Agent Cli Builder

    2

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

    $5

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    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    agent-cli-builder

    Example session with this skill installed

    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.

    • Read your context and instructions
    • Compiled the agent-cli-builder

    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.

    Connects securely to your tools. The creator never sees your data.

    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.

    • Focuses on architectural scaffolding over final business logic implementation.
    • Requires pre-configured LLM API keys for runtime testing.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    1 use

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    Trust & safety

    Security scan

    Security scan passed 7 months ago

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    Listed7 months ago

    What's inside

    Frequently Asked Questions

    This skill provides the architectural framework and scaffolding needed to transform a raw AI agent into a professional, distributable command-line tool, handling complex tasks like state management, command hierarchies, and exit code logic.

    The skill supports major orchestration frameworks including LangChain and CrewAI, and it is compatible with Python (Poetry/UV), Node.js, and Go packaging standards for maximum flexibility.

    You receive a comprehensive build specification and code scaffold that includes pre-defined command flags, structured JSON output schemas, prompt strategies, and a distribution-ready packaging checklist.

    Yes, the generated structures are designed using industry-standard patterns, making them fully compatible with Model Context Protocol (MCP) servers, Claude Code, and Cursor environments.

    While the skill provides the architecture and 'bones' of the application, you will need to provide your own API keys for the specific LLM providers (like OpenAI or Anthropic) used by your agent.

    New in Agents & Orchestration