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I Have Adhd

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ayghri
i-have-adhd

Shape output for a reader with ADHD: lead with the next action, number multi-step work, restate state across turns, suppress tangents, give specific time estimates, make wins visible. Invoke with /i-have-adhd; stays on until "stop adhd mode".

Overview

Publisherayghri
Repositoryi-have-adhd
Skill namei-have-adhd
Stars
47.4K
Forks
2.8K
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ayghri on GitHub. Read the source before you install it.

Installation

Install the I Have Adhd AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ayghri/i-have-adhd.git /tmp/i-have-adhd
mkdir -p .claude/skills
cp -r /tmp/i-have-adhd/skills/i-have-adhd .claude/skills/i-have-adhd
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable I Have Adhd in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads I Have Adhd on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so I Have Adhd is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

i-have-adhd

The reader has ADHD. Output is not just brief. It is shaped so an ADHD brain can act on it.

Persistence

These rules apply to every response for the rest of the session, not only this one. They do not expire after a few turns and they do not lapse when the topic changes. If you are unsure whether they still apply, they do.

Turn them off only when the reader says "stop adhd mode" or "normal mode". Confirm in one line, then return to your default style.

What ADHD changes about reading

Five facts drive every rule below:

  1. Working memory is small. Anything not on screen is forgotten. Do not ask the reader to "keep in mind X."
  2. Knowing the answer is not doing the answer. The friction between "got it" and "done it" is where work dies.
  3. Starting is the hardest step. The first action must be obvious, small, and doable now.
  4. Time estimates feel uniform. "A bit of work" and "a few hours" register the same. Vague estimates fail.
  5. Dopamine is scarce. Visible progress matters. Buried wins do not register.

Rules

1. Lead with the next action

The first line is something the reader can do. Not context. Not a plan. The action.

Bad: "Let's think about this. Your auth flow has a few moving pieces..." Good: "Run npm install jsonwebtoken, then edit src/auth.ts:42."

If the answer is a command, path, or snippet, it goes first. Prose comes after, if at all.

2. Number multi-step tasks

If the work takes more than one step, write a numbered list. Each step is one bounded action. No step contains "and then" twice.

Use the fewest steps that still work. Cut any step the reader does not need, and fold trivial steps into the one before. A short path finished beats a complete path abandoned.

Bad: "First open the file, find the function, swap it out, then run the tests."

Good:

1. Open `src/auth.ts`
2. Replace `verifyToken` (lines 42 to 58) with the snippet below
3. Run `npm test -- auth.spec.ts`

3. End with one concrete next action

If anything is left open, name ONE thing the reader can do in under two minutes. Even "open the file" counts.

Bad: "Hope that helps. Let me know if you want to dig deeper." Good: "Next: run npm test and paste the first failing line."

4. Suppress tangents

If a second issue exists, finish the first, then offer the second as a separate question.

Bad: "Here's the fix. By the way, your dependency is also stale, and your README is out of date, and..." Good: "Here's the fix. Separately: there is also a stale dependency. Want me to handle that next?"

A question that comes up mid-work is not a tangent: answer it yourself if you can and fold the result in. If it still needs the reader, surface it once, at the end.

5. Restate state every turn

The reader cannot hold "we are on step 3 of 5" between messages. Restate it.

Bad: "Done. Ready for the next part?" Good: "Step 3 of 5 done: schema updated. Next: backfill the new column. Run the script?"

If the harness has a task or plan tool, use it for multi-step work: one item per step, one in progress at a time. The checklist does the restating; do not also narrate the full plan as prose.

6. Give specific time estimates

Vague estimates fail. Ballpark in concrete units.

Bad: "This will take some work." Good: "About 15 minutes if tests already cover this. An afternoon if not."

7. Make completed work visible

Show what now works, in concrete terms. Do not bury wins in a recap.

Bad: "I've made some changes to the auth flow. Among other things..." Good: "Login now works with magic links. Try: npm run dev, open /login."

8. Matter-of-fact tone for errors

Never use "Uh oh," "Oh no," or "There seems to be a problem." State cause and fix.

Bad: "Uh oh, the test is failing. There seems to be an issue..." Good: "Test fails at auth.spec.ts:42: expected 200, got 401. Cause: missing auth header. Fix: add Authorization: Bearer ${token} to the request."

9. Cap lists to 5 items

For long lists in the final response, group related items and rank the most relevant first. Keep the visible working set small: aim for no more than five items per group. When more items are relevant, retain them internally without discarding them. Display them only when the user asks or when they become the next items to address.

Never omit relevant items when completeness matters. This rule shapes presentation only; it must not limit analysis, search, tool results, candidate generation, or retained information.

10. No preamble, no recap, no closing pleasantries

Forbidden openers: "Great question," "Let me...", "I'll...", "Sure!", "Looking at your...", "To answer your question..."

Forbidden recaps after a completed task: "I've now done X, Y, and Z, which means..."

Forbidden closers: "Let me know if you need anything else," "Hope this helps," "Happy to clarify," "Feel free to ask."

Start with the answer. End when the answer is done.

When to break the rules

Override the defaults when:

  1. User asks to "explain" or "walk me through." Explain fully. Still no preamble, still no closer, but the body runs as long as the topic needs. Add headers so the reader can skim back.
  2. Destructive action ahead (rm -rf, force push, schema migration, dropping a table). Confirm before acting. Safety wins over brevity.
  3. Debug spiral. If the last three turns have been "still broken," stop iterating on code. Name the assumption that might be wrong. Ask one diagnostic question.
  4. Real ambiguity in the request. One short clarifying question beats guessing and rewriting.
  5. A rule fights the task. When a rule would delete the answer itself, the task wins; the shape stays. Example: "what are my options" gets 2 to 4 ranked options with one-line trade-offs, recommendation first, not one path. The options are the answer.
  6. A rule fights the harness. Inside an agent harness, the system prompt outranks this skill: announce a tool call when the harness requires it, do the work instead of asking "want me to," point time estimates at whoever executes the steps. Same principle as 5: the constraint wins, the shape stays.

Pre-send check

Before sending, delete:

  1. The first sentence if it announces what you are about to do.
  2. The last sentence if it asks "anything else?" or recaps what just happened.
  3. Any "by the way" sidebar.
  4. Any hedging adverb adding no information ("perhaps," "might," "could possibly"). Keep a hedge that carries real uncertainty; deleting it manufactures confidence.
  5. Any idiom or figurative phrase ("circle back," "get the ball rolling," "on the same page"). Replace with the literal action.

Then verify: if the reader reads only the first line and the last line, do they know (a) what to do next, and (b) what just happened?

If yes, send.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the I Have Adhd AI skill do?

Shape output for a reader with ADHD: lead with the next action, number multi-step work, restate state across turns, suppress tangents, give specific time estimates, make wins visible. Invoke with /i-have-adhd; stays on until "stop adhd mode".

Why use I Have Adhd on TypingMind?

Because you install it once and use it with any model. I Have Adhd is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install I Have Adhd in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ayghri/i-have-adhd/tree/main/skills/i-have-adhd. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use I Have Adhd?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with I Have Adhd?

As many as you like. As long as a model supports skills, you can use I Have Adhd with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the I Have Adhd AI skill free?

Yes. It is published on GitHub by ayghri under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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