How to Migrate PostgreSQL to MySQL Using VillageSQL Skills (2026)

The Problem VillageSQL Skills Solves

Modern AI coding assistants are powerful, but they often struggle with the specialized domain knowledge required for complex database migrations. Developers attempting to port PostgreSQL extensions to MySQL frequently find themselves manually writing repetitive boilerplate or correcting hallucinations caused by outdated, hardcoded API knowledge in their AI agents. This process is time-consuming, error-prone, and requires constant context switching between documentation and the code editor.

Database administrators and software engineers are the primary users who suffer from this friction, especially when managing legacy migrations that demand strict adherence to underlying SDK specifications. Before this tool, developers had to rely on generalized AI prompts that often missed the nuances of extension-specific architecture.

VillageSQL Skills resolves this by providing a unified, agent-compatible framework that forces the AI to discover live SDK APIs rather than guessing. It enables developers to plug in a standardized 7-phase extension builder directly into their preferred workflow. In this tutorial, you'll learn exactly how to use VillageSQL Skills — step by step.

How to Get Started with VillageSQL Skills in 5 Minutes

1. Clone the Repository: Run git clone https://github.com/villagesql/villagesql-skills.git ~/code/villagesql-skills in your terminal to bring the source files to your local machine.
2. Identify Your Agent: Determine which coding assistant you use, such as Claude Code, Gemini CLI, or Cursor, to prepare the correct directory path.
3. Create the Configuration Path: Use the mkdir -p command relevant to your specific tool, such as ~/.claude/skills for Claude Code users.
4. Symlink the Skills: Use the ln -s command to create a symbolic link between your cloned repository and your AI agent's extension directory.
5. Verify the Installation: Launch your AI assistant and test the activation command (typically / in Claude Code) to ensure the vsql-extension-builder appears in your active list.

How to Use VillageSQL Skills: Complete Tutorial

Step 1: Implementing the vsql-extension-builder

The core of VillageSQL Skills is the vsql-extension-builder, a modular component that follows a 7-phase, persona-driven workflow. To start, navigate to the skills directory within your local clone and ensure it is symlinked correctly to your AI agent. By default, the skill remains "thin" at the entry point, meaning it waits for you to trigger a specific phase before loading complex logic.

Once active, you can invoke the builder by selecting the command within your AI agent's slash-menu. The agent will then guide you through the initial analysis of your PostgreSQL extension, preparing it for the transformation phase into a MySQL-compatible format.

Step 2: Leveraging Dynamic SDK Discovery

Unlike traditional AI plugins that rely on hardcoded API names which become obsolete as SDKs evolve, VillageSQL Skills uses live header discovery. When the agent begins a migration task, it scans your local environment to identify the specific API signatures currently present in your SDK.

This prevents the common issue of the AI suggesting functions that have been deprecated or modified in newer versions of the database drivers. By letting the agent "read" the truth from your environment, you ensure that the generated code is immediately compatible with your local build process.

Step 3: Maintaining Custom Skills and Contributions

As you become comfortable with the vsql-extension-builder, you may want to add your own skills. Every skill follows a strict directory layout: a SKILL.md file for procedures and a references/ folder for detailed, context-heavy documentation.

To keep the agent performant, always write your high-level instructions in SKILL.md and delegate technical specifications, checklists, or environment-specific commands to the references/ subdirectory. This ensures the AI remains responsive while still having access to the deep domain data it needs when a specific migration phase requires it.

VillageSQL Skills: Pros & Cons

Pros	Cons
Open-source and highly extensible architecture.	Requires manual terminal configuration for some agents.
Integrates with multiple major AI coding agents.	Steep technical barrier for non-developers.
Avoids brittle, hardcoded API dependencies.	Limited documentation outside of repo files.
Standardized directory structure for contributions.	Early-stage project with minimal community activity.

VillageSQL Skills Pricing: Free vs Paid

VillageSQL Skills is released under the Apache-2.0 license, making it entirely free to use, modify, and distribute. There are no paid tiers, subscription models, or gated features. The project is maintained as an open-source utility for the developer community, focusing on standardizing how agents interact with database migration tools.

Because the project is open-source, the "cost" is primarily your time in setting up the environment and contributing back if you find bugs or build new skills. It is an ideal tool for organizations that prioritize self-hosted solutions and want to avoid vendor lock-in with proprietary AI agent extensions.

👉 Check the latest pricing on the official VillageSQL Skills website.

Who is VillageSQL Skills Best For?

For Database Administrators: This tool provides a consistent way to handle complex cross-platform migrations without needing to manually audit every line of generated SQL code for compatibility errors.

For Software Engineers: It allows you to automate the tedious parts of extension development, letting you focus on architectural logic while the AI handles the repetitive API mapping and syntax translation.

For Open-Source Contributors: If you enjoy building tools for the AI agent ecosystem, the standardized directory and skill-layout conventions provide a clear path to contribute meaningful, reusable logic to a growing project.

Alternatives to VillageSQL Skills

General-purpose alternatives include writing custom system prompts for your AI agent, using standard GitHub Copilot chat rules, or utilizing specialized database migration scripts written in Python or Go. While those methods can work, VillageSQL Skills is the better choice because it provides a dedicated, agent-native framework that doesn't require you to re-train the AI or copy-paste prompts repeatedly for every migration task.

Final Verdict: Is VillageSQL Skills Worth It?

VillageSQL Skills is a highly efficient, specialized tool for developers who are tired of fighting with AI hallucinations during database migrations. If you have the technical capacity to configure terminal symlinks and want a consistent, logic-driven approach to AI coding, it is an excellent addition to your workflow.

📋 Disclosure: This is an independent tutorial based on VillageSQL Skills's publicly available documentation and website content as of May 28, 2026. GitNeural is not affiliated with, sponsored by, or endorsed by VillageSQL Skills or github.com. Pricing and features may have changed — always verify on the official VillageSQL Skills website.