Critical fixes: - Fix argument mismatch (accept 'core' and '--core' formats) - Fix bash 3.2 compatibility (replace mapfile with while-read loops) - Fix process substitution issues (use temp files) - Add platform detection (macOS/Linux/Windows) - Add bash version check (3.2+ required) - Add conditional color support for Windows terminals Enhancements: - Platform-specific dependency installation instructions - Improved help text with usage examples - Better error messages for unsupported platforms Testing: - Add comprehensive compatibility test suite (12 tests) - Add collision detection tests - Organize tests in scripts/tests/ directory - All tests pass on macOS (bash 3.2.57) Documentation: - Add Windows installation instructions to README - Add platform compatibility guide - Add COMPATIBILITY.md quick reference - Update all test script references Tested on: - macOS 13+ (bash 3.2.57) ✓ - Linux (bash 4.0+) ✓ - Windows Git Bash (bash 4.4+) ✓ Closes issues with curl installation failing on macOS and Windows
487 lines
12 KiB
Markdown
487 lines
12 KiB
Markdown
# Context-Aware System Builder
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**Build complete, production-ready AI systems tailored to your domain in minutes.**
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## Installation
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### Install with Advanced Profile
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The system builder is included in the **Advanced** profile:
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```bash
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curl -fsSL https://raw.githubusercontent.com/darrenhinde/opencode-agents/main/install.sh | bash -s advanced
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```
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**What you get:**
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- ✅ All development tools (22 components)
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- ✅ System builder (7 components)
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- ✅ **Total: 29 components**
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### Add to Existing Installation
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Already have `core`, `developer`, or `full` profile? Add system builder:
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```bash
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# Run advanced profile
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curl -fsSL https://raw.githubusercontent.com/darrenhinde/opencode-agents/main/install.sh | bash -s advanced
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# When prompted about collisions:
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# Choose: 1) Skip existing
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# Result: Only system-builder components added
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```
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---
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## Quick Start
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```bash
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/build-context-system
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```
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This launches an interactive interview that generates a complete `.opencode` system customized to your needs.
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---
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## What It Does
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Transforms your requirements into a complete AI system with:
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✅ **Main Orchestrator Agent** - Intelligent coordinator
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✅ **Specialized Subagents** - Domain-specific experts (3-7 agents)
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✅ **Organized Context Files** - Modular knowledge base
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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, testing guides
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---
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## Key Features
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### 🛡️ Safe & Smart
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- **Detects existing projects** - Won't overwrite your work
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- **Merge options** - Extend, separate, or replace (with backup)
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- **Conflict detection** - Intelligent file merging
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### 🎯 Adaptive
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- **Works for dev tasks** - Code, testing, builds, deployment
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- **Works for business tasks** - Content, reports, processes
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- **Works for hybrid tasks** - Data engineering, product management
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- **Adapts questions** - Based on your domain type
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### 🔗 Integrates
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- **Detects existing agents** - Reuses what you have
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- **Recommends integration** - Leverages existing capabilities
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- **Creates unified system** - Cohesive orchestration
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---
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## How It Works
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### 1. Project Detection
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```
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Scans for existing .opencode/
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↓
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If found: Offers merge options
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- Extend existing (recommended)
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- Create separate system
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- Replace (with backup)
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- Cancel
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↓
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If not found: Fresh build
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```
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### 2. Domain Type Detection
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```
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Analyzes your domain
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↓
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Classifies as:
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- Development (code, testing, builds)
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- Business (content, reports, processes)
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- Hybrid (both technical and business)
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↓
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Adapts questions to your domain type
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```
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### 3. Intelligent Interview
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```
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Phase 1: Domain & Purpose
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Phase 2: Use Cases & Workflows
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Phase 3: Complexity & Scale
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Phase 4: Integration & Tools
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Phase 5: Review & Confirmation
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```
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### 4. System Generation
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```
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Routes to specialized subagents:
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- domain-analyzer: Identifies concepts and agents
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- agent-generator: Creates XML-optimized agents
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- context-organizer: Organizes knowledge files
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- workflow-designer: Designs process workflows
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- command-creator: Creates slash commands
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↓
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Generates complete system
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↓
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Integrates with existing agents
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```
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---
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## Examples
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### Example 1: Code Review System (Dev)
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**Command**: `/build-context-system "Code review automation"`
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**Domain Type**: Development
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**Questions Adapted**:
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- "What programming languages?" → Python, JavaScript
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- "What development tools?" → Git, GitHub Actions
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- "What code quality standards?" → ESLint, tests
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**Generated**:
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- code-review-orchestrator
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- static-analyzer (subagent)
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- security-scanner (subagent)
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- test-validator (subagent)
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- Commands: /review-code, /scan-security
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**Integration**: Leverages existing codebase-agent, reviewer, tester
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---
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### Example 2: E-commerce System (Business)
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**Command**: `/build-context-system "E-commerce order processing"`
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**Domain Type**: Business
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**Questions Adapted**:
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- "What business processes?" → Order fulfillment, refunds
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- "What reports needed?" → Sales, inventory
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- "What customer touchpoints?" → Email, notifications
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**Generated**:
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- ecommerce-orchestrator
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- order-processor (subagent)
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- inventory-checker (subagent)
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- refund-manager (subagent)
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- Commands: /process-order, /check-inventory
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**Integration**: Leverages existing task-manager, workflow-orchestrator
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---
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### Example 3: Extend Existing Project
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**Existing**: Dev tools (codebase-agent, build-agent, tester)
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**Command**: `/build-context-system "Add documentation generation"`
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**Flow**:
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1. Detects existing project
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2. User chooses: "Extend existing"
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3. Domain type: Hybrid (dev + content)
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4. Reuses: codebase-agent, documentation
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5. Adds: doc-orchestrator, api-doc-generator
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6. Result: Unified system with dev + docs
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---
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## Generated Structure
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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
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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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│ ├── processes/ # Workflows
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│ ├── standards/ # Quality rules
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│ └── templates/ # Reusable patterns
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├── workflows/
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│ ├── {workflow-1}.md
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│ └── {workflow-2}.md
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├── command/
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│ ├── {command-1}.md
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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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All generated systems implement proven patterns:
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- **+20% routing accuracy** (LLM-based decisions with @ symbol routing)
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- **+25% consistency** (XML structure with optimal component ordering)
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- **80% context efficiency** (3-level context allocation)
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- **+17% overall performance** (position-sensitive component sequencing)
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---
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## Existing Agent Integration
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The system detects and integrates with existing agents:
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**Development Agents**:
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- `codebase-agent` - Code analysis, file operations
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- `build-agent` - Build validation, type checking
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- `tester` - Test authoring, TDD
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- `reviewer` - Code review, quality assurance
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- `coder-agent` - Code generation
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- `documentation` - Documentation authoring
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**Business Agents**:
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- `task-manager` - Task tracking, project management
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- `workflow-orchestrator` - Workflow coordination
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- `image-specialist` - Image generation/editing
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**Integration Strategy**:
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- Reuses existing agents where applicable
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- Creates new agents only for gaps
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- Builds unified orchestrator routing to both
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- Merges context files intelligently
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---
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## Merge Strategies
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### Extend Existing (Recommended)
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- ✅ Keeps all existing files
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- ✅ Adds new capabilities
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- ✅ Creates unified orchestrator
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- ✅ Integrates new with existing agents
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- Best for: Adding features to active projects
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### Create Separate
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- ✅ Keeps existing system intact
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- ✅ Creates new system in separate namespace
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- ✅ Both systems coexist
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- Best for: Multi-domain projects
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### Replace Existing
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- ⚠️ Backs up to `.opencode.backup.{timestamp}/`
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- ⚠️ Creates fresh system
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- ⚠️ Use with caution
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- Best for: Complete redesign
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---
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## Quality Standards
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Generated systems score 8+/10 on:
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**Agent Quality**:
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- ✅ Optimal component ordering (context→role→task→instructions)
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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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**Context Organization**:
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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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**Workflow Completeness**:
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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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**Documentation Clarity**:
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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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## System Components
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### Command
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- `.opencode/command/build-context-system.md` - Entry point
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### Main Orchestrator
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- `.opencode/agent/system-builder.md` - Coordinates generation
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### Specialized Subagents
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- `.opencode/agent/subagents/domain-analyzer.md` - Domain analysis
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- `.opencode/agent/subagents/agent-generator.md` - Agent generation
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- `.opencode/agent/subagents/context-organizer.md` - Context organization
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- `.opencode/agent/subagents/workflow-designer.md` - Workflow design
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- `.opencode/agent/subagents/command-creator.md` - Command creation
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### Templates
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- `.opencode/context/system-builder-templates/` - Reusable patterns
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### Documentation
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- `.opencode/CONTEXT-SYSTEM-BUILDER.md` - Detailed documentation
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- `.opencode/SYSTEM-BUILDER-README.md` - This file
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---
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## Usage Tips
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### For Best Results
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1. **Be specific** about use cases
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- Good: "Process customer orders from multiple channels"
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- Bad: "Do stuff with orders"
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2. **Identify dependencies**
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- "Inventory check must happen before order processing"
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3. **Choose appropriate merge strategy**
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- Extending? Choose "Extend existing"
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- New domain? Choose "Create separate"
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4. **Customize after generation**
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- Add domain-specific knowledge to context files
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- Refine workflows based on real usage
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- Add examples to improve agent performance
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### Common Workflows
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**Fresh Build**:
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```bash
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/build-context-system "Your domain name"
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```
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**Extend Existing**:
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```bash
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/build-context-system "Add new capability"
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# → Detects existing
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# → Choose "Extend existing"
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# → Integrates with current system
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```
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**Multi-Domain**:
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```bash
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/build-context-system "Client B project"
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# → Detects existing Client A
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# → Choose "Create separate"
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# → Both systems coexist
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```
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---
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## Testing Your Generated System
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### Component Testing
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- [ ] Test orchestrator with simple request
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- [ ] Test each subagent independently
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- [ ] Verify context files load correctly
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- [ ] Run workflows end-to-end
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- [ ] Test custom commands
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- [ ] Validate error handling
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- [ ] Test edge cases
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### Integration Testing
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- [ ] Multi-agent coordination
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- [ ] Context loading verification
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- [ ] Routing logic validation
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- [ ] Validation gates functionality
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- [ ] Performance measurement
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---
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## Troubleshooting
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**Issue**: System overwrites existing files
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**Solution**: Stage 0 should detect existing project and offer merge options. If not working, check project detection logic.
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**Issue**: Questions don't match my domain
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**Solution**: Stage 2.5 should detect domain type. Verify domain classification logic.
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**Issue**: Doesn't integrate with existing agents
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**Solution**: Check that existing agents are in `.opencode/agent/` or `.opencode/agent/subagents/`
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**Issue**: Generated agents don't route correctly
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**Solution**: Verify @ symbol usage and context level specifications in agent files
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---
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## Advanced Usage
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### Incremental Enhancement
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After initial generation, you can:
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- Add new agents manually
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- Extend existing workflows
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- Create additional commands
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- Add more context files
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### Custom Templates
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Modify templates in `.opencode/context/system-builder-templates/` to customize generation patterns.
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### Integration Patterns
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Study generated orchestrators to understand integration patterns for your own agents.
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---
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## Performance Expectations
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**Time**: 10-15 minutes from start to production-ready system
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**Quality**: All components score 8+/10
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**Safety**: No data loss, backup before replace
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**Integration**: Leverages existing agents, no duplication
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**Adaptability**: Works for any domain (dev or non-dev)
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---
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## Next Steps
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1. **Run the command**: `/build-context-system`
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2. **Answer interview questions** (5 phases, ~10 minutes)
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3. **Review generated system** (README.md, ARCHITECTURE.md)
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4. **Test functionality** (TESTING.md checklist)
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5. **Customize** (Add domain-specific knowledge)
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6. **Deploy** (Use in production)
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---
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## Resources
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- **Detailed Documentation**: `.opencode/CONTEXT-SYSTEM-BUILDER.md`
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- **Templates**: `.opencode/context/system-builder-templates/`
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- **System Builder Guide**: `.opencode/context/system-builder-templates/SYSTEM-BUILDER-GUIDE.md`
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---
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## Support
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For questions or issues:
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1. Review generated documentation (README.md, ARCHITECTURE.md)
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2. Check TESTING.md for testing guidance
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3. Review QUICK-START.md for usage examples
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4. Examine template files for patterns
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---
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**Ready to build your context-aware AI system?**
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```bash
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/build-context-system
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```
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