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attention-span

by alexgreensh865PythonUpdated 2026-08-21

Make your agents talk human. ADHD-friendly output styles for Claude Code, Codex, and others. So you can pay attention, not tokens.

Claude CodeCodexDevinAntigravity CLI

Attention Span is a collection of output styles for Claude Code that transform how the AI assistant presents information, making responses more scannable and ADHD-friendly without changing its coding capabilities. The package includes three distinct formatting styles: Attention-kind (answer-first with visual markers and bold keywords), Spartan (terse, minimal warmth), and Rundown (briefing-style with TL;DR and checklists). Each style is a single markdown file that drops into Claude Code's output-styles folder and can reduce response length by ~43% while maintaining work quality. The styles also work with other AI agents including Codex, Devin, and Antigravity CLI through simple installation commands.

Key Features

Three output styles: Attention-kind (ADHD-friendly with → markers and bold), Spartan (maximum compression, zero warmth), and Rundown (TL;DR briefings with emoji checklists)
Reduces average response length by ~43% (median 41%) while maintaining 97% test pass rate on coding tasks
Answer-first formatting puts conclusions in the first line 75% of the time vs 3% with default style
Built-in visual scanning aids including arrow markers, heavy bolding, and spacing between points
Works with Claude Code, Codex, Devin, and Antigravity CLI through stripped markdown installation
Includes optional /style command for GUI-based style switching without editing JSON files
Adds ~650 tokens per session (cached after first request) with negligible cost given output savings
Preserves coding behavior unchanged via keep-coding-instructions flag

Use Cases

  • 01Making AI assistant responses scannable for developers with ADHD or attention fatigue
  • 02Reducing token costs on conversational output while maintaining technical accuracy
  • 03Getting terse, signal-only responses during heads-down coding sessions with Spartan mode
  • 04Formatting status updates and standup reports with Rundown's checklist style
  • 05Quickly scanning bold keywords to grasp AI responses without reading full paragraphs
  • 06Switching between output styles per-project or per-session based on context needs

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attention-span — FAQ

What is Attention Span and what does it do?+

Attention Span is a collection of output styles for Claude Code and other AI coding assistants that change how the AI formats its responses to be more scannable and concise. It includes three styles (Attention-kind, Spartan, and Rundown) that reduce response length by ~43% on average while keeping the AI's coding work quality unchanged.

How do I install Attention Span in Claude Code?+

Create the output-styles folder with mkdir -p ~/.claude/output-styles, download the style file with curl, then set it as default in ~/.claude/settings.json by adding "outputStyle": "Attention-kind". Alternatively, install the /style command for GUI-based switching without editing JSON.

Which AI clients and agents work with Attention Span?+

Attention Span works natively with Claude Code and can be installed in Codex, Devin (via Windsurf compatibility), and Antigravity CLI (agy) by stripping the YAML frontmatter and placing the markdown in each agent's rules or instructions file.

Do I need API keys or paid accounts to use Attention Span?+

No API keys are required. You only need an existing Claude Code installation or another compatible AI agent. The styles are free and open source under AGPL-3.0 license.

Does Attention Span affect code quality or AI capabilities?+

No, benchmarks show the AI's coding work remains unchanged with 97% test pass rate both with and without the styles enabled. Only the presentation and formatting of responses change, not the underlying technical capabilities.

How much do the output styles cost in tokens?+

Each style adds approximately 650 tokens per session, loaded once and cached after the first request in Claude Code. The ~43% reduction in output length means the styles typically save tokens after just a few responses.

How do I install attention-span?+

Open the source repository on GitHub and follow its README. attention-span is a plugin — MCP Agents Market links you directly to the official repo.

Is attention-span free?+

attention-span is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.

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