SDO: Skill Discovery Optimization — The SEO of AI Agent Marketplaces

SEO optimizes for Google. ASO optimizes for app stores. GEO optimizes for AI chatbots like ChatGPT and Perplexity. But AI agents have their own marketplaces now — places like ClawHub where you search for skills to give your agent new abilities. These marketplaces have their own search algorithms, their own ranking rules, and their own tricks for getting found. SDO — Skill Discovery Optimization — is about understanding how these skill marketplaces rank results, and what you can do about it. I dug into ClawHub's source code to figure out exactly how their search works. Here's what I found. How ClawHub Search Actually Works Let me walk through what happens when you type a query into ClawHub. I spent a while reading the source code, so you don't have to. Step 1: Semantic Search Your search query gets turned into a vector (using OpenAI's text-embedding-3-small model), then compared against pre-computed vectors for every published skill. The top ~75 closest matches are pulled as initial can