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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
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Architectural guide for Machine-to-Machine (M2M) micro-economies, autonomous agent wallets, and swarm budget allocation. In modern multi-agent swarms, specialized subagents consume external APIs, GPU inference, and web scraping compute. This skill establishes autonomous budget envelopes, micro-escrow smart ledgers, HTTP 402 (Payment Required) headers, and cryptographic micro-settlements (Stripe Issuing virtual cards, stablecoins, or internal token ledgers) to make agent swarms financially self-regulating.
┌────────────────────────────────────────────────────────┐
│ 1. SWARM TREASURY (Root Envelope: $5.00) │
│ Director decomposes goal into budgeted subtasks │
└───────────────────────────┬────────────────────────────┘
│
▼
┌────────────────────────────────────────────────────────┐
│ 2. MICRO-ESCROW LOCK │
│ Allocate $0.15 to Subtask-A Escrow Account │
└───────────────────────────┬────────────────────────────┘
│
▼
┌────────────────────────────────────────────────────────┐
│ 3. BIDDING & TASK EXECUTION │
│ Subagent A (FastScraper) executes task within caps │
└───────────────────────────┬────────────────────────────┘
│
▼
┌────────────────────────────────────────────────────────┐
│ 4. CRITIC VERIFICATION & SETTLEMENT │
│ Critic passes output ──► Release $0.15 to subagent │
│ Critic rejects ──► Refund Escrow to Treasury │
└────────────────────────────────────────────────────────┘
// src/services/agent-micro-economy.ts
import crypto from 'node:crypto';
export interface EscrowContract {
id: string;
sourceAgent: string;
workerAgent: string;
amountCents: number;
status: 'PENDING' | 'RELEASED' | 'REFUNDED';
expiresAt: number;
}
export class AgentTreasury {
private balanceCents: number;
private escrows: Map<string, EscrowContract> = new Map();
constructor(initialBudgetUsd: number) {
this.balanceCents = Math.round(initialBudgetUsd * 100);
}
createEscrow(workerAgent: string, costCents: number, ttlSeconds = 60): EscrowContract {
if (this.balanceCents < costCents) {
throw new Error(`[Treasury] Insufficient funds: balance is ${this.balanceCents}¢, needed ${costCents}¢`);
}
this.balanceCents -= costCents;
const escrow: EscrowContract = {
id: crypto.randomUUID(),
sourceAgent: 'SwarmDirector',
workerAgent,
amountCents: costCents,
status: 'PENDING',
expiresAt: Date.now() + ttlSeconds * 1000,
};
this.escrows.set(escrow.id, escrow);
return escrow;
}
releaseEscrow(escrowId: string, verifiedByCritic: boolean): boolean {
const contract = this.escrows.get(escrowId);
if (!contract || contract.status !== 'PENDING') return false;
if (verifiedByCritic && Date.now() <= contract.expiresAt) {
contract.status = 'RELEASED';
console.log(`[Treasury] Released ${contract.amountCents}¢ to ${contract.workerAgent}`);
return true;
} else {
// Refund back to root treasury
contract.status = 'REFUNDED';
this.balanceCents += contract.amountCents;
console.warn(`[Treasury] Refunded ${contract.amountCents}¢ to Director Treasury.`);
return false;
}
}
getBalanceUsd(): string {
return `$${(this.balanceCents / 100).toFixed(2)}`;
}
}
quality-guardian / autonomous-tdd-debugger).multi-agent-orchestration: Coordinates task bidding across specialized subagent pools.llm-finops-router: Dynamically routes prompts to cheaper models to preserve the task's budget envelope.saas-billing: Connects agent treasury ledgers to customer billing quotas.agentic-m2m-settlement: Handles low-level fiat and stablecoin settlement rails.<a name="bahasa-indonesia"></a>
Terhubung dan mengorkestrasi bersama multi-agent-orchestration, llm-finops-router, saas-billing, dan agentic-m2m-settlement.
Panduan arsitektur untuk ekonomi mikro Mesin-ke-Mesin (Machine-to-Machine / M2M), dompet agen otonom, dan alokasi anggaran swarm. Dalam arsitektur multi-agen skala besar, subagen terspesialisasi mengonsumsi API eksternal, komputasi GPU, dan scraping berbayar. Skill ini merancang pagu anggaran (budget envelope), buku besar mikro-escrow cerdas, respons HTTP 402 (Payment Required), dan kliring mikro kriptografis untuk menciptakan swarm agen yang sadar biaya (cost-aware) dan mampu meregulasi keuangannya sendiri.
// Contoh eksekusi tugas bersyarat anggaran
export async function executeDelegatedSubtask(
taskPrompt: string,
treasury: AgentTreasury,
workerCostCents = 10
) {
// 1. Kunci dana ke dalam kontrak escrow
const escrow = treasury.createEscrow('WebSearchAgent', workerCostCents, 30);
try {
// 2. Jalankan subagen pekerja
const result = await invokeSubagentWorker(taskPrompt);
// 3. Verifikasi kualitas hasil melalui test/critic
const isQualityApproved = validateResultQuality(result);
treasury.releaseEscrow(escrow.id, isQualityApproved);
return result;
} catch (error) {
treasury.releaseEscrow(escrow.id, false); // Kembalikan dana jika gagal
throw error;
}
}
multi-agent-orchestration: Menyelaraskan pembagian peran subagen dan delegasi tugas.llm-finops-router: Mengoptimalkan pemilihan tier model agar tetap berada di bawah batas anggaran.saas-billing: Menghubungkan konsumsi kredit agen dengan kuota langganan pengguna.agentic-m2m-settlement: Menangani transfer nilai riil antar dompet agen AI.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
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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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert guide for autonomous Machine-to-Machine (M2M) agent settlement, dual-rail fiat & stablecoin micro-clearing, dynamic budget envelopes, and cryptographic agent invoicing / Panduan ahli settlement otonom antar-agen (M2M), kliring mikro dual-rail fiat & stablecoin, pagu anggaran dinamis, dan penagihan agen kriptografis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.