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 maps and geospatial data (Mapbox GL JS, Leaflet, Google Maps, PostGIS) / Panduan ahli peta dan data geospasial (Mapbox GL JS, Leaflet, Google Maps, PostGIS).
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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database-orm-expert: PostGIS spatial queries and index optimization.senior-frontend: React map component patterns.mobile-expo-expert: React Native Maps integration.performance-web-vitals: Map rendering performance optimization.Expert guide for integrating maps and geospatial data into web and mobile applications. Covers Mapbox GL JS v3, Leaflet, Google Maps Platform, PostGIS spatial queries, GeoJSON data handling, clustering, routing/directions, geocoding, heatmaps, and location-based search.
| Library | Rendering | 3D | Free Tier | Best For |
|---|---|---|---|---|
| Mapbox GL JS v3 | WebGL | ✅ | 50K loads/mo | Premium maps, 3D |
| Leaflet | DOM | ❌ | Unlimited (OSM) | Simple, lightweight |
| Google Maps | WebGL | ✅ | $200/mo credit | Business, Street View |
| deck.gl | WebGL | ✅ | Open-source | Large-scale data viz |
// React + Mapbox GL JS
import Map, { Marker, Popup, NavigationControl } from 'react-map-gl';
import 'mapbox-gl/dist/mapbox-gl.css';
function StoreLocator({ stores }) {
return (
<Map
mapboxAccessToken={process.env.NEXT_PUBLIC_MAPBOX_TOKEN}
initialViewState={{ longitude: 106.8456, latitude: -6.2088, zoom: 12 }}
style={{ width: '100%', height: 500 }}
mapStyle="mapbox://styles/mapbox/dark-v11"
>
<NavigationControl position="top-right" />
{stores.map((store) => (
<Marker key={store.id} longitude={store.lng} latitude={store.lat}>
<div className="marker-pin" />
</Marker>
))}
</Map>
);
}
database-orm-expert, senior-frontend, mobile-expo-expert<a name="bahasa-indonesia"></a>
Panduan ahli mengintegrasikan peta dan data geospasial ke dalam aplikasi web dan mobile. Mencakup Mapbox GL JS, Leaflet, Google Maps Platform, PostGIS, dan GeoJSON.
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。