Expert guide for automated and manual Web Accessibility (a11y) testing — axe-core, Pa11y, Playwright a11y, screen reader testing, and WCAG 2.2 Level AA/AAA compliance / Panduan ahli pengujian aksesibilitas web.
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。
Expert guide for designing and managing scalable monorepos using Turborepo, pnpm workspaces, and shared packages / Panduan ahli untuk merancang dan mengelola monorepo skalabel menggunakan Turborepo dan pnpm workspaces.
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。
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Connects and orchestrates with relevant domain skills like brainstorming, zero-to-prod-orchestrator, and session-memory-manager to ensure cohesive execution.
Expert guide for designing and managing scalable monorepos. Covers Turborepo 2.x (the 2026 standard for JS/TS monorepos), moon (polyglot task runner for teams mixing JS + Rust + Go), pnpm workspaces, shared package design, incremental builds, remote caching, and CI/CD pipeline optimization.
web, admin, api, and packages.| Tool | Best For | Language Agnostic |
|---|---|---|
| Turborepo 2.x | JS/TS monorepos (Next.js, Vite, Node) | ❌ (JS focused) |
| moon | Polyglot teams (JS + Go + Rust + Python) | ✅ |
| Nx | Enterprise, Angular/React, plugin ecosystem | ❌ (JS focused) |
| Bazel | Very large orgs, hermetic builds | ✅ |
my-saas/
├── apps/
│ ├── web/ # Next.js 15 main app
│ ├── admin/ # Next.js 15 super admin (subdomain)
│ └── api/ # Hono/Fastify backend
├── packages/
│ ├── ui/ # Shared Tailwind v4 components
│ ├── db/ # Drizzle ORM schema + queries
│ ├── auth/ # Auth utilities (session, JWT)
│ ├── email/ # Email templates (React Email)
│ └── tsconfig/ # Shared TypeScript configs
├── turbo.json
├── pnpm-workspace.yaml
└── package.json
{
"$schema": "https://turbo.build/schema.json",
"ui": "tui",
"tasks": {
"build": {
"dependsOn": ["^build"],
"inputs": ["$TURBO_DEFAULT$", ".env*"],
"outputs": [".next/**", "!.next/cache/**", "dist/**"]
},
"dev": {
"cache": false,
"persistent": true
},
"test": {
"dependsOn": ["^build"],
"inputs": ["src/**", "test/**", "vitest.config.*"]
},
"lint": {
"inputs": ["src/**", "*.config.*", ".eslintrc*"]
},
"typecheck": {
"dependsOn": ["^build"]
},
"db:generate": {
"cache": false
}
}
}
packages:
- "apps/*"
- "packages/*"
# Authenticate with Vercel Remote Cache
npx turbo login
npx turbo link
# Or self-hosted with Turborepo Remote Cache
TURBO_TEAM=my-team TURBO_TOKEN=xxx turbo build
packages/ui)// packages/ui/package.json
{
"name": "@myapp/ui",
"version": "0.0.0",
"private": true,
"exports": {
"./button": {
"import": "./src/button.tsx",
"types": "./src/button.tsx"
},
"./card": {
"import": "./src/card.tsx",
"types": "./src/card.tsx"
}
},
"peerDependencies": {
"react": "^19.0.0",
"react-dom": "^19.0.0"
}
}
Use "exports" pointing to source files directly — Turborepo compiles them as part of the consuming app:
// packages/db/package.json
{
"name": "@myapp/db",
"exports": {
".": {
"import": "./src/index.ts",
"types": "./src/index.ts"
}
},
"devDependencies": {
"drizzle-orm": "latest",
"drizzle-kit": "latest"
}
}
For teams mixing JavaScript, Go, Rust, and Python in one repo:
# .moon/workspace.yml
projects:
- "apps/*"
- "packages/*"
- "services/*" # Go/Rust microservices
vcs:
manager: "git"
defaultBranch: "main"
# apps/api/moon.yml (Go service)
language: "go"
type: "application"
tasks:
build:
command: "go build -o ./bin/api ./cmd/api"
inputs: ["src/**/*.go", "go.mod"]
outputs: ["bin/api"]
test:
command: "go test ./..."
# .github/workflows/ci.yml
- name: Build & Test (Turborepo)
run: |
npx turbo run build test lint typecheck \
--filter="...[origin/main]" \ # Only changed packages
--cache-dir=".turbo"
env:
TURBO_TOKEN: ${{ secrets.TURBO_TOKEN }}
TURBO_TEAM: ${{ vars.TURBO_TEAM }}
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Terhubung dan mengorkestrasi skill domain yang relevan seperti brainstorming, zero-to-prod-orchestrator, dan session-memory-manager untuk memastikan eksekusi yang kohesif.
Panduan ahli untuk merancang dan mengelola monorepo yang skalabel. Mencakup Turborepo 2.x (standar 2026 untuk monorepo JS/TS), moon (task runner poliglot untuk tim yang memadukan JS + Rust + Go), pnpm workspaces, desain shared package, incremental build, remote caching, dan optimasi pipeline CI/CD.
web, admin, api, dan packages terpisah.Pisahkan apps/ (aplikasi yang dapat di-deploy) dari packages/ (shared library internal):
apps/web — Next.js utamaapps/admin — Dashboard Super Admin (subdomain terpisah)apps/api — Backend APIpackages/ui — Komponen UI bersama (Tailwind v4)packages/db — Skema Drizzle ORM + querypackages/auth — Utilitas authTurborepo 2.x memperkenalkan TUI interaktif ("ui": "tui"), sintaksis tasks yang lebih ekspresif, dan caching yang lebih granular dengan inputs/outputs.
Arahkan exports langsung ke file sumber TypeScript — Turborepo mengkompilasi sebagai bagian dari aplikasi yang mengonsumsinya. Ini menghilangkan kebutuhan langkah build terpisah untuk setiap package.
Moon mendukung proyek dalam bahasa yang berbeda (Go, Rust, JS) dalam satu workspace, masing-masing dengan konfigurasi moon.yml-nya sendiri.
Gunakan flag --filter="...[origin/main]" Turborepo untuk hanya membangun dan menguji package yang berubah sejak commit terakhir. Gunakan remote cache Vercel atau self-hosted untuk berbagi cache antar runner CI.
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。
概要と使いどころ
Expert guide for automated and manual Web Accessibility (a11y) testing — axe-core, Pa11y, Playwright a11y, screen reader testing, and WCAG 2.2 Level AA/AAA compliance / Panduan ahli pengujian aksesibilitas web.
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。
Expert guide for intelligent model cascading and routing — complexity-scored task routing from Flash/Haiku to Sonnet/Opus/Astra, dynamic escalation with quality gates, 40-60% token cost reduction while maintaining output quality / Panduan ahli untuk kaskade dan routing model cerdas — routing tugas berbasis skor kompleksitas dari Flash/Haiku ke Sonnet/Opus/Astra, eskalasi dinamis dengan gerbang kualitas, pengurangan biaya token 40-60% dengan kualitas output terjaga.
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。
Expert guide for Affective Computing, emotional AI, and real-time sentiment analysis through native multimodal tokens (voice intonation and facial micro-expressions) / Panduan ahli komputasi afektif, AI emosional, dan analisis sentimen real-time melalui token multimodal native.
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。
Expert guide for AI-assisted coding workflows — agentic code generation, multi-agent code swarms, self-healing CI/CD, automated PR review, spec-to-code pipelines, codebase knowledge graphs, and human-in-the-loop approval gates / Panduan ahli untuk workflow pengkodean berbasis AI — generasi kode agentic, code swarm multi-agen, CI/CD self-healing, review PR otomatis, pipeline spec-to-code, knowledge graph codebase, dan gate persetujuan human-in-the-loop.
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。
Expert guide for long-term episodic memory integration (Mem0 v2, Letta/MemGPT, Zep v2), memory tier architecture, pgvector HNSW storage, and unified context management for autonomous AI agents / Panduan ahli untuk integrasi memori episodik jangka panjang (Mem0 v2, Letta/MemGPT, Zep v2), arsitektur tier memori, penyimpanan pgvector HNSW, dan manajemen konteks terpadu untuk agen AI otonom.
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。
Expert guide for designing Machine-to-Machine (M2M) micro-economies, autonomous agent wallets, and swarm budget allocation / Panduan ahli merancang ekonomi mikro antar-agen (M2M), dompet agen otonom, dan alokasi anggaran swarm.
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。