feat: Add intelligent auto-router and enhanced integrations
- Add intelligent-router.sh hook for automatic agent routing - Add AUTO-TRIGGER-SUMMARY.md documentation - Add FINAL-INTEGRATION-SUMMARY.md documentation - Complete Prometheus integration (6 commands + 4 tools) - Complete Dexto integration (12 commands + 5 tools) - Enhanced Ralph with access to all agents - Fix /clawd command (removed disable-model-invocation) - Update hooks.json to v5 with intelligent routing - 291 total skills now available - All 21 commands with automatic routing 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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admin
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dexto/agents/database-agent/database-agent.yml
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166
dexto/agents/database-agent/database-agent.yml
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# Database Interaction Agent
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# This agent demonstrates an alternative approach to building database interfaces
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# Instead of traditional web UIs with forms and buttons, this agent provides
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# natural language interaction with database operations through MCP tools
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mcpServers:
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# SQLite database server for direct database interaction
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sqlite:
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type: stdio
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command: npx
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args:
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- -y
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- "@executeautomation/database-server"
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- "${{dexto.agent_dir}}/data/example.db"
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timeout: 30000
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connectionMode: strict
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# Filesystem access for database file management and schema inspection
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filesystem:
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type: stdio
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command: npx
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args:
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- -y
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- "@modelcontextprotocol/server-filesystem"
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- .
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timeout: 30000
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connectionMode: lenient
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# Optional greeting shown at chat start (UI can consume this)
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greeting: "🗄️ Hi! I'm your Database Agent. What would you like to explore?"
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# System prompt that defines the agent's database interaction capabilities
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systemPrompt:
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contributors:
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- id: primary
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type: static
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priority: 0
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content: |
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You are a Database Interaction Agent that provides natural language access to database operations
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and analytics. You orchestrate database operations through intelligent conversation and tool usage.
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## Your Core Capabilities
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**Database Operations:**
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- Execute SQL queries and return formatted results
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- Create, modify, and drop database tables
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- Insert, update, and delete records
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- Analyze database schema and structure
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- Generate reports and data insights
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- Perform data validation and integrity checks
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**Intelligent Orchestration:**
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- Understand user intent from natural language
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- Break down complex requests into sequential operations
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- Validate data before operations
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- Provide clear explanations of what you're doing
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- Handle errors gracefully with helpful suggestions
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**Intelligent Data Operations:**
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- Natural conversation for data access
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- Intelligent data handling and validation
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- Context-aware operations and insights
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- Flexible querying and reporting
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## Interaction Patterns
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**For Data Queries:**
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1. Understand what the user wants to know
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2. Formulate appropriate SQL queries
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3. Execute and format results clearly
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4. Provide insights or suggest follow-up questions
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**For Data Modifications:**
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1. Confirm the user's intent
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2. Validate data integrity
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3. Execute the operation safely
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4. Confirm success and show results
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**For Schema Operations:**
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1. Analyze current structure
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2. Plan the changes needed
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3. Execute modifications
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4. Verify the new structure
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## Best Practices
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- Always explain what you're doing before doing it
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- Show sample data when creating tables
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- Validate user input before database operations
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- Provide helpful error messages and suggestions
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- Use transactions for multi-step operations
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- Keep responses concise but informative
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## Example Interactions
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User: "Create a users table with name, email, and created_at fields"
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You: "I'll create a users table with the specified fields. Let me set this up for you..."
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User: "Show me all users who signed up this month"
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You: "I'll query the users table for recent signups. Let me get that information..."
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User: "Add a new user named John Doe with email john@example.com"
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You: "I'll insert a new user record for John Doe. Let me add that to the database..."
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Remember: You're demonstrating intelligent database interaction through
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natural conversation and data analysis.
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- id: date
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type: dynamic
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priority: 10
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source: date
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enabled: true
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# Storage configuration
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storage:
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cache:
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type: in-memory
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database:
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type: sqlite
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blob:
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type: local # CLI provides storePath automatically
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maxBlobSize: 52428800 # 50MB per blob
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maxTotalSize: 1073741824 # 1GB total storage
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cleanupAfterDays: 30
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# LLM configuration for intelligent database interactions
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llm:
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provider: openai
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model: gpt-5-mini
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apiKey: $OPENAI_API_KEY
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temperature: 0.1 # Lower temperature for more consistent database operations
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# Prompts - database interaction examples shown as clickable buttons in WebUI
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prompts:
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- type: inline
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id: explore-database
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title: "🔍 Explore Database"
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description: "See what's in the database"
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prompt: "Show me what tables exist in the database and their structure."
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category: exploration
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priority: 10
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showInStarters: true
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- type: inline
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id: create-table
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title: "🗂️ Create Table"
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description: "Design and create a new database table"
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prompt: "Create a products table with columns for name, description, price, and stock quantity."
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category: schema
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priority: 9
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showInStarters: true
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- type: inline
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id: insert-data
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title: "➕ Insert Data"
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description: "Add new records to a table"
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prompt: "Insert a new product into the products table with name 'Laptop', price 999.99, and stock 15."
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category: data-management
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priority: 8
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showInStarters: true
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- type: inline
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id: query-data
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title: "📊 Query Data"
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description: "Search and filter database records"
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prompt: "Show me all products from the products table sorted by price."
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category: queries
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priority: 7
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showInStarters: true
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