System Documentation

What problem does it solve?

It helps you stop relying on one-off LLM outputs by turning prompts into durable, self-hostable infrastructure plans (and optionally a scaffolded repo) that you can run and maintain without ongoing AI usage.

Core Features & Use Cases

  • AI-to-infrastructure transformation: identifies when your prompt is actually asking for a tool, engine, editor, or rules/data layer—then abstracts upward to the real target.
  • Run-ready deliverables: produces an architecture overview with Mermaid diagrams, a phased roadmap with explicit “AI dependency over time,” and copy-paste handoff packets.
  • Optional build-and-prove: can scaffold a minimal repository as a proof-of-plan, demonstrating the infrastructure can answer the original prompt.

Quick Start

Use the without-ai skill by telling it: "Build this without an LLM: make me a clone of Magic: The Gathering that runs on my laptop."

Dependency Matrix

Required Modules

None required

Components

referencesassets

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: without-ai
Download link: https://github.com/bjamba/bjamba-skills/archive/main.zip#without-ai

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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