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‎README.md‎

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class I,I1,I2 meta
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```
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## Under Construction
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```python
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Context-Engineering/
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├── LICENSE # MIT license
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├── README.md # Quick-start overview
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├── structure.md # Original structural map
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├── STRUCTURE_v2.md # Enhanced structural map with field theory
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├── context.json # Original schema configuration
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├── context_v2.json # Extended schema with field protocols
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├── context_v3.json # Neural field extensions
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├── context_v3.5.json # Symbolic mechanism integration
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├── CITATIONS.md # Research references and bridges
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│
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├── 00_foundations/ # First-principles theory
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│ ├── 01_atoms_prompting.md # Atomic instruction units
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│ ├── 02_molecules_context.md # Few-shot examples/context
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│ ├── 03_cells_memory.md # Stateful conversation layers
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│ ├── 04_organs_applications.md # Multi-step control flows
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│ ├── 05_cognitive_tools.md # Mental model extensions
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│ ├── 06_advanced_applications.md # Real-world implementations
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│ ├── 07_prompt_programming.md # Code-like reasoning patterns
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│ ├── 08_neural_fields_foundations.md # Context as continuous fields
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│ ├── 09_persistence_and_resonance.md # Field dynamics and attractors
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│ ├── 10_field_orchestration.md # Coordinating multiple fields
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│ ├── 11_emergence_and_attractor_dynamics.md # Emergent properties
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│ │── 12_symbolic_mechanisms.md # Symbolic reasoning in LLMs
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│ ├── 13_quantum_semantics.md # Multiple meanings (Superposition)
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│ └── 14_unified_field_theory.md # Integrating theory models
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│
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├── 10_guides_zero_to_hero/ # Hands-on tutorials
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│ ├── 01_min_prompt.ipynb # Minimal prompt experiments
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│ ├── 02_expand_context.ipynb # Context expansion techniques
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│ ├── 03_control_loops.ipynb # Flow control mechanisms
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│ ├── 04_rag_recipes.ipynb # Retrieval-augmented patterns
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│ ├── 05_protocol_bootstrap.ipynb # Field protocol bootstrap
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│ ├── 06_protocol_token_budget.ipynb # Protocol efficiency
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│ ├── 07_streaming_context.ipynb # Real-time context
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│ ├── 08_emergence_detection.ipynb # Detecting emergence
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│ ├── 09_residue_tracking.ipynb # Tracking symbolic residue
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│ └── 10_attractor_formation.ipynb # Creating field attractors
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│
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├── 20_templates/ # Reusable components
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│ ├── minimal_context.yaml # Base context structure
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│ ├── control_loop.py # Orchestration template
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│ ├── scoring_functions.py # Evaluation metrics
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│ ├── prompt_program_template.py # Program structure template
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│ ├── schema_template.yaml # Schema definition template
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│ ├── recursive_framework.py # Recursive context template
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│ ├── field_protocol_shells.py # Field protocol templates
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│ ├── symbolic_residue_tracker.py # Residue tracking tools
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│ ├── context_audit.py # Context analysis tool
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│ ├── shell_runner.py # Protocol shell runner
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│ ├── resonance_measurement.py # Field resonance metrics
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│ ├── attractor_detection.py # Attractor analysis tools
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│ ├── boundary_dynamics.py # Boundary operation tools
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│ └── emergence_metrics.py # Emergence measurement
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│
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├── 30_examples/ # Practical implementations
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│ ├── 00_toy_chatbot/ # Simple conversation agent
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│ ├── 01_data_annotator/ # Data labeling system
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│ ├── 02_multi_agent_orchestrator/ # Agent collaboration system
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│ ├── 03_vscode_helper/ # IDE integration
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│ ├── 04_rag_minimal/ # Minimal RAG implementation
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│ ├── 05_streaming_window/ # Real-time context demo
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│ ├── 06_residue_scanner/ # Symbolic residue demo
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│ ├── 07_attractor_visualizer/ # Field visualization
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│ ├── 08_field_protocol_demo/ # Protocol demonstration
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│ └── 09_emergence_lab/ # Emergence experimentation
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│
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├── 40_reference/ # Deep-dive documentation
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│ ├── token_budgeting.md # Token optimization strategies
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│ ├── retrieval_indexing.md # Retrieval system design
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│ ├── eval_checklist.md # PR evaluation criteria
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│ ├── cognitive_patterns.md # Reasoning pattern catalog
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│ ├── schema_cookbook.md # Schema pattern collection
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│ ├── patterns.md # Context pattern library
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│ ├── field_mapping.md # Field theory fundamentals
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│ ├── symbolic_residue_types.md # Residue classification
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│ ├── attractor_dynamics.md # Attractor theory and practice
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│ ├── emergence_signatures.md # Detecting emergence
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│ └── boundary_operations.md # Boundary management guide
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│
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├── 50_contrib/ # Community contributions
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│ └── README.md # Contribution guidelines
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│
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├── 60_protocols/ # Protocol shells and frameworks
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│ ├── README.md # Protocol overview
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│ ├── shells/ # Protocol shell definitions
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│ │ ├── attractor.co.emerge.shell # Attractor co-emergence
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│ │ ├── recursive.emergence.shell # Recursive field emergence
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│ │ ├── recursive.memory.attractor.shell # Memory persistence
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│ │ ├── field.resonance.scaffold.shell # Field resonance
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│ │ ├── field.self_repair.shell # Self-repair mechanisms
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│ │ └── context.memory.persistence.attractor.shell # Context persistence
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│ ├── digests/ # Simplified protocol documentation
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│ └── schemas/ # Protocol schemas
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│ ├── fractalRepoContext.v3.5.json # Repository context
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│ ├── fractalConsciousnessField.v1.json # Field schema
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│ ├── protocolShell.v1.json # Shell schema
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│ ├── symbolicResidue.v1.json # Residue schema
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│ └── attractorDynamics.v1.json # Attractor schema
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│
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├── 70_agents/ # Agent demonstrations
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│ ├── README.md # Agent overview
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│ ├── 01_residue_scanner/ # Symbolic residue detection
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│ ├── 02_self_repair_loop/ # Self-repair protocol
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│ ├── 03_attractor_modulator/ # Attractor dynamics
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│ ├── 04_boundary_adapter/ # Dynamic boundary tuning
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│ └── 05_field_resonance_tuner/ # Field resonance optimization
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│
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├── 80_field_integration/ # Complete field projects
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│ ├── README.md # Integration overview
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│ ├── 00_protocol_ide_helper/ # Protocol development tools
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│ ├── 01_context_engineering_assistant/ # Field-based assistant
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│ ├── 02_recursive_reasoning_system/ # Recursive reasoning
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│ ├── 03_emergent_field_laboratory/ # Field experimentation
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│ └── 04_symbolic_reasoning_engine/ # Symbolic mechanisms
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│
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├── cognitive-tools/ # Advanced cognitive framework
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│ ├── README.md # Overview and quick-start guide
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│ ├── cognitive-templates/ # Templates for reasoning
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│ │ ├── understanding.md # Comprehension operations
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│ │ ├── reasoning.md # Analytical operations
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│ │ ├── verification.md # Checking and validation
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│ │ ├── composition.md # Combining multiple tools
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│ │ └── emergence.md # Emergent reasoning patterns
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│ │
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│ ├── cognitive-programs/ # Structured prompt programs
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│ │ ├── basic-programs.md # Fundamental program structures
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│ │ ├── advanced-programs.md # Complex program architectures
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│ │ ├── program-library.py # Python implementations
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│ │ ├── program-examples.ipynb # Interactive examples
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│ │ └── emergence-programs.md # Emergent program patterns
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│ │
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│ ├── cognitive-schemas/ # Knowledge representations
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│ │ ├── user-schemas.md # User information schemas
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│ │ ├── domain-schemas.md # Domain knowledge schemas
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│ │ ├── task-schemas.md # Reasoning task schemas
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│ │ ├── schema-library.yaml # Reusable schema library
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│ │ └── field-schemas.md # Field representation schemas
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│ │
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│ ├── cognitive-architectures/ # Complete reasoning systems
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│ │ ├── solver-architecture.md # Problem-solving systems
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│ │ ├── tutor-architecture.md # Educational systems
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│ │ ├── research-architecture.md # Information synthesis
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│ │ ├── architecture-examples.py # Implementation examples
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│ │ └── field-architecture.md # Field-based architectures
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│ │
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│ └── integration/ # Integration patterns
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│ ├── with-rag.md # Integration with retrieval
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│ ├── with-memory.md # Integration with memory
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│ ├── with-agents.md # Integration with agents
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│ ├── evaluation-metrics.md # Effectiveness measurement
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│ └── with-fields.md # Integration with field protocols
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│
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└── .github/ # GitHub configuration
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├── CONTRIBUTING.md # Contribution guidelines
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├── workflows/ci.yml # CI pipeline configuration
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├── workflows/eval.yml # Evaluation automation
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└── workflows/protocol_tests.yml # Protocol testing
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```
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## Quick Start
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1. **Read [`00_foundations/01_atoms_prompting.md`](00_foundations/01_atoms_prompting.md)** (5 min)

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