project-genesis

Validate project ideas and generate technical specifications for AI coding agents.

Updated Nov 8, 2025
One-click install
npx skills add https://github.com/berad217/human-training --skill project-genesis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: project-genesis
Source: https://github.com/berad217/human-training/tree/main/skills/project-genesis
Command: npx skills add https://github.com/berad217/human-training --skill project-genesis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

This Skill eliminates wasted effort from unstructured brainstorming, poorly scoped project ideas, and misalignment between a human's vision and an AI coding agent's implementation, ensuring only worthwhile projects move forward and are built correctly the first time.

Core Features & Use Cases

  • Structured Ideation: Guides challenging assumptions, red-teaming ideas, checking for existing solutions, and forcing minimal viable scope to avoid mission creep.
  • Technical Spec Generation: Produces concrete, zero-context-friendly specifications with success criteria, sprint breakdowns, data models, and testing strategies that coding agents can implement without guesswork.
  • Use Case: A hobbyist with a new side app idea can use this Skill to validate if the idea is worth building, then generate a full spec ready for an AI coding agent to implement across 2-3 hour sprints.

Quick Start

Use the project-genesis skill to brainstorm your new side project idea, validate if it is worth building, and generate a complete technical specification if you decide to move forward.

Frequently Asked Questions about project-genesis

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

FAQPage Schema
How do I write a technical specification for an AI coding agent?

Generating a technical specification for an AI coding agent requires zero-context-friendly documentation with concrete success criteria, sprint breakdowns, and data models. This Skill produces these detailed specifications from raw project ideas to eliminate agent implementation guesswork.

What is the best way to validate a side project idea before coding?

Validating a side project idea involves challenging assumptions, red-teaming concepts, and checking existing solutions to force minimal viable scope. This Skill provides structured ideation guidance and scope forcing techniques to ensure only worthwhile projects move forward.

How do I plan sprints for a hobby project using a coding agent?

Planning sprints for a hobby project involves breaking technical specifications into manageable 2-3 hour implementation blocks for coding agents. This Skill creates sprint breakdowns and testing standards as part of the generated project specification.

Can I use this for scoping complex software projects, or is it limited to hobby projects?

This Skill applies primarily to independent developer and hobbyist workflows for validating new project ideas and translating concepts into implementable technical specifications. It focuses on preventing mission creep and wasted effort on poorly scoped software projects.

Why do my AI coding agents struggle to implement my project ideas correctly?

AI coding agents struggle due to misalignment between human vision and agent implementation, often caused by unstructured project ideation. This Skill solves the problem by translating conceptual concepts into zero-context-friendly technical specifications.