"i-have-adhd": A Python Tool to Make AI Coding Agent Outputs Concise
The GitHub repository `ayghri/i-have-adhd` has introduced a Python-based skill designed to format the outputs of AI coding agents. This tool aims to make responses more direct and concise, preventing agents from burying the actual answers in verbose text. Large Language Model (LLM) coding agents are often overly verbose, which can overwhelm developers or hide key information. By enforcing "ADHD-friendly" formatting, this tool improves developer productivity and reduces cognitive load when interacting with AI assistants. The project is implemented as an "Agent Skill", a lightweight format used to extend the capabilities of AI agents like Claude or Cursor. It specifically targets the formatting of outputs to ensure they are structured for quick scanning and immediate utility.
## BACKGROUND
AI coding agents, such as Cursor, assist developers by generating code and answering technical queries. However, they frequently generate excessive conversational filler or redundant explanations. "Agent Skills" are modular extensions, often packaged as simple folders with markdown files, that developers can install to customize how these AI agents behave and format their responses.