Run Program

This episode breaks down Claude Skills — the technology that transforms a standard AI chatbot into a self-managing, autonomous workforce.

Tank and Link open with the "amnesiac intern" problem — why copy-pasting the same prompts every day is killing productivity — and explain how Skills solve it permanently.

What they cover:

What a Skill actually is. Not a long prompt — a full folder structure containing instruction files, Python scripts, brand templates, and data files. The AI gets tools, not just text.

Progressive context loading. How Claude manages hundreds of skills without burning through tokens — scanning a "menu" of tiny summaries first, then only loading what's needed for the task.

Three ways to trigger skills. Plain language, explicit name-drop, or a direct slash command. Plus the safety switch that prevents high-stakes skills (like deploying code) from ever running autonomously.

Parallel execution. How one person can fire off four different AI agents simultaneously — calendar planning, project review, diagram generation, audience analysis — all running in the background while they focus on creative work.

Anti-AI-slop design. Anthropic's official front-end design skill that explicitly bans purple gradients, Arial fonts, and generic rounded corners — and how to prompt for actual taste.

The Figma MCP. How Claude plugs directly into Figma files to read raw design data and generate pixel-perfect code, not guesswork from screenshots.

Real business use cases. A multimillion-dollar agency using skills to automate their entire sales pipeline — LinkedIn lead scraping, personalised follow-up emails, and campaign cloning — all from a single slash command.

The gotchas section. Why the most important part of any skill is a list of known mistakes the AI makes, not just instructions on what to do.

Skills 2.0 and the auto-research loop. Skills that test themselves, grade their own output against a rubric, rewrite their own instructions, and iterate overnight until they hit near-perfect performance.

The closing thought: What happens when you build a skill whose job is to observe your habits and invent new skills you haven't thought of yet?