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aixyz

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.

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Download .skill Standard format with system_prompt and model_config, ready for any agent framework
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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.
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Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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