AI Skills Explained: Build a "Caveman" Skill to Slash Token Costs (Live Demo)
ComputeIQ
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AI Skills Explained: Build a "Caveman" Skill to Slash Token Costs (Live Demo)
207 просмотров · 9 дн. назад
ComputeIQ
54 подписчика
207 просмотров · 9 дн. назад
Are you still copy-pasting the same instructions or writing overly polite, bloated prompts into ChatGPT or Claude? It's time to upgrade from basic prompting to building reusable AI Skills.
In this episode of AI Foundations, we break down what an AI Skill actually is from a systems perspective, introduce the "Caveman Prompting" framework to eliminate conversational fluff, and run a complete live demo showing you how to build, test, and deploy a reusable "Caveman Skill" that tightens model focus and cuts input token waste automatically.
What You Will Learn:
• The fundamental difference between a one-off prompt and a reusable AI Skill
• How unnecessary conversational filler dilutes context and runs up API token usage
• How to structure prompts using core primitives: Task, Context, and Constraints
• Practical walkthrough: Writing, configuring, and testing your own custom Caveman Skill
Welcome to ComputeIQ — practical systems engineering and tech breakdowns without the jargon.
Question of the day: What repetitive prompt do you find yourself typing over and over that needs to be turned into a skill? Let me know in the comments below!
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