Core Features

SkinFlow provides a comprehensive set of features for building intelligent multi-agent applications. This guide explores the core capabilities that make SkinFlow powerful and flexible.

🧠 Multi-Agent System

Planning Agent

The Planning Agent automatically decomposes complex tasks into manageable subtasks:

// The Planning Agent analyzes requests and creates execution plans
const result = await framework.processRequest(
  "Create a comprehensive e-commerce website with user authentication",
  { userId: 'user123' }
)

// The agent will:
// 1. Analyze the requirements
// 2. Break down into subtasks (database design, frontend, backend, etc.)
// 3. Assign appropriate agents to each subtask
// 4. Coordinate the execution

Specialized Sub-Agents

SkinFlow includes specialized agents for different domains:

• Research Agent: Gather information and conduct analysis
• Programming Agent: Write, review, and debug code
• Data Analysis Agent: Process and analyze data
• Content Creation Agent: Generate written content and media
• Design Agent: Create UI/UX designs and graphics

Agent Coordination

Agents work together through a sophisticated coordination system:

// Agents can collaborate on complex tasks
const collaboration = await framework.processRequest(
  "Research market trends and create a business plan with financial projections",
  { userId: 'user123' }
)

// Multiple agents will work together:
// - Research Agent: Gather market data
// - Data Analysis Agent: Analyze trends
// - Content Creation Agent: Write business plan
// - Programming Agent: Create financial models

💾 Advanced Memory System

Short-term Memory

Maintains context during active sessions:

// Configure short-term memory
const framework = await createMultiAgentFramework({
  memory: {
    storage: {
      type: 'memory'
    },
    maxShortTermMemory: 100, // Maximum context items
    contextWindow: 4000     // Context token limit
  }
})

Long-term Memory

Persistent storage for knowledge and history:

// PostgreSQL-based long-term memory
const framework = await createMultiAgentFramework({
  memory: {
    storage: {
      type: 'postgres',
      config: {
        host: 'localhost',
        database: 'skingflow',
        user: 'postgres',
        password: 'your-password'
      }
    },
    // Memory retention settings
    maxLongTermMemory: 10000,
    memoryTTL: 30 * 24 * 60 * 60 * 1000 // 30 days
  }
})

Semantic Search

Vector-based intelligent memory retrieval:

// Agents can search through past interactions
const relevantMemories = await framework.memory.search(
  "user preferences for dark theme",
  { userId: 'user123', limit: 5 }
)

User Preferences

Learns and adapts to user preferences:

// Preferences are automatically learned and stored
await framework.processRequest(
  "I prefer concise responses with bullet points",
  { userId: 'user123' }
)

// Future responses will adapt to this preference

🛠️ Unified Tool System

Built-in Tools

SkinFlow includes a comprehensive set of built-in tools:

// File system operations
await framework.processRequest(
  "Create a backup of the project directory",
  { userId: 'user123' }
)

// Web operations
await framework.processRequest(
  "Research the latest AI trends and summarize findings",
  { userId: 'user123' }
)

// Data processing
await framework.processRequest(
  "Analyze the sales data and create a visualization",
  { userId: 'user123' }
)

Custom Tools

Extend functionality with custom tools:

// Define custom tools
const customTools = [
  {
    name: 'send_email',
    description: 'Send an email using SMTP',
    parameters: {
      type: 'object',
      properties: {
        to: { type: 'string', description: 'Recipient email' },
        subject: { type: 'string', description: 'Email subject' },
        body: { type: 'string', description: 'Email body' }
      },
      required: ['to', 'subject', 'body']
    },
    handler: async (params) => {
      // Your email sending implementation
      return { success: true, message: 'Email sent successfully' }
    }
  }
]

const framework = await createMultiAgentFramework({
  tools: { customTools }
})

Tool Security

Secure tool execution with permission control:

// Configure tool permissions
const framework = await createMultiAgentFramework({
  tools: {
    security: {
      enableSandbox: true,
      allowedOperations: ['read', 'write'],
      restrictedPaths: ['/etc', '/system']
    }
  }
})

🔄 Stream Processing Engine

Real-time Processing

Process requests with streaming output:

// Stream responses in real-time
const stream = await framework.processRequestStream(
  "Write a detailed analysis of current AI trends",
  { userId: 'user123' }
)

for await (const chunk of stream) {
  console.log(chunk.content) // Real-time output
}

Asynchronous Execution

Run multiple tasks concurrently:

// Execute multiple requests in parallel
const results = await Promise.all([
  framework.processRequest("Task 1", { userId: 'user123' }),
  framework.processRequest("Task 2", { userId: 'user123' }),
  framework.processRequest("Task 3", { userId: 'user123' })
])

Workflow Orchestration

Complex workflow management:

// Define complex workflows
const workflow = {
  steps: [
    {
      name: 'research',
      agent: 'research',
      input: 'Gather market data'
    },
    {
      name: 'analysis',
      agent: 'data-analysis',
      input: 'Analyze the research data'
    },
    {
      name: 'report',
      agent: 'content-creation',
      input: 'Create comprehensive report'
    }
  ]
}

const result = await framework.executeWorkflow(workflow, { userId: 'user123' })

🛡️ Enterprise-Grade Reliability

Error Recovery

Multi-layer error handling and recovery:

// Automatic retry and fallback mechanisms
const framework = await createMultiAgentFramework({
  fallback: {
    enableRetry: true,
    maxRetries: 3,
    retryDelay: 1000,
    fallbackModels: ['gpt-3.5-turbo', 'claude-instant']
  }
})

Circuit Breaker

Prevent cascading failures:

// Circuit breaker configuration
const framework = await createMultiAgentFramework({
  circuitBreaker: {
    enable: true,
    failureThreshold: 5,
    recoveryTimeout: 60000,
    expectedException: ['LLM_API_ERROR', 'TIMEOUT_ERROR']
  }
})

Health Monitoring

Real-time system health tracking:

// Monitor system health
const health = await framework.getHealthStatus()
console.log('System Health:', health)

// Output:
// {
//   status: 'healthy',
//   llm: 'connected',
//   memory: 'connected',
//   agents: 'available',
//   tools: 'operational'
// }

Comprehensive Logging

Detailed logging and debugging:

// Configure logging
const framework = await createMultiAgentFramework({
  logging: {
    level: 'debug',
    enableMetrics: true,
    logToFile: true,
    logFormat: 'json'
  }
})

🔌 Extensibility

Plugin System

Extend functionality with plugins:

// Custom plugin
const analyticsPlugin = {
  name: 'analytics',
  hooks: {
    beforeRequest: (request) => {
      console.log('Processing request:', request.type)
    },
    afterResponse: (response) => {
      console.log('Request completed:', response.success)
    }
  }
}

const framework = await createMultiAgentFramework({
  plugins: [analyticsPlugin]
})

Middleware

Add custom processing logic:

// Request middleware
const framework = await createMultiAgentFramework({
  middleware: [
    {
      name: 'auth',
      process: async (request, next) => {
        // Custom authentication logic
        if (!request.userId) {
          throw new Error('User ID required')
        }
        return await next(request)
      }
    }
  ]
})

🎯 Performance Optimization

Caching

Intelligent caching for improved performance:

// Configure caching
const framework = await createMultiAgentFramework({
  cache: {
    enable: true,
    ttl: 300000, // 5 minutes
    maxSize: 1000,
    strategy: 'lru'
  }
})

Resource Management

Optimize resource usage:

// Resource management
const framework = await createMultiAgentFramework({
  resources: {
    maxConcurrentRequests: 10,
    maxMemoryUsage: '512MB',
    timeout: 30000
  }
})

Next Steps

• Architecture - Understand the system design
• Configuration - Learn about configuration options
• API Reference - Detailed API documentation
• Examples - Practical implementations