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 workflow automation (n8n, Zapier, Make), custom nodes, webhook triggers, and AI-powered automation chains / Panduan ahli otomasi workflow (n8n, Zapier, Make), custom nodes, webhook triggers, dan rantai otomasi berbasis AI.
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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cron-scheduler-expert: Scheduled triggers for automation workflows.ai-llm-integration-expert: AI-powered automation steps and LLM chains.email-notification-expert: Email triggers and notification actions.webhook-receiver: Webhook endpoints as automation triggers.Expert guide for building automation workflows with n8n (self-hosted, open-source), Zapier, and Make (Integromat). Covers workflow design, custom n8n nodes, webhook triggers, AI chains within workflows, error handling, credential management, and integration patterns with databases, APIs, and messaging platforms.
| Platform | Hosting | Custom Code | AI Support | Pricing | Best For |
|---|---|---|---|---|---|
| n8n | Self-hosted/Cloud | ✅ Full | ✅ AI nodes | Free (self) | Developers, privacy |
| Zapier | Cloud only | Limited | ✅ AI actions | $29+/mo | Non-technical teams |
| Make | Cloud only | ✅ Modules | ✅ AI modules | $10+/mo | Visual workflows |
Recommendation: Use n8n for developer teams needing full control and self-hosting. Use Zapier for simple integrations by non-technical users.
// Custom n8n node — AI Content Processor
import { IExecuteFunctions, INodeExecutionData, INodeType, INodeTypeDescription } from 'n8n-workflow';
export class AiContentProcessor implements INodeType {
description: INodeTypeDescription = {
displayName: 'AI Content Processor',
name: 'aiContentProcessor',
group: ['transform'],
version: 1,
inputs: ['main'],
outputs: ['main'],
properties: [
{ displayName: 'Prompt Template', name: 'prompt', type: 'string', default: '' },
{ displayName: 'Model', name: 'model', type: 'options', options: [
{ name: 'GPT-4o', value: 'gpt-4o' },
{ name: 'Claude 4 Sonnet', value: 'claude-4-sonnet' },
], default: 'gpt-4o' },
],
};
async execute(this: IExecuteFunctions): Promise<INodeExecutionData[][]> {
const items = this.getInputData();
const prompt = this.getNodeParameter('prompt', 0) as string;
// Process each item with AI...
return [items];
}
}
cron-scheduler-expert, ai-llm-integration-expert, webhook-receiver<a name="bahasa-indonesia"></a>
Panduan ahli untuk membangun alur kerja otomatis dengan n8n, Zapier, dan Make. Mencakup desain workflow, custom nodes n8n, webhook triggers, rantai AI, dan integrasi dengan database dan API.
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。