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    A2a Skill Mesh

    by Roy Yuen

    3

    Design, validate, and orchestrate A2A-compliant multi-agent systems using artifact-driven Mesh Flow DAGs.

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    See it in action

    You say

    Validate my project.yaml for a multi-agent system with a RouterAgent, CodeAnalyst, and SecurityReviewer, then compile the execution plan and check security boundaries.

    Your agent does

    Validation Success: project.yaml DAG Compiled to references/execution-plan.json Generated Agent Cards: [RouterAgent, CodeAnalyst, SecurityReviewer] Handoff Contract: SecurityReviewer produces artifact 'risk_assessment' consumed by RouterAgent. Security Boundary: HMAC verification required.

    What you get

    Convert prompt chains into structured, artifact-driven Mesh Flow DAGs.Generate Agent Cards for discovery in multi-agent environments.Validate task lifecycle contracts and security boundaries between agents.Package verified agent-to-agent skill meshes for production release.Visualize complex agent collaboration topologies using Mermaid DAGs.

    About this skill

    Design and Orchestrate Multi-Agent Mesh Systems

    The A2A Skill Mesh provides a rigorous framework for architecting complex, multi-agent systems using Google A2A concepts and Mesh Flow's artifact-driven DAG orchestration. It moves beyond simple prompt chaining into a world of structured agent interoperability, task lifecycles, and security boundaries.

    What it does

    As an architect-level skill, it designs agent groups that can discover each other through Agent Cards and coordinate work via explicit task contracts. It handles the heavy lifting of defining trust boundaries, modality negotiation, and content-type verification between specialized agents.

    • Artifact-Driven DAGs: Models workflows by data production rather than just persona descriptions.
    • Agent Cards: Generates testable capability models for discovery and routing.
    • Task Lifecycle Contracts: Defines how agents handle state, messages, and artifacts.
    • Security Modeling: establishes hard gates for auth, authorization, and authority.

    Why use this skill

    Manual orchestration of multiple agents often leads to "hallucination loops" or broken handoffs. This skill provides a compile-then-run discipline, allowing you to validate and visualize agent interactions before execution. It ensures that every agent handoff is governed by a strict protocol contract, making your agentic workflows predictable, debuggable, and enterprise-ready.

    Supported Workflows

    The skill integrates with standard development environments (Node/NPM) and supports the generation of project manifests (project.yaml), execution plans, and Mermaid-based DAG visualizations for better observability.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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