Agent skill

I Have Adhd

by TanStack in TanStack/ai

A skill your agent uses when the user invokes /i-have-adhd, says they have ADHD, or asks for ADHD-friendly output.

MITAuto-check passedProductivity & Automation

Install I Have Adhd

skills CLI
$ npx skills add TanStack/ai --skill i-have-adhd -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install TanStack/ai i-have-adhd --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/TanStack/ai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.grok/skills/i-have-adhd .claude/skills/i-have-adhd && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
i-have-adhd
GitHub stars
3.2k
Used in
5 other repos
Token cost
~1.8k tokens
SKILL.md length
1,121 words
Files
3
Skills in repo
24
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the user invokes /i-have-adhd, says they have ADHD, or asks for ADHD-friendly output.

  • Works in 10 steps: Lead with the next action → Number multi-step tasks → End with one concrete next action → …
  • The user invokes /i-have-adhd
  • SKILL.md covers Persistence, What ADHD changes about reading, Rules and When to break the rules, plus 1 more section
  • Calls npm

What it does

I Have Adhd is an agent skill from TanStack/ai. Use when the user invokes /i-have-adhd, says they have ADHD, or asks for ADHD-friendly output. Also used as a required writing filter by the docs skill. Don't use for marketing copy or after the user says "stop adhd mode" or "normal mode".

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `README.md`).

It sits in Productivity & Automation, covering Focus and ADHD support. The repository describes itself as: 🤖 Type-safe, provider-agnostic TypeScript AI SDK for streaming chat, tool calling, agents, and multimodal apps across OpenAI, Anthropic, Gemini, React, Vue, Svelte, and Solid. The licence is MIT.

When your agent uses it

  • The user invokes /i-have-adhd
  • Says they have ADHD
  • Asks for ADHD-friendly output
  • After the user says stop adhd mode

Example prompts

  • “t use for marketing copy or after the user says”
  • “normal mode”
  • “/i-have-adhd”

Requirements

  • Node.js

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. Lead with the next action
  2. Number multi-step tasks
  3. End with one concrete next action
  4. Suppress tangents
  5. Restate state every turn
  6. Give specific time estimates
  7. Make completed work visible
  8. Matter-of-fact tone for errors
  9. Cap lists at 5 items
  10. No preamble, no recap, no closing pleasantries

What it can do on your machine

Read from SKILL.md and the folder at commit 5a41239. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

I Have Adhd loads about 1.8k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 1,121 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from TanStack/ai at commit 5a41239, republished under its MIT licence (© TanStack). 1,121 words, ~1,759 tokens.

Download SKILL.mdSave it as .claude/skills/i-have-adhd/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
i-have-adhd
description
Use when the user invokes /i-have-adhd, says they have ADHD, or asks for ADHD-friendly output. Also used as a required writing filter by the docs skill. Don't use for marketing copy or after the user says "stop adhd mode" or "normal mode".
disable-model-invocation
true
license
MIT
metadata.tags
ADHD, Output Style, Productivity, Formatting
metadata.category
productivity
metadata.source
https://github.com/ayghri/i-have-adhd

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.

When this skill is loaded as a docs prerequisite, ignore this section. Apply the rules to the documentation pages only. Do not switch the rest of the session into ADHD mode.

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."

Show full SKILL.md (466 more words)Show less
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 at 5 items

If a list grows past five, split into "do now" vs "later," or "must" vs "nice to have." Five items ranked beats ten unranked.

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.

© TanStack, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files in .grok/skills/i-have-adhd of TanStack/ai.

  • SKILL.md
  • LICENSE
  • README.md

Open the folder on GitHubat commit 5a41239

Used in 5 other repositories

We found 8 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 5 other GitHub owners. This page covers the copy in TanStack/ai, which our catalogue first saw on October 7, 2026.

Compare with similar skills

I Have Adhd next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

I Have Adhd compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
I Have Adhd this skillTanStack/ai3.2k5 repos~1.8kAutomated safety check: PassMIT
Attention Kindalexgreensh/attention-span1.3k—~2kAutomated safety check: PassAGPL-3.0
Remind Meshaheer-00/claude-adhd104—~1.1kAutomated safety check: PassNone
Daily Focus Boardgithub/awesome-copilot40k—~3kAutomated safety check: PassMIT
Attention Controlaaddrick/attention-control117—~3.6kAutomated safety check: PassMIT
Fable Fablemrtooher/fable-mode870—~1.1kAutomated safety check: PassNone

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Questions about I Have Adhd

What does I Have Adhd do?

A skill your agent uses when the user invokes /i-have-adhd, says they have ADHD, or asks for ADHD-friendly output. I Have Adhd is an agent skill from TanStack/ai. Use when the user invokes /i-have-adhd, says they have ADHD, or asks for ADHD-friendly output.

When should I use I Have Adhd?

I Have Adhd fits situations like: the user invokes /i-have-adhd; says they have ADHD; asks for ADHD-friendly output; after the user says stop adhd mode.

How do I install I Have Adhd in Claude Code?

Run `npx skills add TanStack/ai --skill i-have-adhd -a claude-code`. Or copy the skill folder (.grok/skills/i-have-adhd in TanStack/ai) into .claude/skills/i-have-adhd in your project. Claude Code loads it when a task matches its description.

How do I install I Have Adhd in Codex?

Run `npx skills add TanStack/ai --skill i-have-adhd -a codex`. Or copy the skill folder (.grok/skills/i-have-adhd in TanStack/ai) into .agents/skills/i-have-adhd in your project. Codex loads it when a task matches its description.

Can I use I Have Adhd in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add TanStack/ai --skill i-have-adhd -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/i-have-adhd, .gemini/skills/i-have-adhd, .github/skills/i-have-adhd and .opencode/skills/i-have-adhd in your project.

What does I Have Adhd need to run?

Going by SKILL.md and its folder, I Have Adhd needs the command-line tools its instructions call (npm). Our summary lists: Node.js.

Does I Have Adhd access the network?

SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is I Have Adhd safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does I Have Adhd use?

I Have Adhd is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does I Have Adhd use?

About 1.8k tokens (SKILL.md is roughly 7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to I Have Adhd?

Skills that share tags, products or a category with I Have Adhd: Attention Kind (alexgreensh/attention-span, 1.3k stars), Remind Me (shaheer-00/claude-adhd, 104 stars), Daily Focus Board (github/awesome-copilot, 40k stars) and Attention Control (aaddrick/attention-control, 117 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains I Have Adhd?

TanStack (a GitHub organization) maintains it in TanStack/ai, which has 3,169 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 7, 2026.

Source: TanStack/ai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.