build-agent

Guide agent scaffolding, deployment, and tokenization on Agentverse.

1|3|Updated Feb 23, 2026

Search Tags:#templates #deployment #MCP #build #agent #tokenization #agentverse

Ready to run

npx skills add https://github.com/tonyoconnell/agent-launch-toolkit --skill build-agent-tonyoconnell

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: build-agent
Source: https://github.com/tonyoconnell/agent-launch-toolkit/tree/main/.claude/skills/build-agent
Command: npx skills add https://github.com/tonyoconnell/agent-launch-toolkit --skill build-agent-tonyoconnell

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamlines the end-to-end lifecycle of building AI agents, guiding users from requirements gathering through scaffolding, deployment, and tokenization.

Core Features & Use Cases

Guided agent scaffolding from templates (custom, price-monitor, trading-bot, data-analyzer, research, gifter).
End-to-end deployment to Agentverse with optional on-chain tokenization via AgentLaunch.
Market data visibility and post-handoff access through human-friendly links.

Quick Start

Ask the AI to scaffold an agent, deploy it to Agentverse, and tokenize it on AgentLaunch.

Frequently Asked Questions about build-agent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I build and deploy an AI agent from a template to Agentverse?▼

Agent lifecycle management involves guiding users through requirements, scaffolding from templates like trading-bot or data-analyzer, and deploying directly to Agentverse with sensible defaults and safety checks.

What agent templates are available for scaffolding configurable agents?▼

Configurable agent scaffolding supports custom, price-monitor, trading-bot, data-analyzer, research, and gifter templates, applying to individuals or teams building agents across these predefined configurations.

Can I tokenize my AI agent on AgentLaunch after deployment?▼

Tokenization on AgentLaunch is an optional step in the agent lifecycle, allowing users to tokenize deployed agents on-chain after scaffolding and deploying to Agentverse.

How does MCP tool orchestration work for agent deployment and tokenization?▼

MCP tool calls orchestrate scaffolding, deployment, tokenization, and market data retrieval, providing automated end-to-end agent lifecycle management with safety checks and sensible defaults.

Do I need prior coding experience to scaffold and deploy agents end-to-end?▼

End-to-end agent building is guided through requirements gathering, scaffolding, deployment, and tokenization, applying to individuals or teams without requiring manual coding of the lifecycle pipeline.

What happens after my agent is deployed to Agentverse?▼

Post-deployment provides market data visibility and post-handoff access through human-friendly links, ensuring users can monitor and access their deployed and optionally tokenized agents.