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I-Have-ADHD: A GitHub Skill That Restructures AI Coding Responses

A developer-created plugin trains coding assistants to lead with answers and skip preamble, following 10 rules designed around ADHD-friendly output principles.

I-Have-ADHD: A GitHub Skill That Restructures AI Coding Responses

A GitHub repository published by Ayghri offers a customizable skill or plugin for coding assistants like Claude that restructures how AI presents information. Called “i-have-ADHD,” the tool is framed as ADHD-friendly output formatting, though the creator notes no diagnosis is required to use it.

I-Have-ADHD: A GitHub Skill That Restructures AI Coding Responses

The skill enforces 10 core rules designed to eliminate common friction points in AI-assisted coding workflows. According to the repository, these rules include: leading with the next action rather than explanation, numbering multi-step tasks, ending with one concrete next step, suppressing tangential information, restating current state each turn, providing specific time estimates rather than vague durations, making progress visible, stating errors matter-of-factly, capping lists at 5 items, and removing preamble, recap, and closing phrases like “Hope this helps!”

The project is available as an open-source skill that can be installed directly into Claude Code or similar CLI environments. Users can install it via command line or access full installation instructions from the repository. The skill is also customizable—developers can fork the repository, edit the SKILL.md file to tailor the rules, and swap in their own modified version using Claude plugin commands.

According to the source, the approach is loosely based on “The Adult ADHD Tool Kit” by J. Russell Ramsay and Anthony L. Rostain, though it was adapted specifically for how language models should respond rather than how humans should organize daily tasks.

The repository emphasizes removing friction from interactions with coding agents. Common pain points addressed include AI responses that bury key information under explanatory preamble, unclear task sequences, vague time estimates, and closing pleasantries that add scrolling overhead. By front-loading actionable information and enforcing structural consistency, the skill aims to make AI coding assistance more efficient for users who struggle with long-form output or cognitive overload.

The project is released under the MIT license and is available in multiple language versions including English, Chinese, Brazilian Portuguese, Japanese, Vietnamese, Korean, and Thai. The repository encourages users to contribute by starring the project if the skill proves useful.

Key facts

  • I-Have-ADHD is a customizable skill/plugin for coding assistants designed to restructure AI response format
  • The tool enforces 10 rules including leading with answers, numbered steps, no preamble, and specific time estimates
  • Users can fork the repository on GitHub and customize the rules before installing into their coding assistant
  • The approach adapts principles from an adult ADHD organizational toolkit for AI assistant communication
  • The project is released under MIT license and available in seven languages

Sources

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