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    agent-cli-builder

    by Roy Yuen

    Architect, scaffold, and debug production-ready AI agent CLI applications with structured boundaries and packaging.

    Updated Apr 2026
    Security scanned
    One-time purchase

    $5

    One-time purchase · Own forever

    Included in download

    • Architect robust CLI tools with integrated AI agent workflows
    • Scaffold production-ready boilerplate for new agentic applications
    • Includes example output and usage patterns
    • Instant install
    • One-time purchase

    See it in action

    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

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    Security Scanned

    Passed automated security review

    Permissions

    No special permissions declared or detected

    Tags

    cli-dev
    agent-orchestration
    scaffolding
    software-architecture
    automation

    Creator

    Roy Yuen

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