 1. 터미널 열기

    프로젝트 디렉터리에서 터미널 또는 명령줄을 여세요.

  2. 2. 설치 명령 실행

    npx killer-skills add klod68/littlerae 를 실행하세요. CLI가 IDE 또는 에이전트를 자동으로 감지하고 스킬을 설정합니다.

  3. 3. 스킬 사용 시작

    스킬이 이제 활성화되었습니다. 현재 프로젝트에서 gen-code-tour을 바로 사용할 수 있습니다.

! Source Notes

This page is still useful for installation and source reference. Before using it, compare the fit, limitations, and upstream repository notes above.

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

gen-code-tour

Install gen-code-tour, an AI agent skill for AI agent workflows and automation. Explore features, use cases, limitations, and setup guidance.

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

Code Tour Generation

Problem

New developers joining a project face a steep learning curve. Documentation describes what the system does but rarely provides a guided path through how the code implements it. Reading files in alphabetical order or random discovery leads to fragmented understanding. Developers need a curated path through the codebase that builds understanding progressively.

When to Use

  • A new developer is joining the team and needs to understand the architecture
  • A complex feature spans 5+ files and benefits from a guided walkthrough
  • A code review involves changes across multiple modules that reviewers need context for
  • The project has a Clean Architecture or CQRS structure that newcomers find disorienting
  • You want to document how a request flows from endpoint to database

When NOT to use:

  • The codebase has fewer than 10 files — a README is sufficient
  • You need API documentation — use the technical-writer agent instead
  • The tour would be a single file — just add inline comments

Instruction

Generate a VSCode CodeTour file (.tours/{tour-name}.tour) that guides the reader through the codebase with progressive disclosure.

Tour Structure

Every tour follows the Concentric Circles pattern — start at the outermost layer (entry point, configuration) and spiral inward toward the core domain logic:

1. Entry point (Program.cs, endpoint, hub)
2. Configuration (DI registration, options)
3. Application layer (handler, pipeline)
4. Domain layer (entity, value object, domain service)
5. Infrastructure layer (repository, external service)
6. Cross-cutting (middleware, filters, interceptors)

Step Types

Step TypeUseCodeTour Properties
DirectoryExplain a folder's purpose and contentsdirectory: "src/Domain/"
FileExplain a file's role in the architecturefile: "src/Domain/Order.cs"
LinePoint to a specific code constructfile + line
SelectionHighlight a range of codefile + selection (start/end)

Step Content Guidelines

  • Title: Short, descriptive — what this step teaches (not what the code does)
  • Description: 2-4 sentences explaining the architectural significance
  • Progressive: Each step builds on the previous one — never reference concepts not yet introduced
  • Actionable: End each step with what to look for or understand before moving on

Output Format

Generate a JSON file following the CodeTour schema:

json
1{ 2 "$schema": "https://aka.ms/codetour-schema", 3 "title": "{Tour Title}", 4 "description": "{One-sentence purpose of this tour}", 5 "steps": [ 6 { 7 "title": "Step 1: Entry Point", 8 "description": "This is where requests enter the system...", 9 "file": "src/WebApi/Program.cs", 10 "line": 42 11 }, 12 { 13 "title": "Step 2: DI Registration", 14 "description": "All services are registered here...", 15 "directory": "src/WebApi/Extensions/" 16 } 17 ] 18}

Tour Categories

Generate tours for these standard scenarios:

CategoryStarting PointKey Stops
Architecture OverviewSolution structureLayer boundaries, dependency flow, key abstractions
Request FlowEndpoint/ControllerValidation → Handler → Domain → Repository → Response
Domain ModelAggregate rootEntities, value objects, domain events, invariants
Testing StrategyTest project structureUnit → Integration → test helpers, builders
Configurationappsettings.jsonOptions classes, validation, DI wiring

Quality Gates

  • Every tour must have ≥ 5 steps and ≤ 25 steps
  • Every step must reference a real file/directory that exists in the project
  • No two consecutive steps should be in the same file (vary the perspective)
  • The first step must orient the reader (where are we, what will we learn)
  • The last step must summarize what was learned and suggest next exploration

Output Schema

  1. The .tour JSON file content
  2. Suggested file path: .tours/{category}-{subject}.tour
  3. A summary of what the tour covers and its target audience

See Also

  • scaffold-clean-arch — Clean Architecture project structure (tour often follows this layout)
  • gen-copilot-instructions — Documentation generation for AI context files

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