Add GitHub Copilot repository instructions

- Created comprehensive .github/copilot-instructions.md
- Provides project overview, architecture, and coding standards
- Includes TypeScript guidelines and security requirements
- Documents key libraries, patterns, and Phase 1 priorities
- Enables GitHub Copilot coding agent with repository context

Author: mfittko

.github/copilot-instructions.md

@@ -0,0 +1,178 @@
+# GitHub Copilot Instructions
+
+## Project Overview
+
+Agents CLI is a multi-agent workflow engine for agentic IDEs built with TypeScript. The project enables IDEs to dynamically create and execute sophisticated multi-agent workflows through JSON configuration. It uses the OpenAI Agents SDK and provides both CLI and MCP (Model Context Protocol) server interfaces.
+
+## Current Status
+
+**Phase 1 Development** - Building foundation and core functionality:
+- Basic project structure with TypeScript
+- Configuration system with JSON schemas
+- MCP server implementation for IDE integration
+- OpenAI Agents SDK integration
+- Security framework with sandboxing
+
+## Architecture
+
+### Core Components
+- **CLI Interface**: Command-line tool using Commander.js
+- **MCP Server**: Model Context Protocol server for IDE integration
+- **Configuration System**: JSON-based agent and workflow definitions with Zod validation
+- **Security Layer**: Tool execution sandboxing and access controls
+- **Agent Engine**: OpenAI Agents SDK integration for workflow execution
+
+### Directory Structure
+```
+src/
+├── cli/          # Command-line interface implementation
+├── config/       # Configuration loading and validation
+├── agents/       # Agent creation and management
+├── mcp/          # Model Context Protocol server
+└── workflows/    # Workflow execution engine
+```
+
+## Coding Standards
+
+### TypeScript Guidelines
+- Use strict TypeScript configuration with comprehensive type checking
+- Prefer interfaces over type aliases for object shapes
+- Use Zod for runtime validation and schema definition
+- Include comprehensive JSDoc comments for public APIs
+- Export types and interfaces from barrel exports (index.ts files)
+
+### Code Style
+- Use ESLint + Prettier for consistent formatting
+- Prefer async/await over Promise chains
+- Use descriptive variable and function names
+- Include error handling for all async operations
+- Follow functional programming patterns where appropriate
+
+### Security Requirements
+- Never log or expose API keys or sensitive credentials
+- Implement proper input validation for all user inputs
+- Use sandboxing for tool execution
+- Validate file system access restrictions
+- Include audit logging for security-sensitive operations
+
+## Key Libraries and Frameworks
+
+### Core Dependencies
+- **OpenAI Agents SDK**: Agent creation and orchestration
+- **Commander.js**: CLI framework and command parsing
+- **Zod**: Schema validation and type inference
+- **Model Context Protocol**: IDE integration protocol
+
+### Development Tools
+- **TypeScript**: Primary language with strict configuration
+- **Jest**: Testing framework with comprehensive coverage
+- **ESLint + Prettier**: Code quality and formatting
+- **GitHub Actions**: CI/CD pipeline
+
+## Development Patterns
+
+### Configuration Loading
+```typescript
+// Use Zod schemas for validation
+const AgentConfigSchema = z.object({
+  name: z.string(),
+  instructions: z.string(),
+  model: z.string(),
+  tools: z.array(z.string())
+});
+
+// Validate and parse configuration
+const config = AgentConfigSchema.parse(userInput);
+```
+
+### Error Handling
+```typescript
+// Use Result pattern or proper error types
+try {
+  const result = await riskyOperation();
+  return { success: true, data: result };
+} catch (error) {
+  logger.error('Operation failed', { error });
+  return { success: false, error: error.message };
+}
+```
+
+### MCP Tool Registration
+```typescript
+// Implement MCP tools with proper typing
+interface MCPTool {
+  name: string;
+  description: string;
+  inputSchema: z.ZodSchema;
+  handler: (input: unknown) => Promise<unknown>;
+}
+```
+
+## Testing Strategy
+
+### Test Categories
+- **Unit Tests**: Individual components and functions
+- **Integration Tests**: CLI → MCP → SDK → Agent workflows
+- **Security Tests**: Sandbox effectiveness and credential protection
+- **Performance Tests**: Startup time (<2s) and execution time (<30s)
+
+### Test Structure
+```typescript
+describe('ComponentName', () => {
+  beforeEach(() => {
+    // Setup test environment
+  });
+
+  it('should handle expected case', async () => {
+    // Test implementation
+  });
+
+  it('should handle error cases gracefully', async () => {
+    // Error scenario testing
+  });
+});
+```
+
+## Build and Validation Commands
+
+```bash
+# Development setup
+npm install
+npm run dev
+
+# Code quality
+npm run lint
+npm run typecheck
+npm test
+
+# Build for production
+npm run build
+```
+
+## IDE Integration Notes
+
+The project is designed to work with:
+- **Cursor**: Primary IDE with MCP protocol support
+- **VS Code**: MCP extension integration
+- **Claude Code**: CLI integration for workflow execution
+
+When implementing MCP server functionality, ensure compatibility with IDE expectations for tool registration, result formatting, and error handling.
+
+## Security Considerations
+
+- All tool execution must go through security validation
+- API keys should be loaded from environment variables only
+- File system access must respect configured security policies
+- Network requests should be validated and logged
+- Never commit secrets or API keys to the repository
+
+## Phase 1 Priorities
+
+Focus development on:
+1. **CLI Foundation**: Basic command structure and configuration loading
+2. **MCP Server**: Core protocol implementation with tool registration
+3. **Single Agent Execution**: Basic OpenAI SDK integration
+4. **Security Framework**: Safe tool execution with proper sandboxing
+5. **Testing Infrastructure**: Comprehensive test coverage
+
+Defer advanced multi-agent workflows, complex orchestration patterns, and performance optimizations to later phases.