a2a-dev-patterns

a2a-dev-patterns is a skill for Claude Code from OrcaQubits/agentic-commerce-skills-plugins. It costs 54 tokens per session (1,273 once invoked), scanned A, original, MIT.

A guide to common design and operating patterns for A2A multi-agent systems. A2A is a protocol that lets AI agents communicate and delegate tasks to one another.

In plain words
What is it for?
Use it when designing coordinator-based or peer-to-peer agent systems, and when adding idempotency, observability, agent registries, versioning, or deployment practices.
Why use it?
It helps teams make decisions about coordination, reliability, monitoring, discovery, version changes, and production deployment as the number of agents grows.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the a2a-multi-agent plugin — 16 skills, 1 agent, 1 hook shipped together

Good fit Use it when designing coordinator-based or peer-to-peer agent systems, and when adding idempotency, observability, agent registries, versioning, or deployment practices.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/orcaqubits/agentic-commerce-skills-plugins/a2a-dev-patterns
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add OrcaQubits/agentic-commerce-skills-plugins --skill a2a-dev-patterns
Clone the repo
git clone --depth 1 https://github.com/OrcaQubits/agentic-commerce-skills-plugins

Made for: Claude Code.

Or install a2a-multi-agent, the plugin that ships this one along with the rest of its 16 skills, 1 agent, 1 hook.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for a2a-dev-patterns

README.md
[![agentmods](https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-dev-patterns/github.svg)](https://agentmods.dev/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-dev-patterns)
Your own site
<a href="https://agentmods.dev/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-dev-patterns"><img src="https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-dev-patterns/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for a2a-dev-patterns

Your own site · 80×15
<a href="https://agentmods.dev/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-dev-patterns"><img src="https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-dev-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,273 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.01273
Opus 5.5 $0.00022 $0.00509
Sonnet 5.5 $0.00011 $0.00255
Haiku 4.5 $0.00005 $0.00127

Measured 1mo ago against content hash 5a9c06a89061, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

a2a-dev-patterns scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

a2a-multi-agent/skills/a2a-dev-patterns/SKILL.md · 148 lines

How it starts

The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

A2A Development Patterns

Before writing code

Fetch live docs:

  1. Fetch https://a2a-protocol.org/latest/specification/ for the latest protocol details
  2. Web-search a2a protocol best practices multi-agent architecture for community patterns
  3. Web-search site:github.com a2aproject A2A samples patterns for reference architectures
  4. Web-search multi-agent system design patterns for general multi-agent architecture guidance

Conceptual Architecture

Orchestration Topologies

Hub-and-Spoke (Orchestrator)

A central coordinator agent delegates subtasks to specialist agents:

                    ┌→ Research Agent
Coordinator Agent ──┼→ Analysis Agent
                    └→ Writing Agent
  • Pros: Centralized control, clear task routing, easy to monitor
  • Cons: Single point of failure, coordinator bottleneck
  • Use when: Well-defined subtask decomposition, need for aggregation
Peer-to-Peer (Mesh)

Agents discover and communicate directly with each other:

Agent A ←→ Agent B
  ↕           ↕
Agent C ←→ Agent D
  • Pros: No single point of failure, flexible
  • Cons: Complex routing, harder to monitor, potential loops
  • Use when: Agents are loosely coupled, dynamic discovery needed
Pipeline (Chain)

Tasks flow through a sequence of agents:

Input → Agent A → Agent B → Agent C → Output
  • Pros: Simple flow, easy to reason about, composable
  • Cons: Sequential latency, failure in one stage blocks all
  • Use when: Clear transformation stages, ETL-like workflows
Hierarchical (Tree)

Manager agents delegate to team agents, which may further delegate:

CEO Agent
├── Marketing Manager Agent
│   ├── Content Agent
│   └── SEO Agent
└── Engineering Manager Agent
    ├── Frontend Agent
    └── Backend Agent
  • Pros: Natural decomposition, scoped authority, scalable
  • Cons: Deep hierarchies add latency, complex coordination
  • Use when: Large organizations of agents, domain separation

Read the full file on GitHub · 148 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 148 lines · 54 tokens per session scan A 5a9c06a89061

Subscribe to this mod's changes

a2a-dev-patterns is a skill published in the GitHub repository OrcaQubits/agentic-commerce-skills-plugins (39 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 1,273 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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