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    Multi-Agent Orchestration Architect

    1

    Architect production-grade multi-agent systems with explicit contracts, idempotency, and self-healing reliability.

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    Multi-Agent Orchestration Architect

    Multi-Agent Orchestration Architect

    Example session with this skill installed

    Design a system where one agent triages GitHub issues, another writes the fix, and a third reviews it. It needs to handle 50 issues at once without hitting rate limits or double-fixing issues.

    • Read your context and instructions
    • Compiled the multi-agent orchestration architect

    Orchestration Plan

    1. Decompose: Triager, Implementer, Reviewer agents.
    2. Handoffs: JSON contracts (issue_id, diff, criteria).
    3. Idempotency: Task key issue_id+stage; atomic PR creation via GitHub idempotency keys.
    4. Resilience: shared Token Bucket rate-limiter; 4x retries with jitter.
    5. Isolation: 30m lease timeouts; poison-task quarantine.
    6. Human Gate: Approval required before merge.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Reliable Distributed Intelligence

    Building multi-agent systems often results in classic distributed systems failures: race conditions, rate-limit storms, and "zombie" tasks that hang indefinitely. This skill transforms your AI agent into a senior systems engineer capable of architecting production-grade agentic workflows that don't fall apart under load.

    What it does

    The Orchestration Architect designs the skeleton of your multi-agent fleet. It moves beyond simple "chaining" to create robust orchestration plans featuring:

    • Explicit Handoff Contracts: Rigorous input/output schemas that stop "vibes-based" communication between agents.
    • Atomic Idempotency: Strategies to ensure retries never result in duplicate actions (like opening two PRs or double-charging a user).
    • Resilience Patterns: Built-in exponential backoff, circuit breakers, and dead-letter queues to handle API failures gracefully.
    • Self-Healing: Timeout-based leases and supervisors that detect and requeue stuck work.

    Why use this skill?

    Prompting an AI to "run agents in parallel" usually ignores state management and error handling. This skill enforces a "Design-First" approach, producing a comprehensive Orchestration Plan before a single line of code is written. It ensures your system is observable via correlation IDs and safe via human-in-the-loop escalation gates for irreversible actions.

    Supported Patterns

    Expertly handles both Coordinator (centralized management) and Choreography (event-driven) patterns, right-sizing the infrastructure to your specific task volume and complexity.

    • High overhead for simple, single-agent tasks.
    • Requires external state storage (DB/Redis) for true idempotency.
    • Not a runtime: provides design patterns, not a library.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed4 months ago

    What's inside

    Frequently Asked Questions

    This skill functions as a high-level system architect that designs the underlying logic, safety protocols, and communication contracts for your agent fleet, preventing common deadlocks and state failures.

    The Architect is model-agnostic and works with any agent capable of following structured schemas, including those built on GPT-4, Claude 3.5, and Llama 3 models.

    You will receive a set of structured orchestration modules, standardized handoff templates, and a step-by-step implementation guide for deploying resilient workflows.

    Yes, the skill includes specialized patterns for 'Approval Gates' and 'Circuit Breakers' that pause execution and alert a human supervisor before making irreversible API calls.

    Absolutely, the skill is designed to transition existing 'linear' agent chains into robust, distributed systems that utilize parallel processing and event-driven choreography.

    Updates are delivered via the marketplace dashboard and include new resilience patterns, updated schemas for the latest model capabilities, and optimizations for latency reduction.

    New in Agents & Orchestration