F Four years ago I wrote Sharpen the saw . Same message still holds, but the saw changed. If you are still sharpening only what you know, you are sharpening the wrong thing. So let's do the uncomfortable check again. When did you last build something with AI (and I am not talking about few ChatGPT prompts)? When did you last try a new model, a new tool, or a new workflow? How much time did you spend last week consuming AI content vs. actually using AI to change something? Snowball with AI, or get buried by it Your knowledge is the small snowball. AI is the snow around. Used right, you compound years of experience into weeks of output. Used wrong, you generate plausible looking nonsense and call it a day. The point is not to let AI do your job. The point is to let AI do the boring 80% so you can go deeper on the part that actually needs you. Talking to users. Delivering value. If you are a senior and you still hand-write boilerplate code in 2026, you are burning ...
C Claude is great at many things, but it does not know your tools. It knows Oracle, it knows APEX, it knows PL/SQL. But it does not know ADT. So when you ask it to create a patch, it will hallucinate the commands and you will waste time fixing them. That is where skills come in. That is why I created ADT skills for you. What are skills? Skills are basically text files (SKILL.md) which you put in your project's ".claude/skills/" folder. When you ask Claude to do something, it reads these files first and follows the instructions. Think of it as a cheat sheet for Claude. You write the rules once and Claude will follow them every time. You can write skills for anything. Coding standards, naming conventions, deployment procedures, formatting rules. If you can describe it, Claude can follow it. I created two skills for ADT so far: adt and adt-setup . They are available on my AI_SKILLS repo . You can copy them to your project and adjust them to your needs. The ADT...