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    A2a Skill Mesh

    3

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

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    a2a-skill-mesh

    a2a-skill-mesh

    Example session with this skill installed

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

    • Read your context and instructions
    • Compiled the a2a--mesh

    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.

    project.yaml

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

    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.

    • Requires local Node/NPM for plan execution.
    • Complex security handoffs need external HMAC keys.
    • Does not support non-A2A legacy prompt chains.

    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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    Trust & safety

    Security scan

    Security scan passed 6 months ago

    Requires

    tsx
    Node.js

    Permissions

    Terminal / Shell
    Listed6 months ago

    What's inside

    Frequently Asked Questions

    This skill automates the creation of A2A-compliant multi-agent architectures using Mesh Flow DAGs, solving the problem of unpredictable handoffs and "hallucination loops" common in unstructured agent chaining.

    The skill is designed to work within Node/NPM environments and generates standard project.yaml manifests, making it compatible with any agents that follow the Google A2A protocol and structured task contracts.

    You receive the core A2A orchestration logic, templates for Agent Cards and Task Lifecycle Contracts, and tools to generate Mermaid-based DAG visualizations for workflow transparency.

    No, this skill introduces a "compile-then-run" discipline where you validate agent capabilities and trust boundaries through artifact production modeling before any execution begins.

    It establishes strict security modeling, defining hard gates for authentication, authorization, and authority to ensure agents only access relevant data within their designated trust boundaries.

    New in Agents & Orchestration