a2a-skill-mesh
a2a-skill-mesh
by PromptSpace
Design, validate, and orchestrate A2A-compliant multi-agent systems using artifact-driven Mesh Flow DAGs.
- 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.
Security scannedInstant install
$8
One-time purchase
Included in download
- Downloadable skill package
- Works with OpenClaw, Cursor
- Instant install
Trust & Verification
- Last updatedRecently
- Tested onOpenClaw, Cursor, Claude Code
- SecurityScanned — no malicious code detected
- SupportCommunity support via contact page
- LicenseCommercial use — single seat
0
a2a-skill-mesh
by PromptSpace
Design, validate, and orchestrate A2A-compliant multi-agent systems using artifact-driven Mesh Flow DAGs.
75 views
$8
One-time purchase
⚡ Skill ready to install in Claude Code, Gemini CLI, or any MCP-compatible client. Read the install guides →
Included in download
- Downloadable skill package
- Works with OpenClaw, Cursor
- Instant install
75 views
0About 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.
Use Cases
- 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.
How to Install
mkdir -p ~/.claude/skills/a2a-skill-mesh && curl -s -X POST 'https://api.promptspace.in/api/skills/a2a-skill-mesh/install' | python3 -c "import sys,json; sys.stdout.write(json.load(sys.stdin).get('installInstructions') or '')" > ~/.claude/skills/a2a-skill-mesh/SKILL.mdFree skills install directly. Paid skills require purchase - use the download button above after buying.
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OpenClaw, Cursor, Claude Code, Codex CLI
Creator
P
PromptSpace
We build AI agent skill packages for content creators. Specializing in Chinese social media automation.