Distribution Engineer

    2

    Automate the packaging, versioning, and distribution strategy for AI agents, CLIs, and marketplace skills.

    $5

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    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    distribution-engineer

    Example session with this skill installed

    I just finished the WeatherBot MCP server. Can you help me package it for npm and GitHub, define the install UX, and create a rollback plan?

    • Read your context and instructions
    • Compiled the distribution-engineer

    Deliverable: 'WeatherBot' MCP Server
    Channels: npm, GitHub Releases
    Artifact: weather-bot-v1.2.0.tgz
    Install UX: 'npm install -g @tools/weather-bot'
    Verification: Fresh install check [PASS], Config init [PASS]
    Rollback: 'npm install -g @tools/weather-bot@1.1.9' to restore previous state.

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

    About this skill

    Turning Projects into Products

    The Distribution Engineer skill bridge the gap between "it works on my machine" and a production-grade release. It treats distribution as an engineering discipline, ensuring your AI agents, CLIs, libraries, or tools are packaged, versioned, and delivered through the right channels with zero friction for the end user.

    What it does

    This skill automates the complex decision-making and mechanical tasks involved in releasing software. High-level capabilities include:

    • Channel Strategy: Selecting the optimal distribution method (npm, pipx, standalone binaries, or containers) based on your target audience.
    • Artifact Engineering: Defining the release contract, including versioning logic, install paths, and configuration boundaries.
    • Quality Assurance: Designing verification plans for fresh installs, upgrades, and smoke tests to ensure a "clean path" experience.
    • Marketplace Readiness: Preparing manifests, release notes, and metadata required to list skills or tools in AI marketplaces.

    Why use this skill?

    Prompting an AI to "help me release this" often results in generic advice. This skill follows a rigorous engineering workflow—separating build, package, and publish stages—while maintaining a strict debug standard for installation failures and PATH issues. It ensures your deliverables are professional, upgradeable, and reliable.

    Output

    You receive a comprehensive Distribution Plan covering the Artifact Contract, Install UX (including specific CLI commands), Verification Results from clean-path testing, and Rollback Notes.

    • Does not handle binary code signing or notarization.
    • Requires pre-configured registry credentials.
    • No built-in CI/CD runner execution.

    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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    Trust & safety

    Security scan

    Security scan passed 6 months ago

    Requires

    macOS

    Permissions

    No special permissions declared or detected

    Listed6 months ago

    What's inside

    Frequently Asked Questions

    This skill automates the transition from local code to a production-ready release by handling complex tasks like versioning logic, artifact packaging, and multi-channel distribution strategies.

    The skill is designed to package AI agents, CLI tools, libraries, and marketplace skills regardless of their underlying language, ensuring they meet the specific requirements of platforms like npm, PyPI, or custom marketplaces.

    You will receive a comprehensive Distribution Plan that includes a defined Artifact Contract, detailed Install UX instructions, verification smoke-test results, and a rollback strategy.

    Yes, this skill includes dedicated logic for 'Clean Path' verification, which simulates fresh installs and upgrades to identify and fix PATH environment issues or dependency conflicts before your users find them.

    The Distribution Engineer treats versioning as a core engineering discipline, establishing clear semantic versioning rules and automated release notes to ensure your users have a predictable upgrade experience.

    New in DevOps & Cloud