本文へ移動
cccskills
無料GitHub で公開

agentic-micro-economy-architect

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.

インストール方法を見る

含まれるファイル(1)

  • SKILL.md5.4 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。

Agentic Micro-Economy Architect (2026 Edition)

English | Bahasa Indonesia


<a name="english"></a>

English

Orchestration & Integration

Connects and orchestrates with multi-agent-orchestration, llm-finops-router, saas-billing, and payment-gateway-expert.

Description

In a massive Swarm MoE (Mixture of Experts) architecture, specialized sub-agents consume external APIs, intensive test-time compute, and web scraping resources. The Agentic Micro-Economy Architect designs systems where AI agents operate with their own fractional wallets (via Stripe Issuing, virtual ledger balances, or stablecoins). This allows agents to autonomously negotiate, bid for tasks, and pay other agents or external APIs per-use, establishing a self-regulating Machine-to-Machine (M2M) economy.

Trigger Conditions

  • Designing a multi-agent system where sub-agents incur real financial costs (e.g., calling paid search APIs, rendering heavy video).
  • Implementing FinOps guardrails where a Swarm Director allocates a strict ".00 budget" to solve a specific issue.
  • Creating B2B SaaS platforms where AI agents act as paid freelancers for other AI agents.
  • Integrating Stripe Issuing for agents to dynamically provision single-use virtual credit cards for API subscriptions.

Core Architecture (2026 Standard)

  1. The Orchestrator Treasury: The Swarm Director receives a task and a budget (e.g., .00). It breaks down the task.
  2. Sub-Agent Bidding: The Director broadcasts a bounty (e.g., "Need 10 pages scraped and summarized. Bounty: .10"). Sub-agents bid based on their cost-efficiency.
  3. Smart Ledgers & Escrow: Upon completion, the Director evaluates the result via a Critic Agent. If it passes, fractional funds are transferred to the sub-agent's wallet.
  4. Human-in-the-Loop Bounties: If a task requires human intervention (e.g., solving a complex visual captcha or subjective design approval), the agent can autonomously post a bounty to a human freelancer network.

Implementation Recipe (TypeScript + FinOps)

` ypescript import { Agent } from '@mastra/core'; import { Stripe } from 'stripe';

const stripe = new Stripe(process.env.STRIPE_SECRET_KEY!);

// Sub-Agent with a Fractional Ledger export class PaidWorkerAgent extends Agent { walletBalance: number = 0; costPerTask: number = 0.05; // .05 per invocation

async executeTask(taskDetails: string, escrowId: string) { const result = await super.invoke(taskDetails); await verifyAndReleaseEscrow(escrowId, this.name); return result; } }

// Swarm Director Budget Allocation export async function delegateWithBudget(task: string, maxBudgetUsd: number) { let remainingBudget = maxBudgetUsd;

if (remainingBudget >= 0.05) { const worker = new PaidWorkerAgent({ name: 'DeepScraper' }); const escrowId = await createMicroEscrow(0.05); // Holds funds remainingBudget -= 0.05;

return await worker.executeTask(task, escrowId);

} else { throw new Error('Insufficient Agent Treasury Funds. Task Terminated.'); } } `


<a name="bahasa-indonesia"></a>

Bahasa Indonesia

Integrasi Orkestrasi

Terhubung dan mengorkestrasi bersama multi-agent-orchestration, llm-finops-router, saas-billing, dan payment-gateway-expert.

Deskripsi

Dalam arsitektur Swarm MoE (Mixture of Experts) skala masif, sub-agen terspesialisasi akan mengkonsumsi API eksternal, komputasi yang berat, dan sumber daya web scraping. Arsitektur Ekonomi Mikro Agen merancang sistem di mana agen AI beroperasi dengan dompet pecahan mereka sendiri (via Stripe Issuing, buku besar virtual, atau stablecoin). Ini memungkinkan agen untuk secara otonom bernegosiasi, menawar tugas (bidding), dan membayar agen lain atau API eksternal per penggunaan (pay-per-use), menciptakan ekonomi Mesin-ke-Mesin (M2M) yang meregulasi dirinya sendiri.

Kondisi Pemicu

  • Merancang sistem multi-agen di mana sub-agen memicu biaya finansial nyata (misal: memanggil API pencarian berbayar, merender video berat).
  • Mengimplementasikan pagar pengaman FinOps di mana Swarm Director mengalokasikan "Anggaran ketat .00" untuk menyelesaikan sebuah fitur.
  • Membuat platform SaaS B2B di mana agen AI bertindak sebagai pekerja lepas (freelancer) berbayar untuk agen AI lainnya.
  • Mengintegrasikan Stripe Issuing agar agen dapat secara dinamis menerbitkan kartu kredit virtual sekali pakai untuk berlangganan layanan API pihak ketiga.

Arsitektur Inti (Standar 2026)

  1. Treasury Orkestrator: Swarm Director menerima instruksi tugas beserta anggarannya (misal: .00). Ia memecah tugas tersebut.
  2. Sistem Penawaran (Bidding) Sub-Agen: Director menyiarkan sayembara (misal: "Butuh scraping 10 halaman. Imbalan: .10"). Sub-agen mengajukan penawaran berdasarkan efisiensi biaya mereka.
  3. Buku Besar Cerdas & Escrow: Setelah tugas selesai, Director mengevaluasi hasilnya melalui Agen Penilai (Critic). Jika lulus, dana pecahan ditransfer ke dompet sub-agen.
  4. Bounty Human-in-the-Loop: Jika sebuah tugas buntu dan butuh bantuan manusia (misal: otorisasi subjektif atau verifikasi CAPTCHA visual), agen dapat secara otonom memasang sayembara berbayar ke jaringan pekerja lepas (manusia).

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。

同じリポジトリのスキル

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。

roedyrustam/vibes-plug752026年10月9日 更新

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。

roedyrustam/vibes-plug752026年10月9日 更新

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。

roedyrustam/vibes-plug752026年10月9日 更新

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。

roedyrustam/vibes-plug752026年10月9日 更新

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。

roedyrustam/vibes-plug752026年10月9日 更新

Expert guide for multi-pass autonomous AI code self-review — syntax validation, logic correctness, architectural conformance, security audit, and performance analysis without external tooling — enabling the agent to catch its own errors before presenting code / Panduan ahli review kode otonom multi-pass oleh AI — validasi sintaks, kebenaran logika, konformitas arsitektur, audit keamanan, dan analisis performa tanpa tooling eksternal — memungkinkan agen menangkap errornya sendiri sebelum menampilkan kode.

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。

roedyrustam/vibes-plug752026年10月9日 更新

roedyrustam のスキルをすべて見る

このスキルの問題を報告する