Distribution Engineer

Name: Distribution Engineer
Price: 5 USD
Availability: InStock
Author: Agensi

by Roy Yuen

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

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See it in action

You say

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?

Your agent does

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.

What you get

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.

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.