As someone who frequently interacts with AI-powered coding assistants, I’ve often been frustrated by answers that overwhelm me with lengthy explanations before reaching the point. That’s why I appreciate tools designed to prioritize direct, actionable responses. One great example is the "i-have-adhd" skill for coding assistants, which is specifically designed to help avoid the common pitfall of burying answers within paragraphs. This skill enforces a set of rules—like leading with the next action, suppressing tangents, providing specific time estimates, and ending with a single concrete next step—that make responses very straightforward and user-friendly. From using this approach, I learned that having your coding assistant break down complex tasks into numbered, manageable steps can greatly enhance clarity. It’s much easier to follow instructions when you don’t have to sift through multiple sentences of background information. For instance, rather than a vague response like "Let me think about it," a well-structured reply will start immediately with the primary action you should take. Additionally, incorporating clear error messages and capping lists at five items keeps interactions focused and prevents unnecessary cognitive overload. This mirrors best practices in technical communication and enhances productivity, especially in fast-paced development environments. For developers managing repositories on platforms like GitHub, these coding assistant skills can integrate seamlessly to streamline daily workflows. Following these guidelines has helped me reduce time wasted on deciphering convoluted answers, allowing me to focus on coding tasks themselves. If you’ve ever felt annoyed by coding assistants that offer polite preambles or lengthy recaps instead of straight answers, exploring skill add-ons inspired by the "i-have-adhd" framework could be a game changer. It encourages a shift from verbose explanations to a more ADHD-friendly output style that prioritizes efficiency and clarity. In my experience, adopting these principles improves the overall coding assistant interaction, making it easier to troubleshoot issues and implement quick fixes. I highly recommend trying out such skills to anyone who wants to optimize their AI coding assistant’s helpfulness.