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    distribution-engineer

    by Roy Yuen

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

    Updated Apr 2026
    Security scanned
    One-time purchase

    $5

    One-time purchase · Own forever

    ⚡ Also available via Agensi MCP — your AI agent can load this skill on demand via MCP. Learn more →

    Included in download

    • Design professional install and upgrade paths for any AI tool.
    • Prepare local scripts to be marketplace-ready with proper manifests.
    • Includes example output and usage patterns
    • Instant install
    • One-time purchase

    See it in action

    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.

    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.

    📖 Learn more: Best DevOps & Deployment Skills for Claude Code →

    Use Cases

    • Design professional install and upgrade paths for any AI tool.
    • Prepare local scripts to be marketplace-ready with proper manifests.
    • Create verification plans to ensure fresh installs work on clean machines.
    • Select the best distribution channel (npm, binaries, etc.) for your audience.
    • Standardize versioning and artifact naming for consistent releases.

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    Security Scanned

    Passed automated security review

    Permissions

    No special permissions declared or detected

    Tags

    devops
    packaging
    ci-cd
    distribution
    cli-tools
    software-delivery

    Creator

    Roy Yuen

    Frequently Asked Questions

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