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A2a Skill Mesh
by Roy Yuen
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
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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