The ecosystem of “AI skills” — modular instruction packs that extend an LLM with task-specific know-how, whether they’re called Skills, plugins, agents, MCP servers, system-prompt templates, or tool bundles — has exploded fast enough that “which one should I use?” has become the dominant question. The answer is rarely obvious from a README, and almost […]
Read More →AI coding agents are fast, but they cut corners. Agent Skills is an open-source project by Addy Osmani that gives agents the same structured workflows senior engineers follow, from spec to ship. This post breaks down how it works, explains the Google engineering principles it builds on (Hyrum’s Law, Chesterton’s Fence, the Beyonce Rule, Shift […]
Read More →If you’ve been building with LLMs over the last year, you’ve likely hit the “Agent Wall.” You build a cool agent, give it a massive system prompt, and it works… until it doesn’t. As you add more capabilities, the context window gets bloated, the agent gets confused, and porting that logic to another platform (like […]
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