LearnThinkingChain

Cognitive Process Emulator for Gemini | 认知过程模拟器

Transform Gemini into a "Backtracking Cognitive Simulator" through Q1-Q4 Cognitive Meta-Architecture

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📑 Table of Contents

• SECTION A: Quick Start (Direct Use)
• SECTION B: Detailed Architecture (For Developers)
• Troubleshooting

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SECTION A: Quick Start (Direct Use)

🚀 One-Minute Setup

Step 1: Clone & Install

git clone https://github.com/abwoo/LearnThinkingChain.git
cd LearnThinkingChain
npm install
npm run build:extension
npm run build:web

Step 2: Load Extension in Chrome

1. Open Chrome and navigate to chrome://extensions/
2. Enable "Developer mode" (toggle in top-right)
3. Click "Load unpacked"
4. Select the dist/extension folder

Optional: Build Dashboard

npm run build:web

Dashboard output will be in dist/web.

Step 3: Activate in Gemini

1. Visit Gemini
2. Look for the ⚡ THINKING CHAIN floating panel (top-right)
3. Toggle the switch to ON
4. Select your preferred cognitive protocol:
   • Novice Backtracker: Peer learning perspective
   • Socratic Guide: Question-based guidance
   • First Principles: Atomic truth reduction
   • Analogy Weaver: Analogical reasoning

🎮 Control Interface

Floating Hub Controls

The Thinking Chain Hub appears as a floating panel in Gemini's interface:

• Toggle Switch: Activate/deactivate the cognitive framework
• Protocol Selector: Choose your cognitive mode
• Status Indicator: Shows system health and connection status

How It Works

1. Type your question in Gemini's input box
2. Press Enter or click Send
3. The extension intercepts your input at the capture phase
4. Your prompt is enhanced with cognitive scaffolding:
   • Q1: Blind Spot identification
   • Q2: Entropy path exploration
   • Q3: Deep backtracking
   • Q4: Cognitive handover
5. Gemini receives the enhanced prompt and responds accordingly

Visual Indicators

• Blue Glow: Extension is active and processing
• Red Indicator: Error detected (check console)
• Green Status: All systems operational

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SECTION B: Detailed Architecture (For Developers)

🏗️ Cognitive Logic Framework

The Backtracking Thinking Rule-Set

LearnThinkingChain implements a recursive search pattern that transforms linear problem-solving into a backtracking loop:

User Input
↓
Q1: Novice Emulator (ZPD Perspective)
↓
Q2: Path Branching
├─→ Common Pitfall Path (intuitive but wrong)
└─→ First Principles Path (correct but requires backtracking)
↓
Q3: Recursive Backtracking
└─→ Identify pivot point where paths diverge
↓
Q4: Cognitive Handover
└─→ Provide direction, stop before answer, ask open question

First-Principles Approach

The system enforces first-principles thinking by:

1. Stripping Analogies: Remove surface-level comparisons
2. Identifying Atomic Truths: Break down to fundamental definitions
3. Rebuilding Logic Chain: Construct solution from axioms
4. Validating Each Step: Verify against boundary conditions

Zone of Proximal Development (ZPD)

The system dynamically adjusts complexity based on:

• Knowledge Debt: High debt → Lower complexity
• Weak Points: Frequent failures → More scaffolding
• Preferred Heuristics: Visual/Analytical/Analogical → Tailored approach

⚙️ Rule Engine & Hooks

Injection Rules: Capture Phase Logic

The RequestInterceptor hijacks React events using capture phase interception:

// Event listener with capture flag (true = capture phase)document.addEventListener('keydown',handler,true);// Stop all subsequent handlersevent.stopImmediatePropagation();event.stopPropagation();event.preventDefault();// Process through middlewareconstprocessed=awaitPromptMiddleware.process(input);// Re-dispatch event with processed valueelement.dispatchEvent(syntheticEvent);

Key Selectors (updated for latest Gemini DOM):

inputSelectors: ['div[contenteditable="true"][data-lexical-editor="true"]','div[contenteditable="true"][role="textbox"]','div[contenteditable="true"]','textarea[aria-label*="message"]','textarea[aria-label*="消息"]']
submitSelectors: ['button[aria-label*="Send"]','button[aria-label*="发送"]','button[data-testid="send-button"]']

Cognitive Memory: UserCognitiveProfile Schema

interfaceUserCognitiveProfile{// Weak Points: Topic → Failure FrequencyweakPoints: Map<string,number>;// Preferred Learning StylepreferredHeuristics: 'visual'|'analytical'|'analogical';// Session HistorysessionLogs: Array<{timestamp: number;logicBridgeUsed: string;promptText: string;responseLength: number;skillsDetected: string[];}>;// Knowledge Debt: Concept → Debt ScoreknowledgeDebt: Map<string,number>;// MetadatalastUpdated: number;totalSessions: number;averageResponseTime: number;}

Storage Location: chrome.storage.local['ltc_cognitive_profile']

Customization: System Prompt Template

The system prompt template can be customized for different learning subjects:

For Mathematics

constmathTemplate={q1_blind_spot: "Identify the most tempting formula or shortcut",q2_entropy: "Follow the intuitive calculation, show where it breaks",q3_backtrack: "Return to fundamental definitions (e.g., limit, derivative)",q4_handover: "Ask: 'What happens if we change this variable?'"};

For Programming

constcodeTemplate={q1_blind_spot: "Identify the surface-level syntax that misleads",q2_entropy: "Write the naive solution, show the edge case failure",q3_backtrack: "Return to data structures and algorithm fundamentals",q4_handover: "Ask: 'How would you optimize this for scale?'"};

For Philosophy

constphilosophyTemplate={q1_blind_spot: "Identify the common-sense assumption",q2_entropy: "Follow the intuitive argument, reveal the logical gap",q3_backtrack: "Return to first principles (definitions, axioms)",q4_handover: "Ask: 'What would a counter-argument look like?'"};

Modification Location: src/content/main.ts → getDefaultProtocols()

🔌 Advanced API Interoperability

Internal Messaging System

The extension uses a multi-layer messaging architecture:

Content Script ↔ Background Script

// Content Script → Backgroundchrome.runtime.sendMessage({type: 'STATE_UPDATE',payload: {isActive: true,mode: 'novice'}});// Background → Content Scriptchrome.runtime.onMessage.addListener((message,sender,sendResponse)=>{if(message.type==='PROFILE_UPDATE'){updateProfile(message.payload);}});

Background Script ↔ Dashboard

// Background → Dashboard (via chrome.runtime.sendMessage)chrome.runtime.sendMessage({type: 'STATE_PUSH',payload: {active: true,mode: 'novice',latestResponse: { ... }}});// Dashboard listens via chrome.runtime.onMessagechrome.runtime.onMessage.addListener((message)=>{if(message.type==='STATE_PUSH'){updateDashboard(message.payload);}});

Storage Events (Cross-Component Sync)

// Any component can listen to storage changeschrome.storage.onChanged.addListener((changes,areaName)=>{if(changes.ltc_active){// React to active state change}if(changes.ltc_profile){// React to profile update}});

Component Communication Flow

User Action (Gemini Page)
↓
Content Script (RequestInterceptor)
↓
PromptMiddleware (Core Engine)
↓
CognitiveBridge (Knowledge Analysis)
↓
CognitiveProfileService (Storage)
↓
Background Script (State Sync)
↓
Dashboard (Real-time Display)

🐛 Troubleshooting

Decision Tree for Common Issues

Issue: Extension Not Intercepting Input

1. Check if extension is active
├─→ Toggle switch ON? → Yes → Continue
└─→ No → Turn ON and retry
2. Check DOM selectors
├─→ Open DevTools → Console
├─→ Run: document.querySelector('div[contenteditable="true"]')
└─→ If null → Gemini updated DOM structure
└─→ Update selectors in src/content/main.ts
3. Check for errors
├─→ Open DevTools → Console
├─→ Look for "RequestInterceptor" errors
└─→ Check chrome://extensions/ → Errors section
4. Verify event interception
├─→ Add breakpoint in RequestInterceptor.onKeydownCapture
└─→ Press Enter → Should hit breakpoint

Issue: State Synchronization Problems

1. Check storage quota
├─→ chrome.storage.local.getBytesInUse(null, console.log)
└─→ If > 90% → Clear old logs/errors
2. Verify storage listeners
├─→ Check chrome.storage.onChanged listeners are registered
└─→ Test: chrome.storage.local.set({ ltc_active: true })
3. Check message channels
├─→ Verify chrome.runtime.sendMessage is working
└─→ Check background script is running (chrome://extensions/)

Issue: Shadow DOM UI Not Displaying

1. Check ShadowHost mounting
├─→ Verify shadowHost.mount() was called
└─→ Check console for "ShadowHost: Mounted successfully"
2. Check CSS isolation
├─→ Inspect shadow root in DevTools
├─→ Verify styles are injected
└─→ Check for host CSS interference
3. Check z-index conflicts
├─→ Verify shadow host z-index: 999999
└─→ Check Gemini's UI z-index values

Issue: Cognitive Profile Not Updating

1. Check CognitiveFeedbackLoop
├─→ Verify response DOM is being analyzed
└─→ Check console for "CognitiveFeedbackLoop: Analysis complete"
2. Check storage permissions
├─→ Verify "storage" permission in manifest.json
└─→ Check chrome.storage.local.set() is not throwing errors
3. Check profile service
├─→ Verify CognitiveProfileService.save() is called
└─→ Check chrome.storage.local.get('ltc_cognitive_profile')

Error Codes Reference

Error Code	Meaning	Solution
DOM_SELECTION_FAILED	Input element not found	Update selectors or wait for page load
STORAGE_QUOTA_EXCEEDED	Storage limit reached	Clear old data via GlobalErrorHandler
CIRCUIT_BREAKER_OPEN	Too many failures	Check console for root cause, wait 30s
SHADOW_DOM_MOUNT_FAILED	Shadow root creation failed	Check DOM readiness, verify permissions

Debug Commands

// In Chrome DevTools Console (on Gemini page)// Check extension statechrome.storage.local.get(['ltc_active','ltc_mode'],console.log);// View cognitive profilechrome.storage.local.get('ltc_cognitive_profile',console.log);// View recent errorschrome.storage.local.get('ltc_global_errors',console.log);// View logschrome.storage.local.get('ltc_logs',console.log);// Clear all data (reset)chrome.storage.local.clear();// Check input elementdocument.querySelector('div[contenteditable="true"]');// Check if interceptor is active// (Add breakpoint in RequestInterceptor.start())

📚 Additional Resources

• ARCHITECTURE.md - Detailed architecture documentation
• PRODUCTION_GUIDE.md - Production deployment guide
• CONTRIBUTING.md - Contribution guidelines
• IMPLEMENTATION_COMPLETE.md - Implementation status

🔗 Links

• GitHub Repository: https://github.com/abwoo/LearnThinkingChain
• Cloud Dashboard: https://abwoo.github.io/LearnThinkingChain/
• Issues: https://github.com/abwoo/LearnThinkingChain/issues

📄 License

ISC License - See LICENSE file for details.

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Last Updated: 2026-01-28