Design AI-trending-to-zero infrastructure plans with architecture diagrams and phased roadmaps.
npx skills add https://github.com/bjamba/bjamba-skills --skill without-ai
Please help me install this Agent Skill. Skill: without-ai Source: https://github.com/bjamba/bjamba-skills/tree/main/without-ai Command: npx skills add https://github.com/bjamba/bjamba-skills --skill without-ai
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.
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."
High-intent search queries and answers about installing and using this skill.
You can transition from repeated LLM outputs to durable infrastructure by generating architecture diagrams, phased roadmaps, and handoff packets that shift logic to self-hosted systems and rules engines.
AI dependency minimization for stateful workflows involves designing rule-driven adjudication layers and owned artifacts that process repeated tasks locally, eliminating the need for continuous token-based generation.
Yes, you can scaffold a minimal repository as a proof-of-plan for custom editors, demonstrating that the generated infrastructure can answer your original prompt independently without ongoing AI usage.
You should use a rules engine instead of an LLM when your prompt requires repeated asset generation, stateful workflows, or rule-driven adjudication, shifting from one-off token answers to durable owned artifacts.
You create architecture diagrams by generating Mermaid-based overviews that map the transition from initial AI-assisted processing to a steady-state, self-hosted system with near-zero AI dependency.
Yes, this approach works for complex games by abstracting the prompt upward to design a custom rules engine and infrastructure plan, enabling the game to run locally on your machine without AI.
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mcouthon...
