Agent Cli Builder
by Roy Yuen
Architect, scaffold, and debug production-ready AI agent CLI applications with structured boundaries and packaging.
- Architect robust CLI tools with integrated AI agent workflows
- Scaffold production-ready boilerplate for new agentic applications
- Define explicit tool boundaries and structured output contracts
$5
· or 25 creditsSecure checkout via Stripe
Included in download
- Architect robust CLI tools with integrated AI agent workflows
- Scaffold production-ready boilerplate for new agentic applications
- Ready for Claude Code
- Includes example output and usage patterns
See it in action
You say
Plan a Python CLI tool for auditing codebase security. I need a scaffold command, a ReAct agent using GPT-4o for analysis, and automated PyPI publishing.
Your agent does
Architecture Plan:
- UI: Click-based CLI with 'scaffold' and 'analyze' commands.
- Agent: ReAct pattern using GPT-4o with structured JSON tool outputs.
- Packaging: UV/Poetry with GitHub Actions for automated PyPI releases.
- Status: Ready to scaffold project root.
Agent Cli Builder
by Roy Yuen
Architect, scaffold, and debug production-ready AI agent CLI applications with structured boundaries and packaging.
$5
· or 25 creditsSecure checkout via Stripe
Included in download
- Architect robust CLI tools with integrated AI agent workflows
- Scaffold production-ready boilerplate for new agentic applications
- Ready for Claude Code
- Includes example output and usage patterns
- Instant install
See it in action
You say
Plan a Python CLI tool for auditing codebase security. I need a scaffold command, a ReAct agent using GPT-4o for analysis, and automated PyPI publishing.
Your agent does
Architecture Plan:
- UI: Click-based CLI with 'scaffold' and 'analyze' commands.
- Agent: ReAct pattern using GPT-4o with structured JSON tool outputs.
- Packaging: UV/Poetry with GitHub Actions for automated PyPI releases.
- Status: Ready to scaffold project root.
About This Skill
What it does
The Agent CLI Builder is a professional-grade framework for designing, scaffolding, and debugging command-line applications powered by AI agents. It bridges the gap between raw LLM capabilities and production-ready software by enforcing clear boundaries between the CLI shell, agent orchestration, and tool execution layers.
Why use this skill
Building a reliable CLI agent is harder than it looks. You have to manage tool calling, handle state across commands, ensure clean exit codes, and package the app for distribution. This skill automates the architectural heavy lifting. Instead of just "coding an agent," it follows a structured workflow that prioritizes deterministic logic, explicit command surfaces, and robust error handling.
Supported tools & frameworks
- LangChain, CrewAI, and custom orchestration logic.
- Python (Poetry/UV), Node (npm/pnpm), and Go packaging standards.
- Structured output (JSON Schema) for machine-readable agent results.
- Integration-ready patterns for tools like Claude Code, Cursor, and custom MCP servers.
The Result
You receive more than just code; you get a complete build spec or scaffold that includes command hierarchies, flag definitions, prompt strategies, and packaging checklists—ready to be published as a standalone tool or a marketplace skill.
Use Cases
- Architect robust CLI tools with integrated AI agent workflows
- Scaffold production-ready boilerplate for new agentic applications
- Define explicit tool boundaries and structured output contracts
- Debug agent state transitions and CLI exit code logic
- Prepare agentic skills for marketplace distribution and packaging
Known Limitations
- Focuses on architectural scaffolding over final business logic implementation.
- Requires pre-configured LLM API keys for runtime testing.
How to install
Drop the file into your AI tool. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Security Scanned
Passed automated security review
Permissions
No special permissions declared or detected
Claude Code, Cursor, MCP-compatible agents, and custom Python/Node environments.
Frequently Asked Questions
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