{
    "name": "aixyz",
    "version": "1.0.0",
    "description": "Build, run, and deploy an AI agent using the aixyz framework. Use this skill when creating a new agent, adding tools, wiring up A2A/MCP protocols, configuring x402 micropayments, or deploying to Vercel.",
    "system_prompt": "name aixyz description Build, run, and deploy an AI agent using the aixyz framework. Use this skill when creating a new agent, adding tools, wiring up A2A/MCP protocols, configuring x402 micropayments, or deploying to Vercel. license MIT metadata {\"framework\":\"aixyz\",\"runtime\":\"bun\"} Working with aixyz Where to Find the Latest Information The project evolves quickly. Always consult these sources for up-to-date details: Docs site: aixyz.sh — Getting Started guides, API reference, protocol docs, and templates GitHub: github.com/AgentlyHQ/aixyz — source, issues, and examples CLI help: every command has --help — run it to discover the current flags Immutable Facts These things will not change: Runtime is always Bun — install with bun , run with bun , test with bun test Agent logic uses the Vercel AI SDK ( ai package) — ToolLoopAgent , tool() , stepCountIs() from \"ai\" — check ai-sdk.dev for the current version LLM providers use @ai-sdk/* adapters — @ai-sdk/openai is the default but any Vercel AI SDK provider works ( @ai-sdk/anthropic , @ai-sdk/google , @ai-sdk/amazon-bedrock , etc.) MUST use create-aixyz-app to scaffold new agents — see below aixyz CLI is always available — aixyz dev for the dev/test loop, aixyz build for building Environment variables follow Next.js load order — .env , .env.local (don't commit), .env.<NODE_ENV> , .env.<NODE_ENV>.local Getting Started CRITICAL: You MUST use create-aixyz-app to create new agent projects. Do NOT manually create aixyz.config.ts , package.json , app/agent.ts , or any other project files by hand. Manually creating these files WILL result in broken builds, missing dependencies, and incorrect configurations. Always scaffold with bunx create-aixyz-app first, then modify the generated files. # See all scaffolding options (TTY is disabled in AI/CI — every prompt has a flag) bunx create-aixyz-app -- help # Scaffold with defaults bunx create-aixyz-app my-agent -- yes # Dev/test loop cd my-agent && bun run dev # aixyz dev — hot reload at http://localhost:3000 # Build for deployment bun run build # aixyz build Core Concepts Project layout Bare minimum to get started: my-agent/ aixyz.config.ts # Agent identity, payment config, skills declaration app/ agent.ts # Root agent (ToolLoopAgent from \"ai\") — required tools/name.ts # Tools (optional) — each file auto-registered; not exported directly agents/name.ts # Sub-agents (optional) — each file → /name/agent endpoint package.json .env.local # API keys — never commit Full layout with optional files: my-agent/ aixyz.config.ts app/ agent.ts agents/ # Sub-agents tools/ # Tools; _prefix files are ignored server.ts # Custom server (overrides auto-generation) accepts.ts # Custom x402 facilitator erc-8004.ts # On-chain ERC-8004 identity icon.png # Agent icon package.json vercel.json .env.local Getting paid (x402) Export accepts from app/agent.ts (gates /agent ) or from a tool file (gates it on /mcp ): import type { Accepts } from \"aixyz/accepts\" ; export const accepts : Accepts = { scheme : \"exact\" , price : \"$0.005\" }; No accepts export → endpoint is not exposed. scheme: \"free\" → explicitly free. See aixyz.sh/getting-started/payments for full details. A2A capabilities Export capabilities from app/agent.ts to configure the A2A agent card and executor behavior: import type { Capabilities } from \"aixyz/app/plugins/a2a\" ; export const capabilities : Capabilities = { streaming : false , pushNotifications : false }; Defaults to { streaming: true, pushNotifications: false } . When streaming: false , the executor uses generate() instead of stream() . On-chain identity (ERC-8004) Register your agent on-chain with: aixyz erc-8004 register -- help # see all non-TTY flags aixyz erc-8004 register --url https://my-agent.vercel.app --broadcast See aixyz.sh/protocols/erc-8004 for full details. Testing (optional) Tests are optional but recommended for advanced users. Tests use Bun's built-in runner ( bun:test ). Write deterministic tests (no API calls) and use test.skipIf(!process.env.OPENAI_API_KEY) for non-deterministic ones. Use fake() from \"aixyz/model\" for fully offline CI-safe tests. bun test # run all tests bun test app/agent.test.ts # run a specific file See aixyz.sh/getting-started/testing for full details. Protocol Endpoints Every deployed agent exposes these endpoints automatically: Endpoint Protocol Description /.well-known/agent-card.json A2A Agent discovery card /agent A2A JSON-RPC endpoint with x402 payment gate /mcp MCP Tool sharing with MCP clients Examples The examples/ directory in github.com/AgentlyHQ/aixyz contains working agents for common patterns. When in doubt, find an example that matches what you need. If you have GitHub access, clone the repo and explore examples/ directly: gh repo clone AgentlyHQ/aixyz ls aixyz/examples/ Each example has an aixyz.config.ts , app/agent.ts , and app/tools/ you can learn from. The Templates tab on aixyz.sh documents each example. Repo Structure (for exploration) If you clone the repo, the key areas are: packages/ aixyz/ # Framework core (server, adapters, x402) aixyz-cli/ # CLI: dev, build, erc-8004 commands aixyz-config/ # Config loading (Zod-validated aixyz.config.ts) aixyz-erc-8004/ # ERC-8004 ABIs, addresses, schemas create-aixyz-app/ # Scaffolding CLI docs/ # Mintlify docs examples/ # Working agent examples Use --help on any CLI command, read the docs at aixyz.sh , or browse examples in github.com/AgentlyHQ/aixyz/tree/main/examples for the most current information.",
    "model_config": {
        "provider": "deepseek",
        "model": "deepseek-chat",
        "temperature": 0.7,
        "max_tokens": 4096,
        "top_p": 0.9
    },
    "trigger_words": [],
    "source": "DeepseekModel",
    "source_url": "https://deepseekmodel.com/skill?id=agentlyhq-aixyz-skills-aixyz-skill-md"
}