skill-judgelisted

# Skill Judge Evaluate Agent Skills against official specifications and patterns derived from 17+ official examples. --- ## Core Philosophy ### What is a Skill? A Skill is NOT a tutorial. A Skill is a **knowledge externalization mechanism**. Traditional AI knowledge is locked in model parameters. To teach new capabilities: ``` Traditional: Collect data → GPU cluster → Train → Deploy new version Cost: $10,000 - $1,000,000+ Timeline: Weeks to months ``` Skills change this: ``` Skill: Edit SKILL.md → Save → Takes effect on next invocation Cost: $0 Timeline: Instant ``` This is the paradigm shift from "training AI" to "educating AI" — like a hot-swappable LoRA adapter that requires no training. You edit a Markdown file in natural language, and the model's behavior changes. ### The Core Formula > **Good Skill = Expert-only Knowledge − What Claude Already Knows** A Skill's value is measured by its **knowledge delta** — the gap between what it provides and what the model already knows. - **Expert-only knowledge**: Decision trees, trade-offs, edge cases, anti-patterns, domain-specific thinking frameworks — things that take years of experience to accumulate - **What Claude already knows**: Basic concepts, standard library usage, common programming patterns, general best practices When a Skill explains "what is PDF" or "how to write a for-loop", it's compressing knowledge Claude already has. This is **token waste** — context window is a public resource shared with system p