ai-generate

Scan system settings and generate structured configuration profiles and modules.

6|1|Updated Mar 16, 2026

Search Tags:#MCP #AI #system configuration #config management #configuration profiles

Ready to run

npx skills add https://github.com/tj-smith47/cfgd --skill ai-generate

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ai-generate
Source: https://github.com/tj-smith47/cfgd/tree/main/docs
Command: npx skills add https://github.com/tj-smith47/cfgd --skill ai-generate

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, yaml, cfgd, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of setting up your machine's configuration by automatically scanning your system and proposing structured configuration profiles and modules.

Core Features & Use Cases

Automated System Scan: Scans installed packages, dotfiles, shell configurations, and system settings.
AI-Driven Configuration: Utilizes AI to propose a structure for modules and profiles based on the scan results.
Interactive Review: Allows users to review and modify generated configurations before applying them.
Scoped Generation: Option to generate a single module or profile without a full system scan.
MCP Server: Integrates with Model Context Protocol (MCP) servers for AI-driven configuration generation with external AI clients.
Use Case: For users who want to quickly set up their system with a minimal amount of manual configuration, or for system administrators setting up multiple machines with consistent configurations.

Quick Start

To start the AI-guided generation process, run the following command:

cfgd generate

Frequently Asked Questions about ai-generate

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automatically generate configuration profiles for my system?▼

You can automatically generate configuration profiles by running a command that scans your installed packages, dotfiles, and shell configurations, then uses AI to propose structured modules. This process requires Python, YAML, and configuration file management tools to build the profiles.

How does AI-driven configuration generation work with MCP?▼

AI-driven configuration generation works with the Model Context Protocol by integrating with an MCP server, allowing external AI clients to process your system scan results and generate structured configuration modules and profiles based on the detected settings.

Do I need Python and YAML to use AI system configuration generation?▼

Yes, you need Python and YAML to use this AI system configuration generation approach. These dependencies are required alongside configuration file management tools to scan your system, process the results, and apply the generated configuration profiles.

Can I generate a single configuration module without scanning my entire system?▼

Yes, you can generate a single configuration module without a full system scan. The tool supports scoped generation, allowing you to target specific modules or profiles individually rather than analyzing all installed packages and dotfiles at once.

What is the best way to set up consistent configurations across multiple machines?▼

The best way to set up consistent configurations across multiple machines is to use an automated system scan that generates structured configuration profiles. Administrators can review, modify, and apply these AI-generated profiles to ensure uniform settings across all devices.

Can I review and modify generated configuration profiles before applying them?▼

Yes, you can review and modify generated configuration profiles before applying them. The interactive review process allows you to inspect the AI-proposed structure for modules and profiles and make necessary adjustments to the system configurations.