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cccskills
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app-builder

Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.

インストール方法を見る

含まれるファイル(20)

  • SKILL.md3.1 KB
  • agent-coordination.md5.4 KB
  • feature-building.md1.1 KB
  • project-detection.md1.3 KB
  • scaffolding.md3.5 KB
  • tech-stack.md886 B
  • templates/astro-static/TEMPLATE.md1.7 KB
  • templates/chrome-extension/TEMPLATE.md1.9 KB
  • templates/cli-tool/TEMPLATE.md1.7 KB
  • templates/electron-desktop/TEMPLATE.md1.8 KB
  • templates/express-api/TEMPLATE.md1.7 KB
  • templates/flutter-app/TEMPLATE.md1.8 KB
  • templates/monorepo-turborepo/TEMPLATE.md1.8 KB
  • templates/nextjs-fullstack/TEMPLATE.md1.6 KB
  • templates/nextjs-saas/TEMPLATE.md2.2 KB
  • templates/nextjs-static/TEMPLATE.md2.0 KB
  • templates/nuxt-app/TEMPLATE.md2.1 KB
  • templates/python-fastapi/TEMPLATE.md1.7 KB
  • templates/react-native-app/TEMPLATE.md1.9 KB
  • templates/SKILL.md1.5 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

App Builder - Application Building Orchestrator

Analyzes user's requests, determines tech stack, plans structure, and coordinates agents.

🎯 Selective Reading Rule

Read ONLY files relevant to the request! Check the content map, find what you need.

FileDescriptionWhen to Read
project-detection.mdKeyword matrix, project type detectionStarting new project
tech-stack.md2025 default stack, alternativesChoosing technologies
agent-coordination.mdAgent pipeline, execution orderCoordinating multi-agent work
scaffolding.mdDirectory structure, core filesCreating project structure
feature-building.mdFeature analysis, error handlingAdding features to existing project
templates/SKILL.mdProject templatesScaffolding new project

📦 Templates (13)

Quick-start scaffolding for new projects. Read the matching template only!

TemplateTech StackWhen to Use
nextjs-fullstackNext.js + PrismaFull-stack web app
nextjs-saasNext.js + StripeSaaS product
nextjs-staticNext.js + FramerLanding page
nuxt-appNuxt 3 + PiniaVue full-stack app
express-apiExpress + JWTREST API
python-fastapiFastAPIPython API
react-native-appExpo + ZustandMobile app
flutter-appFlutter + RiverpodCross-platform mobile
electron-desktopElectron + ReactDesktop app
chrome-extensionChrome MV3Browser extension
cli-toolNode.js + CommanderCLI app
monorepo-turborepoTurborepo + pnpmMonorepo

🔗 Related Agents

AgentRole
project-plannerTask breakdown, dependency graph
frontend-specialistUI components, pages
backend-specialistAPI, business logic
database-architectSchema, migrations
devops-engineerDeployment, preview

Usage Example

User: "Make an Instagram clone with photo sharing and likes"

App Builder Process:
1. Project type: Social Media App
2. Tech stack: Next.js + Prisma + Cloudinary + Clerk
3. Create plan:
   ├─ Database schema (users, posts, likes, follows)
   ├─ API routes (12 endpoints)
   ├─ Pages (feed, profile, upload)
   └─ Components (PostCard, Feed, LikeButton)
4. Coordinate agents
5. Report progress
6. Start preview

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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2d-games

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2D game development principles. Sprites, tilemaps, physics, camera.

日本語の概要は準備中です。原文の説明を表示しています。

VoDaiLocz/kilo-kit-mcp272026年9月13日 更新

3d-games

無料

3D game development principles. Rendering, shaders, physics, cameras.

日本語の概要は準備中です。原文の説明を表示しています。

VoDaiLocz/kilo-kit-mcp272026年9月13日 更新

aesthetic

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Create aesthetically beautiful interfaces following proven design principles. Use when building UI/UX, analyzing designs from inspiration sites, generating design images with ai-multimodal, implementing visual hierarchy and color theory, adding micro-interactions, or creating design documentation. Includes workflows for capturing and analyzing inspiration screenshots with chrome-devtools and ai-multimodal, iterative design image generation until aesthetic standards are met, and comprehensive design system guidance covering BEAUTIFUL (aesthetic principles), RIGHT (functionality/accessibility), SATISFYING (micro-interactions), and PEAK (storytelling) stages. Integrates with chrome-devtools, ai-multimodal, media-processing, ui-styling, and web-frameworks skills.

日本語の概要は準備中です。原文の説明を表示しています。

VoDaiLocz/kilo-kit-mcp272026年9月13日 更新

Use when implementing or managing persistent, hierarchical memory systems for AI agents. Covers cross-session state, fact supersession, and self-managed memory tools to enable long-term recall and adaptive agent behavior.

日本語の概要は準備中です。原文の説明を表示しています。

VoDaiLocz/kilo-kit-mcp272026年9月13日 更新

Use when monitoring, tracing, or debugging agentic workflows in production. Keywords: observability, tracing, OpenTelemetry, Langfuse, latency, token cost, loop detection, telemetry.

日本語の概要は準備中です。原文の説明を表示しています。

VoDaiLocz/kilo-kit-mcp272026年9月13日 更新

Use when building self-correcting retrieval systems for AI agents. Keywords: RAG, retrieval, Corrective RAG, Self-RAG, query decomposition, reranking, hallucination, grounding.

日本語の概要は準備中です。原文の説明を表示しています。

VoDaiLocz/kilo-kit-mcp272026年9月13日 更新

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