What is the benefit of the A2A feature?

The Agent-to-Agent (A2A) feature enables your agent to communicate directly with other agents using standardized protocols and Server-Sent Events (SSE) for streaming responses.

Can I use Anthropic Claude as the LLM provider for my agent?

Yes, while the scaffold defaults to OpenAI, this skill provides an optional patch script to automatically configure the project for Anthropic Claude.

Which blockchain networks are supported by the ERC-8004 Agent Creator?

The skill supports multiple EVM chains including Ethereum, Base, Polygon, and Monad (both testnets and mainnets), as well as the Solana Devnet.

Do I need an existing wallet to create an agent?

No, you can provide an existing EVM or Solana address, or leave the field empty to have the CLI automatically generate a new wallet for your agent.

ERC-8004 Agent Creator

Name: ERC-8004 Agent Creator
Author: JustineDevs

byJustineDevs

•

API Development

Scaffolds interoperable AI agents using the ERC-8004 standard for EVM and Solana blockchains.

This skill streamlines the creation and deployment of AI agents compliant with the ERC-8004 and 8004 standards. It guides developers through the create-8004-agent CLI wizard, assisting with chain selection for Ethereum, Base, Polygon, Monad, and Solana, as well as wallet configuration and feature integration. Users can easily implement Agent-to-Agent (A2A) communication, Model Context Protocol (MCP) servers, and x402 payment layers, while also benefiting from guidance on on-chain registration and switching LLM providers from OpenAI to Anthropic Claude.

Key Features

01Support for multiple trust models including reputation and TEE-attestation.

021 GitHub stars

03LLM provider flexibility with optional patching for Anthropic Claude integration.

04Automated on-chain identity registration and IPFS metadata management.

05Integrated templates for Agent-to-Agent (A2A) and Model Context Protocol (MCP) servers.

06Multi-chain scaffolding for EVM (Ethereum, Base, Polygon, Monad) and Solana networks.

Use Cases

01Developing interoperable agent-to-agent communication networks using SSE streaming.

02Creating MCP-enabled agents that act as tool providers for other AI ecosystems.

03Building decentralized autonomous agents with on-chain identity and reputation.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add justinedevs/collection erc8004-agent-creator

For use in Claude.ai and ChatGPT

Download Skill