genesis-architect

Scan GitHub Issues for common pitfalls and generate a codebase with built-in mitigations.

47|7|Updated May 7, 2026
One-click install
npx skills add https://github.com/maioio/genesis-architect --skill genesis-architect
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: genesis-architect
Source: https://github.com/maioio/genesis-architect/tree/main
Command: npx skills add https://github.com/maioio/genesis-architect --skill genesis-architect

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, github3.py, python, python-pygments, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Genesis Architect avoids common mistakes and bugs by scanning GitHub Issues of similar projects before writing code, providing a scaffold with mitigations already built in.

Core Features & Use Cases

  • GitHub Issue Research: Scans GitHub Issues from similar projects to find common pitfalls, bugs, and design decisions.
  • Scaffold Generation: Generates a codebase with built-in mitigations for the identified issues.
  • Interactive Mode: Offers interactive prompts for architectural decisions and research insights.
  • Companion Mode: Provides ongoing assistance, suggesting improvements and best practices throughout the project lifecycle.

Quick Start

Run the command genesis init "a Python CLI for log analysis" to start the scaffold generation process for a Python CLI project focused on log analysis.

Frequently Asked Questions about genesis-architect

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

FAQPage Schema
How do I scaffold a project that avoids common GitHub issues from similar codebases?

Scaffolding a project that avoids common GitHub issues requires scanning similar repositories for pitfalls to generate a codebase with built-in mitigations. The tool researches existing bugs and architectural decisions before writing code to prevent repeating common mistakes.

What is the process for scanning GitHub issues to prevent architectural mistakes?

The process for scanning GitHub issues to prevent architectural mistakes involves analyzing similar projects for common pitfalls and bugs. The tool uses GitHub API access to extract research evidence on design decisions and automatically applies mitigations during code generation.

Do I need GitHub API access and Python to generate a codebase with built-in mitigations?

You need GitHub API access for issue scanning and Python for code generation to produce a structured codebase with mitigations. The tool relies on these dependencies to research similar projects and output the final scaffold.

Can I use interactive prompts for architectural decisions when generating a Python CLI scaffold?

You can use interactive prompts for architectural decisions when generating a Python CLI scaffold. The tool offers an interactive mode that provides research insights and prompts you for design choices during the codebase generation process.

What is the best way to initialize a Python CLI project for log analysis using issue scanning?

To initialize a Python CLI project for log analysis using issue scanning, run the command `genesis init "a Python CLI for log analysis"`. This starts the scaffold generation process with built-in mitigations for common pitfalls.

Does the generated scaffold provide ongoing assistance for best practices throughout the project lifecycle?

The generated scaffold provides ongoing assistance for best practices throughout the project lifecycle through a companion mode. This feature offers continuous support, suggesting improvements and architectural adjustments based on the initial GitHub issue research evidence.