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+# Context-Aware System Builder
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+
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+**Build complete, production-ready AI systems tailored to your domain in minutes.**
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+
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+## Overview
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+
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+The Context-Aware System Builder is a sophisticated meta-system that generates complete `.opencode` folder architectures customized to your specific domain, use cases, and requirements. It combines prompt-enhancer techniques with comprehensive context-aware system design principles to create production-ready AI systems.
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+
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+## What It Does
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+
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+Transforms your requirements into a complete AI system with:
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+
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+✅ **Main Orchestrator Agent** - Intelligent coordinator that analyzes requests and routes to specialists
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+✅ **Specialized Subagents** - Domain-specific experts (3-7 agents)
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+✅ **Organized Context Files** - Modular knowledge base (domain/processes/standards/templates)
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+✅ **Workflow Definitions** - Reusable process patterns
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+✅ **Custom Slash Commands** - User-friendly interfaces
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+✅ **Complete Documentation** - README, architecture guide, testing checklist, quick start
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+
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+## Quick Start
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+
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+```bash
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+/build-context-system
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+```
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+
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+This launches an interactive interview (5-10 minutes) that guides you through defining your system.
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+
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+## System Components
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+
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+### 1. Slash Command: `/build-context-system`
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+
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+**Location**: `.opencode/command/build-context-system.md`
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+
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+**Purpose**: Interactive interview that gathers requirements and coordinates system generation
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+
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+**Process**:
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+1. **Domain & Purpose** (2-3 questions)
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+2. **Use Cases & Workflows** (3-4 questions)
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+3. **Complexity & Scale** (2-3 questions)
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+4. **Integration & Tools** (2-3 questions)
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+5. **Review & Confirmation**
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+
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+### 2. Main Orchestrator: `system-builder`
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+
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+**Location**: `.opencode/agent/system-builder.md`
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+
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+**Purpose**: Coordinates specialized subagents to generate complete systems
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+
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+**Workflow**:
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+1. Analyze requirements from interview
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+2. Route to domain-analyzer for deep analysis
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+3. Plan complete architecture
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+4. Generate agents (via agent-generator)
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+5. Organize context (via context-organizer)
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+6. Design workflows (via workflow-designer)
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+7. Create commands (via command-creator)
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+8. Generate documentation
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+9. Validate system quality
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+10. Deliver production-ready system
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+
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+### 3. Specialized Subagents
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+
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+#### `domain-analyzer`
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+**Location**: `.opencode/agent/subagents/domain-analyzer.md`
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+
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+**Purpose**: Analyzes user domains to identify core concepts, recommended agents, and context structure
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+
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+**Inputs**:
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+- Domain profile (name, industry, purpose, users)
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+- Use cases with complexity levels
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+- Initial agent specifications
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+
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+**Outputs**:
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+- Core concepts and terminology
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+- Recommended agent specializations
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+- Context file structure
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+- Knowledge graph
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+- Domain analysis report
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+
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+#### `agent-generator`
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+**Location**: `.opencode/agent/subagents/agent-generator.md`
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+
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+**Purpose**: Generates XML-optimized agent files following research-backed patterns
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+
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+**Inputs**:
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+- Architecture plan with agent specs
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+- Domain analysis
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+- Workflow definitions
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+- Routing patterns
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+
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+**Outputs**:
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+- Complete orchestrator agent file
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+- All specialized subagent files
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+- Validation report with quality scores
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+
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+**Optimizations Applied**:
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+- Optimal component ordering (context→role→task→instructions)
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+- Hierarchical context structure
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+- @ symbol routing patterns
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+- 3-level context allocation
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+- Validation gates and checkpoints
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+
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+#### `context-organizer`
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+**Location**: `.opencode/agent/subagents/context-organizer.md`
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+
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+**Purpose**: Organizes and generates context files in modular 50-200 line files
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+
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+**Inputs**:
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+- Architecture plan context structure
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+- Domain analysis (concepts, rules, terminology)
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+- Use cases for process documentation
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+- Standards requirements
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+
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+**Outputs**:
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+- Domain knowledge files (core-concepts.md, business-rules.md, etc.)
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+- Process files (workflows, integrations, escalations)
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+- Standards files (quality-criteria.md, validation-rules.md, error-handling.md)
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+- Template files (output-formats.md, common-patterns.md)
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+- Context README guide
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+
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+#### `workflow-designer`
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+**Location**: `.opencode/agent/subagents/workflow-designer.md`
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+
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+**Purpose**: Designs complete workflow definitions with context dependencies
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+
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+**Inputs**:
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+- Workflow specifications
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+- Use cases with complexity
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+- Available agents
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+- Context files
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+
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+**Outputs**:
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+- Complete workflow files with stages
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+- Context dependency maps
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+- Workflow selection logic
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+- Success criteria and metrics
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+
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+#### `command-creator`
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+**Location**: `.opencode/agent/subagents/command-creator.md`
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+
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+**Purpose**: Creates custom slash commands with clear syntax and examples
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+
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+**Inputs**:
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+- Command specifications
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+- Available agents
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+- Available workflows
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+- Use case examples
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+
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+**Outputs**:
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+- Command files with routing
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+- Syntax documentation
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+- Concrete examples (3+ per command)
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+- Command usage guide
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+
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+### 4. Template Library
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+
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+**Location**: `.opencode/context/system-builder-templates/`
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+
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+**Contents**:
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+- `orchestrator-template.md` - Main coordinator pattern
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+- `subagent-template.md` - Specialized agent pattern
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+- `README.md` - Template library guide
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+- `SYSTEM-BUILDER-GUIDE.md` - Complete usage guide
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+
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+**Purpose**: Provides reusable XML patterns for consistent, high-quality generation
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+
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+## Architecture
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+
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+### Hierarchical Coordination Pattern
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+
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+```
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+User runs /build-context-system
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+ ↓
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+ Interview Process
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+ ↓
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+ system-builder (orchestrator)
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+ ↓
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+ ┌────┴────┬────────┬────────┬────────┐
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+ ↓ ↓ ↓ ↓ ↓
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+domain- agent- context- workflow- command-
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+analyzer generator organizer designer creator
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+ ↓ ↓ ↓ ↓ ↓
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+ └─────────┴────────┴────────┴────────┘
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+ ↓
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+ Complete .opencode System
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+```
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+
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+### Context Flow
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+
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+**Level 1: Complete Isolation (80% of generation tasks)**
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+- Used for: domain-analyzer, command-creator
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+- Context: Task specification only
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+- Efficiency: 80% reduction in overhead
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+
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+**Level 2: Filtered Context (20% of generation tasks)**
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+- Used for: agent-generator, context-organizer, workflow-designer
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+- Context: Architecture plan + domain analysis + relevant specs
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+- Efficiency: 60% reduction in overhead
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+
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+**Level 3: Windowed Context (Never used in generation)**
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+- System generation is stateless
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+
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+## Generated System Structure
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+
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+```
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+.opencode/
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+├── agent/
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+│ ├── {domain}-orchestrator.md # Main coordinator
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+│ └── subagents/
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+│ ├── {specialist-1}.md # Domain-specific agents
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+│ ├── {specialist-2}.md
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+│ └── {specialist-3}.md
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+├── context/
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+│ ├── domain/ # Core knowledge
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+│ │ ├── core-concepts.md
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+│ │ ├── terminology.md
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+│ │ ├── business-rules.md
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+│ │ └── data-models.md
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+│ ├── processes/ # Workflows
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+│ │ ├── standard-workflow.md
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+│ │ ├── integration-patterns.md
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+│ │ ├── edge-cases.md
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+│ │ └── escalation-paths.md
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+│ ├── standards/ # Quality rules
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+│ │ ├── quality-criteria.md
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+│ │ ├── validation-rules.md
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+│ │ └── error-handling.md
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+│ ├── templates/ # Reusable patterns
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+│ │ ├── output-formats.md
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+│ │ └── common-patterns.md
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+│ └── README.md # Context guide
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+├── workflows/
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+│ ├── {workflow-1}.md # Process definitions
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+│ ├── {workflow-2}.md
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+│ └── README.md # Workflow guide
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+├── command/
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+│ ├── {command-1}.md # Slash commands
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+│ └── {command-2}.md
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+├── README.md # System overview
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+├── ARCHITECTURE.md # Architecture guide
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+├── TESTING.md # Testing checklist
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+└── QUICK-START.md # Usage examples
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+```
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+
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+## Research-Backed Optimizations
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+
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+All generated systems implement proven patterns:
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+
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+### XML Structure (Anthropic Research)
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+- Optimal component ordering: context→role→task→instructions
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+- Hierarchical context: system→domain→task→execution
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+- Semantic XML tags for clarity
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+- **Result**: +25% consistency improvement
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+
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+### Position-Sensitive Prompting (Stanford Research)
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+- Component ratios: context 15-25%, instructions 40-50%, etc.
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+- Optimal sequence for maximum performance
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+- **Result**: +12-17% performance gain
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+
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+### LLM-Based Routing (Multi-Agent Research)
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+- @ symbol routing pattern for subagents
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+- Context level specification for each route
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+- Manager-worker coordination pattern
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+- **Result**: +20% routing accuracy
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+
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+### Dynamic Context Allocation (Efficiency Research)
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+- 3-level context system (isolation/filtered/windowed)
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+- 80% of tasks use Level 1 (minimal context)
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+- Selective loading based on needs
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+- **Result**: 80% reduction in context overhead
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+
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+### Combined Performance Gains
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+- **Routing Accuracy**: +20%
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+- **Consistency**: +25%
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+- **Context Efficiency**: 80% reduction
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+- **Overall Performance**: +17% improvement
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+
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+## Usage Examples
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+
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+### Example 1: E-commerce System
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+
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+```bash
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+/build-context-system
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+```
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+
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+**Interview Responses**:
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+- Domain: E-commerce Order Management
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+- Purpose: Automate order processing and fulfillment
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+- Users: Operations team, customer service
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+- Use Cases:
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+ - Process customer orders (moderate complexity)
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+ - Check inventory availability (simple)
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+ - Handle refunds and returns (moderate)
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+ - Generate shipping labels (simple)
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+- Agents: 4-5 specialized agents
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+- Integrations: Stripe, Shippo, inventory database
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+
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+**Generated System**:
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+- **Orchestrator**: `ecommerce-orchestrator`
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+- **Subagents**: `order-processor`, `inventory-checker`, `payment-handler`, `shipping-calculator`, `refund-manager`
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+- **Workflows**: `simple-order`, `complex-order`, `refund-process`
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+- **Commands**: `/process-order`, `/check-inventory`, `/process-refund`, `/generate-label`
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+- **Context Files**: 12 files (product-catalog, pricing-rules, inventory-policies, order-fulfillment, etc.)
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+
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+### Example 2: Data Pipeline System
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+
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+```bash
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+/build-context-system
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+```
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+
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+**Interview Responses**:
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+- Domain: Data Engineering
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+- Purpose: ETL pipeline automation with quality validation
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+- Users: Data engineers, analysts
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+- Use Cases:
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+ - Extract data from sources (moderate)
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+ - Transform with business logic (complex)
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+ - Validate data quality (moderate)
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+ - Load to destinations (simple)
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+- Agents: 4 specialized agents
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+- Integrations: PostgreSQL, S3, Snowflake
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+
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+**Generated System**:
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+- **Orchestrator**: `data-pipeline-orchestrator`
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+- **Subagents**: `data-extractor`, `transformation-engine`, `quality-validator`, `data-loader`
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+- **Workflows**: `standard-etl`, `complex-transformation`, `data-quality-check`
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+- **Commands**: `/run-pipeline`, `/validate-data`, `/transform-data`
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+- **Context Files**: 10 files (data-models, transformation-rules, quality-standards, etc.)
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+
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+### Example 3: Content Creation System
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+
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+```bash
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+/build-context-system
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+```
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+
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+**Interview Responses**:
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+- Domain: Content Marketing
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+- Purpose: Multi-platform content creation with quality validation
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+- Users: Content creators, marketers
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+- Use Cases:
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+ - Research topics (moderate)
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+ - Generate content (complex)
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+ - Validate quality (moderate)
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+ - Publish to platforms (simple)
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+- Agents: 5 specialized agents
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+- Integrations: Twitter API, LinkedIn API, WordPress
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+
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+**Generated System**:
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+- **Orchestrator**: `content-orchestrator`
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+- **Subagents**: `research-assistant`, `content-generator`, `quality-validator`, `platform-formatter`, `publisher`
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+- **Workflows**: `research-enhanced`, `multi-platform`, `quick-post`
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+- **Commands**: `/create-content`, `/research-topic`, `/validate-content`, `/publish`
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+- **Context Files**: 14 files (brand-voice, platform-specs, quality-standards, content-templates, etc.)
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+
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+## Quality Standards
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+
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+Generated systems must meet these criteria:
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+
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+### Agent Quality (8+/10)
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+- ✅ Optimal component ordering
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+- ✅ Hierarchical context structure
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+- ✅ @ symbol routing with context levels
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+- ✅ Clear workflow stages with checkpoints
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+- ✅ Validation gates (pre_flight and post_flight)
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+
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+### Context Organization (8+/10)
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+- ✅ Files are 50-200 lines (modular)
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+- ✅ Clear separation of concerns
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+- ✅ No duplication across files
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+- ✅ Dependencies documented
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+- ✅ Concrete examples included
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+
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+### Workflow Completeness (8+/10)
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+- ✅ Clear stages with prerequisites
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+- ✅ Context dependencies mapped
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+- ✅ Success criteria defined
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+- ✅ Decision points documented
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+- ✅ Error handling specified
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+
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+### Documentation Clarity (8+/10)
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+- ✅ Comprehensive README
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+- ✅ Clear architecture guide
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+- ✅ Actionable testing checklist
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+- ✅ Relevant usage examples
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+- ✅ Next steps provided
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+
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+## Testing Generated Systems
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+
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+### Component Testing
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+1. Test orchestrator with simple request
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+2. Test each subagent independently
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+3. Verify context files load correctly
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+4. Run workflows end-to-end
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+5. Test custom commands
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+6. Validate error handling
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+7. Test edge cases
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+
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+### Integration Testing
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+1. Multi-agent coordination
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+2. Context loading verification
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+3. Routing logic validation
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+4. Validation gates functionality
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+5. Performance measurement
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+
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+### Quality Validation
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+- Agent quality scores
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+- Context organization scores
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+- Workflow completeness scores
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+- Documentation clarity scores
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+- Overall system score (must be 8+/10)
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+
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+## Customization
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+
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+After generation, customize:
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+
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+1. **Context Files**: Add domain-specific knowledge
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+2. **Workflows**: Adjust based on real usage
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+3. **Validation Criteria**: Refine quality standards
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+4. **Agent Prompts**: Add examples and edge cases
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+5. **Commands**: Create additional slash commands
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+
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+## Best Practices
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+
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+### For Interviews
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+- Be specific about use cases
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+- Provide concrete examples
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+- Identify dependencies between tasks
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+- Think about edge cases
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+- Consider integration needs
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|
|
+
|
|
|
+### For Generated Systems
|
|
|
+- Start with simple use cases
|
|
|
+- Test thoroughly before production
|
|
|
+- Customize context with real knowledge
|
|
|
+- Monitor performance and iterate
|
|
|
+- Document learnings and patterns
|
|
|
+
|
|
|
+### For Context Management
|
|
|
+- Keep files focused (50-200 lines)
|
|
|
+- Use clear, descriptive names
|
|
|
+- Avoid duplication
|
|
|
+- Document dependencies
|
|
|
+- Include concrete examples
|
|
|
+
|
|
|
+### For Performance
|
|
|
+- Use Level 1 context for 80% of tasks
|
|
|
+- Only use Level 2 when domain knowledge needed
|
|
|
+- Rarely use Level 3 (complex coordination only)
|
|
|
+- Load context selectively
|
|
|
+- Monitor efficiency metrics
|
|
|
+
|
|
|
+## Troubleshooting
|
|
|
+
|
|
|
+### Common Issues
|
|
|
+
|
|
|
+**Issue**: Interview doesn't capture all requirements
|
|
|
+**Solution**: You can revise before generation or customize after
|
|
|
+
|
|
|
+**Issue**: Generated agents don't route correctly
|
|
|
+**Solution**: Check @ symbol usage and context level specifications in agent files
|
|
|
+
|
|
|
+**Issue**: Context files are too large
|
|
|
+**Solution**: Split into smaller, focused files (target 50-200 lines)
|
|
|
+
|
|
|
+**Issue**: Workflows are unclear
|
|
|
+**Solution**: Add more detailed steps and examples in workflow files
|
|
|
+
|
|
|
+**Issue**: Commands don't work as expected
|
|
|
+**Solution**: Verify agent routing in command frontmatter
|
|
|
+
|
|
|
+## Files Created
|
|
|
+
|
|
|
+### Command
|
|
|
+- `.opencode/command/build-context-system.md` - Interactive interview command
|
|
|
+
|
|
|
+### Agents
|
|
|
+- `.opencode/agent/system-builder.md` - Main orchestrator
|
|
|
+- `.opencode/agent/subagents/domain-analyzer.md` - Domain analysis specialist
|
|
|
+- `.opencode/agent/subagents/agent-generator.md` - Agent file generator
|
|
|
+- `.opencode/agent/subagents/context-organizer.md` - Context file organizer
|
|
|
+- `.opencode/agent/subagents/workflow-designer.md` - Workflow designer
|
|
|
+- `.opencode/agent/subagents/command-creator.md` - Command creator
|
|
|
+
|
|
|
+### Templates
|
|
|
+- `.opencode/context/system-builder-templates/README.md` - Template guide
|
|
|
+- `.opencode/context/system-builder-templates/orchestrator-template.md` - Orchestrator pattern
|
|
|
+- `.opencode/context/system-builder-templates/subagent-template.md` - Subagent pattern
|
|
|
+- `.opencode/context/system-builder-templates/SYSTEM-BUILDER-GUIDE.md` - Complete usage guide
|
|
|
+
|
|
|
+### Documentation
|
|
|
+- `.opencode/CONTEXT-SYSTEM-BUILDER.md` - This file
|
|
|
+
|
|
|
+## Next Steps
|
|
|
+
|
|
|
+1. **Try it out**: Run `/build-context-system`
|
|
|
+2. **Review generated system**: Check README.md and ARCHITECTURE.md
|
|
|
+3. **Test functionality**: Follow TESTING.md checklist
|
|
|
+4. **Customize**: Add your domain-specific knowledge
|
|
|
+5. **Iterate**: Refine based on real usage
|
|
|
+
|
|
|
+## Resources
|
|
|
+
|
|
|
+- **Templates**: `.opencode/context/system-builder-templates/`
|
|
|
+- **Guide**: `.opencode/context/system-builder-templates/SYSTEM-BUILDER-GUIDE.md`
|
|
|
+- **Examples**: See generated systems for reference
|
|
|
+- **Patterns**: Review template files for best practices
|
|
|
+
|
|
|
+---
|
|
|
+
|
|
|
+**Ready to build your context-aware AI system?**
|
|
|
+
|
|
|
+```bash
|
|
|
+/build-context-system
|
|
|
+```
|
|
|
+
|
|
|
+**Questions?** Review the comprehensive guide at:
|
|
|
+`.opencode/context/system-builder-templates/SYSTEM-BUILDER-GUIDE.md`
|