SPA3K

Quantum Reading Skill — AI skill for Claude Code

AI community

Read Less, Understand More - Lightweight intelligent text reader for AI agents with 30%+ token optimization.

How to install Quantum Reading Skill

This entry records only its repository, not the path inside it, so there is no exact command to give. Open SPA3K/readless-skill and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Quantum Reading Skill does

Read Less, Understand More - Lightweight intelligent text reader for AI agents with 30%+ token optimization.

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README

⚛️ 量子阅读 Quantum Reading

40% of the text. 0% of the value. We skip it.

**Like quantum tunneling — bypass the noise, reach the information core instantly.**

[English](README.md) | [中文](README_CN.md) | [Live Demo](web/index.html)

🔬 Experiment Results

Quantum Reading applied to three real-world Chinese text samples:

Input	Type	Original Tokens	After QR	Saved	💰 Cost Saved*
GAPS 论文	Physics paper (arXiv)	2,008	1,388	31%	$0.0093
微信推送文	WeChat tech article	2,336	1,477	37%	$0.0129
表白小作文	Love confession letter	1,189	681	43%	$0.0076

*Based on Claude Opus 4.7 input pricing ($15/MTok). Savings scale with document length — longer docs yield higher reduction.

🖥️ Web Demo

Try it now — paste any text and watch Quantum Reading highlight what matters.

**[→ Open Demo](web/index.html)**

The demo visualizes every rule from the skill: summary markers, structural headings, data patterns, logic connectors, and paragraph first/last sentence priority. High-value sentences appear in **bold white**, low-value text is grayed out.

![GAPS Paper — 31% saved](screenshots/article.jpg)

*GAPS physics paper (arXiv) — 2,008 → 1,388 tokens, 31% saved*

![WeChat Article — 37% saved](screenshots/wechat.jpg)

*WeChat tech article (ChatGPT Images 2.0) — 2,336 → 1,477 tokens, 37% saved*

![Love Letter — 43% saved](screenshots/balabala.jpg)

*Love confession letter — 1,189 → 681 tokens, 43% saved*

Overview

Quantum Reading is an AI Agent skill that teaches AI to **skim documents like humans do** — not word-by-word, but through intelligent scanning strategies.

Through **8 human reading techniques** and **Subagent isolation**, it saves ~40% tokens on typical texts while maintaining 98%+ information accuracy.

Works with Claude Code, C