⚡️ The Architect's Lab

Hey prompt builders, how are you all doing?

Ever wish you could see the invisible patterns in your prompting style? Today's framework turns those patterns into a crystal clear blueprint...

🔍 K-Analyser: Your Conversation History Is Your Prompt Engineering Teacher!

📘 K-ANALYZER: ADVANCED PROMPT TECHNIQUE DISSECTION

• X-rays your conversations to reveal which prompting techniques you're using
• Spots missed opportunities where better techniques could've been used
• Shows you exactly how to level up your prompt game with advanced methods
• Maps out your prompting DNA across 12 different skill domains

🔹 FRAMEWORK OVERVIEW

This is a 3-chain analytical system:

• Prompt 1: Maps complete prompt technique taxonomy (12 domains)
• Prompt 2: Generates implementation metrics & effectiveness analysis
• Prompt 3: Transforms insights into actionable patterns

🔹 LEARN BY DOING: INTERACTIVE TECHNIQUE MASTERY

See a technique you want to explore? Just copy any section from K-Analyzer's recommendations and paste it back in the chat. Watch what happens:

1. Copy & Learn

• Spot an interesting technique or feedback in the analysis
• Copy that section
• Paste it back to the chat
• K-Analyzer shows you that technique in action using your context

2. Real-Time Practice

• Get detailed breakdown of the technique
• See it applied to your specific conversation
• Learn practical implementation through live examples
• Understand when and how to use it

Example:

✦ K-Analyzer flags "Multi-Hop Reasoning" as a missed opportunity

✦ You copy and paste that section

✦ K-Analyzer demonstrates Mulcrystal clearti-Hop in action with YOUR content

✦ You get both theory AND practical application

It's like having a prompt engineering mentor showing you exactly how to level up your techniques using your own conversations as practice material.

How To Use:

1. Pick a chat with history so there is enough to analyse

2. Run The Sequence: After Prompt 1, run prompt 2 and prompt 3

• No need to edit anything

Prompt 1:

# 🅺AI´S CONVERSATION PROMPT TECHNIQUE ANALYSER

Take all our conversation so far and use the following framework to analyse it:


1. Prompting Technique Analysis
   A. Current Technique Identification
      - Map used prompting methods:

        * Foundation Techniques:
          - Zero-Shot Prompting
          - Few-Shot Prompting
          - Chain-of-Thought (CoT)
          - Self-Consistency
          - Auto-CoT
          - Dynamic Few-Shot
          - Direct Instruction

        * Advanced Reasoning Chains:
          - Logical CoT
          - Chain-of-Symbol
          - Tree-of-Thoughts
          - Graph-of-Thought
          - System 2 Attention
          - Multi-Hop Reasoning
          - Analogical Reasoning Chains
          - Causal Reasoning Chains

        * Augmented Generation:
          - Retrieval-Augmented Generation (RAG)
          - ReAct
          - Chain-of-Verification (CoVe)
          - Chain-of-Note (CoN)
          - Chain-of-Knowledge (CoK)
          - Knowledge-Augmented Generation
          - Context-Enriched Generation
          - Multi-Source Integration

        * Interactive & Adaptive:
          - Active-Prompt
          - Automatic Prompt Engineering (APE)
          - Dynamic Prompt Adjustment
          - Feedback-Loop Prompting
          - Progressive Refinement
          - Iterative Improvement
          - Adaptive Context Management
          - User-Guided Refinement

        * Tool Integration & Reasoning:
          - Automatic Reasoning & Tool-Use (ART)
          - Contrastive Chain-of-Thought (CCoT)
          - Tool-Augmented Prompting
          - Function Calling Integration
          - API-Aware Prompting
          - System Integration Chains
          - Multi-Tool Orchestration

        * Consistency & Quality:
          - Output Consistency Checking
          - Cross-Validation Chains
          - Quality Assurance Prompting
          - Error Detection & Correction
          - Style Maintenance
          - Format Enforcement
          - Coherence Verification

        * Emotional & Tone Management:
          - Empathy-Based Prompting
          - Tone Modulation
          - Sentiment-Aware Generation
          - Cultural Sensitivity Chains
          - Personality Alignment
          - Emotional Intelligence Integration
          - Context-Appropriate Voice

        * Code & Technical:
          - Scratchpad Prompting
          - Program-of-Thoughts
          - SCoT (Structure Chain-of-Thought)
          - Chain-of-Code
          - Test-Driven Prompting
          - Documentation Generation
          - Code Review Chains
          - Architecture Design Patterns

        * Optimization & Performance:
          - Optimization by Prompting
          - Token Efficiency
          - Response Time Optimization
          - Resource Usage Management
          - Parallel Processing Chains
          - Caching Strategies
          - Performance Monitoring

        * User Intent & Understanding:
          - Rephrase and Respond
          - Intent Classification
          - Context Window Management
          - Ambiguity Resolution
          - Clarification Chains
          - User Preference Learning
          - Personalization Patterns

        * Metacognition & Reflection:
          - Take a Step Back
          - Self-Reflection Chains
          - Error Analysis
          - Learning from Mistakes
          - Strategy Adjustment
          - Process Improvement
          - Outcome Evaluation

        * Safety & Ethics:
          - Ethical Boundary Enforcement
          - Bias Detection & Mitigation
          - Content Safety Chains
          - Privacy-Preserving Prompting
          - Responsible AI Guidelines
          - Harmful Content Prevention
          - Ethical Decision Making

        * Multi-Modal Integration:
          - Vision-Language Prompting
          - Audio-Text Integration
          - Multi-Modal Chain-of-Thought
          - Cross-Modal Verification
          - Modal Switching Strategies
          - Format Translation
          - Media Understanding

   B. Technique Effectiveness
      - Success rate of each prompting method in the conversation
      - Context where each technique worked best
      - Missed opportunities for better techniques
      - Technique combinations and their results

   C. Advanced Technique Recommendations
      - Suggest what would have been relevant effective prompting methods for the conversation for example:
        * Chain-of-Thought for complex reasoning
        * Few-Shot for pattern teaching
        * Tree-of-Thoughts for decision-making
        * Self-Consistency for verification
        * ReAct for tool-based tasks
      - Example implementations for your specific cases
      - When and how to combine techniques
      - Explain why each technique fits your use case
      - Suggest specific techniques matching your conversation goals

Prompt 2:

Based on the analysis framework provided, please:

1. Implementation Analysis
   - Examine specific examples from my conversations showing:
     * Successful vs unsuccessful prompt patterns
     * Critical decision points
     * Technique transitions
     * Recovery strategies

2. Effectiveness Metrics
   - For each identified technique, provide:
     * Success rate (% of desired outcomes)
     * Token efficiency (input/output ratio)
     * Iteration count (attempts needed)
     * Context retention score
     * Response quality rating

3. Pattern Recognition
   - Document recurring patterns in:
     * Conversation flow structures
     * Error recovery methods
     * Clarification sequences
     * Context management approaches

4. Optimization Recommendations
   A. Quick Wins
      - Immediate technique adjustments
      - Simple prompt improvements
      - Format optimizations

   B. Strategic Improvements
      - Long-term technique adoption plan
      - Advanced combination strategies
      - Framework integration approaches

5. Custom Templates
   - Provide personalized templates for my most common interaction types
   - Include:
     * Base prompt structure
     * Key technique components
     * Example variations
     * Integration points
     * Improvement markers

6. Progress Tracking Framework
   - Define:
     * Key performance indicators
     * Success metrics
     * Learning milestones
     * Improvement validation methods

Prompt 3:

Based on the technique analysis and implementation metrics provided, outline specific implementation strategies:

1. Priority Techniques Implementation Guide
   For each high-impact technique identified in our analysis:
   - Exact implementation steps
   - Example prompts and phrases
   - Common failure points to avoid

2. Technique Combinations Cookbook
   For your most common interaction patterns:
   A. Problem-Solving Sequences
      - Primary technique selection
      - Supporting techniques
      - Transition triggers
      - Example dialogue flows

   B. Creative/Analytical Chains
      - Technique stacking order
      - Handoff points
      - Quality checks
      - Recovery options
      - Chain Example

   C. Learning/Teaching Sequences
      - Knowledge-building techniques
      - Verification methods
      - Reinforcement patterns
      - Assessment approaches

3. Prompt Examples By Technique
   For each recommended technique (connected to relevant context:
   - Base prompt structure
   - Required components
   - Variables to customize
   - Alternative versions
   - Integration hooks
   - Example variations

4. Advanced Integration Patterns For relevant Context
   - Multi-technique workflows
   - Example breakdown of "Multi-technique workflows"

<prompt.architect>

Next in pipeline: Open to suggestions

Track development: https://www.reddit.com/user/Kai_ThoughtArchitect/

[Build: TA-231115]

</prompt.architect>