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>
2026-01-28 00:27:56 +04:00
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--- a/dexto/agents/examples/README.md
+++ b/dexto/agents/examples/README.md
@@ -0,0 +1,22 @@
+# Configuration Examples
+
+This folder contains examples for agents with different configurations. These examples demonstrate how to configure and set up various agents to handle different use cases.
+
+You can directly plug in these configuration files and try them out on your local system to see the power of different AI Agents!
+
+## Available Examples
+
+### `linear-task-manager.yml`
+A task management agent that integrates with Linear's official MCP server to help you manage issues, projects, and team collaboration through natural language commands. Features include:
+- Create, update, and search Linear issues
+- Manage project status and tracking
+- Add comments and collaborate with team members
+- Handle task assignments and priority management
+
+**Setup**: Requires Linear workspace authentication when first connecting.
+
+### Other Examples
+- `email_slack.yml` - Email and Slack integration
+- `notion.yml` - Notion workspace management
+- `ollama.yml` - Local LLM integration
+- `website_designer.yml` - Web design assistance
--- a/dexto/agents/examples/email_slack.yml
+++ b/dexto/agents/examples/email_slack.yml
@@ -0,0 +1,26 @@
+# Email to Slack Automation Configuration
+# This agent monitors emails and posts summaries to Slack
+mcpServers:
+  gmail:
+    type: sse
+    url: "composio-url"
+  slack:
+    type: stdio
+    command: "npx"
+    args:
+      - -y
+      - "@modelcontextprotocol/server-slack"
+    env:
+      SLACK_BOT_TOKEN: "slack-bot-token"
+      SLACK_TEAM_ID: "slack-team-id"
+
+# System prompt - defines the agent's behavior for email processing
+systemPrompt: |
+  Prompt the user to provide the information needed to answer their question or identify them on Slack.
+  Also let them know that they can directly update the systemPrompt in the yml if they prefer.
+
+# LLM Configuration
+llm:
+  provider: openai
+  model: gpt-5-mini
+  apiKey: $OPENAI_API_KEY
--- a/dexto/agents/examples/linear-task-manager.yml
+++ b/dexto/agents/examples/linear-task-manager.yml
@@ -0,0 +1,58 @@
+# Linear Task Management Agent
+# This agent integrates with Linear's MCP server to manage tasks, issues, and projects
+# through natural language commands.
+
+systemPrompt: |
+  You are a Linear Task Management Agent specialized in helping users manage their Linear workspace efficiently. You have access to Linear's official MCP server that allows you to:
+  
+  ## Your Capabilities
+  - **Issue Management**: Find, create, update, and manage Linear issues
+  - **Project Tracking**: Access and manage Linear projects and their status
+  - **Team Collaboration**: View team activity, assign tasks, and track progress
+  - **Comment Management**: Add comments to issues and participate in discussions
+  - **Status Updates**: Update issue status, priority, and labels
+  - **Search & Filter**: Find specific issues, projects, or team members
+  
+  ## How You Should Behave
+  - Always confirm destructive actions (deleting, major status changes) before proceeding
+  - Provide clear summaries when listing multiple issues or projects
+  - Use natural language to explain Linear concepts when needed
+  - Be proactive in suggesting task organization and workflow improvements
+  - When creating issues, ask for essential details if not provided (title, description, priority)
+  - Offer to set up logical task relationships (dependencies, sub-tasks) when appropriate
+  
+  ## Usage Examples
+  - "Create a new issue for fixing the login bug with high priority"
+  - "Show me all open issues assigned to me"
+  - "Update the API documentation task to in progress"
+  - "Find all issues related to the mobile app project"
+  - "Add a comment to issue #123 about the testing results"
+  - "What's the status of our current sprint?"
+
+mcpServers:
+  linear:
+    type: stdio
+    command: npx
+    args:
+      - -y
+      - mcp-remote
+      - https://mcp.linear.app/sse
+    connectionMode: strict
+    # Note: Linear MCP requires authentication through your Linear workspace
+    # You'll need to authenticate when first connecting
+
+toolConfirmation:
+  mode: auto-approve
+  allowedToolsStorage: memory
+
+llm:
+  provider: openai
+  model: gpt-5-mini
+  apiKey: $OPENAI_API_KEY
+
+storage:
+  cache:
+    type: in-memory
+  database:
+    type: sqlite
+    path: .dexto/database/linear-task-manager.db
--- a/dexto/agents/examples/notion.yml
+++ b/dexto/agents/examples/notion.yml
@@ -0,0 +1,31 @@
+# Refer https://github.com/makenotion/notion-mcp-server for information on how to use notion mcp server
+# mcpServers:
+#   notion:
+#     type: stdio
+#     url: "get-url-from-composio-or-any-other-provider"
+
+# System prompt configuration - defines the agent's behavior and instructions
+systemPrompt: |
+  You are a helpful Notion AI assistant. Your primary goals are to:
+  1. Help users organize and manage their Notion workspace effectively
+  2. Assist with creating, editing, and organizing pages and databases
+  3. Provide guidance on Notion features and best practices
+  4. Help users find and retrieve information from their Notion workspace
+  
+  When interacting with users:
+  - Ask clarifying questions to understand their specific needs
+  - Provide step-by-step instructions when explaining complex tasks
+  - Suggest relevant Notion templates or structures when appropriate
+  - Explain the reasoning behind your recommendations
+  
+  If you need additional information to help the user:
+  - Ask for specific details about their Notion workspace
+  - Request clarification about their goals or requirements
+  - Inquire about their current Notion setup and experience level
+
+  Remember to be concise, clear, and focus on practical solutions.
+
+llm:
+  provider: openai
+  model: gpt-5-mini
+  apiKey: $OPENAI_API_KEY
--- a/dexto/agents/examples/ollama.yml
+++ b/dexto/agents/examples/ollama.yml
@@ -0,0 +1,67 @@
+# describes the mcp servers to use
+mcpServers:
+  filesystem:
+    type: stdio
+    command: npx
+    args:
+      - -y
+      - "@modelcontextprotocol/server-filesystem"
+      - .
+  playwright:
+    type: stdio
+    command: npx
+    args:
+      - -y
+      - "@playwright/mcp@latest"
+  # hf:
+  #   type: stdio
+  #   command: npx
+  #   args:
+  #     - -y
+  #     - "@llmindset/mcp-hfspace"
+
+# System prompt configuration - defines the agent's behavior and instructions
+systemPrompt:
+  contributors:
+    - id: primary
+      type: static
+      priority: 0
+      content: |
+        You are a helpful AI assistant with access to tools.
+        Use these tools when appropriate to answer user queries.
+        You can use multiple tools in sequence to solve complex problems.
+        After each tool result, determine if you need more information or can provide a final answer.
+
+    - id: date
+      type: dynamic
+      priority: 10
+      source: date
+      enabled: true
+
+# first start the ollama server
+# ollama run gemma3n:e2b
+# then run the following command to start the agent:
+# dexto --agent <path_to_ollama.yml>
+# dexto --agent <path_to_ollama.yml> for web ui
+llm:
+  provider: openai-compatible
+  model: gemma3n:e2b
+  baseURL: http://localhost:11434/v1
+  apiKey: $OPENAI_API_KEY
+  maxInputTokens: 32768
+
+# Storage configuration - uses a two-tier architecture: cache (fast, ephemeral) and database (persistent, reliable)
+# Memory cache with file-based database (good for development with persistence)
+# storage:
+#   cache:
+#     type: in-memory
+#   database:
+#     type: sqlite
+#     path: ./data/dexto.db
+
+## To use Google Gemini, replace the LLM section with Google Gemini configuration below
+## Similar for anthropic/groq/etc.
+# llm:
+#   provider: google
+#   model: gemini-2.0-flash
+#   apiKey: $GOOGLE_GENERATIVE_AI_API_KEY
--- a/dexto/agents/examples/website_designer.yml
+++ b/dexto/agents/examples/website_designer.yml
@@ -0,0 +1,34 @@
+# describes the mcp servers to use
+mcpServers:
+  filesystem:
+    type: stdio
+    command: npx
+    args:
+      - -y
+      - "@modelcontextprotocol/server-filesystem"
+      - .
+  playwright:
+    type: stdio
+    command: npx
+    args:
+      - -y
+      - "@playwright/mcp@latest"
+
+# System prompt configuration - defines the agent's behavior and instructions
+systemPrompt: |
+  You are a professional website developer. You design beautiful, aesthetic websites. 
+  Use these tools when appropriate to answer user queries.
+  You can use multiple tools in sequence to solve complex problems.
+  After each tool result, determine if you need more information or can provide a final answer.
+  When building a website, do this in a separate folder to keep it separate from the rest of the code. 
+  The website should look clean, professional, modern and elegant. 
+  It should be visually appealing. Carefully consider the color scheme, font choices, and layout. I like non-white backgrounds.
+  It should be responsive and mobile-friendly, and seem like a professional website.
+  After you are done building it, open it up in the browser
+
+# # describes the llm configuration
+llm:
+  provider: openai
+  model: gpt-5
+  # you can update the system prompt to change the behavior of the llm
+  apiKey: $OPENAI_API_KEY