> ## Documentation Index > Fetch the complete documentation index at: https://docs.kubiya.ai/llms.txt > Use this file to discover all available pages before exploring further. # Examples > Real-world examples and walkthroughs demonstrating Meta Agent capabilities. This page provides practical examples of using the Meta Agent for common tasks. ## Example 1: CVE Remediation Workflow This walkthrough demonstrates the Meta Agent's end-to-end capabilities by scanning a repository for CVEs and automatically creating a pull request with fixes. ### Step 1: Enable Connectors First, enable the connectors you'll need. Click the connectors menu and enable **GitHub** and **Sandbox**: Enabling Connectors Enabling Connectors ### Step 2: Request CVE Scan and Remediation Enter a prompt asking the Meta Agent to scan for vulnerabilities and fix them: ``` Scan the repository kubiyabot/example-app for CVEs and create a pull request with fixes for any critical vulnerabilities found. ``` ### Step 3: Review Results The Meta Agent will: 1. Clone the repository in a sandbox environment 2. Run vulnerability scanning tools (like Trivy) 3. Analyze the results and identify fixable issues 4. Generate updated dependency files 5. Create a pull request with the remediation ### What You Get * **Scan Results** - List of vulnerabilities with severity levels * **Remediation Plan** - What will be changed and why * **Pull Request** - Ready for review with detailed description * **Slack Notification** - Optional alert to your team *** ## Example 2: Infrastructure Discovery Query your infrastructure without writing Cypher: ### Find Dependencies ``` What services depend on the user-auth database? ``` **Response includes:** * List of dependent services * Relationship types (CONNECTS\_TO, DEPENDS\_ON) * Impact assessment for changes ### Permission Analysis ``` What IAM roles have administrator access across our AWS accounts? ``` **Response includes:** * Role names and ARNs * Attached policies * Account breakdown * Security recommendations ### Resource Discovery ``` List all EC2 instances in production with their IAM roles ``` **Response includes:** * Instance IDs and names * Associated IAM roles * Region and account information * Running status *** ## Example 3: Agent Execution This example demonstrates executing an agent on a remote worker through Meta Agent's durable task management. ### List and Execute Agents Ask the Meta Agent to list available agents and execute one: ``` List all available agents in the platform, then execute the DevOps agent to check the status of our Kubernetes infrastructure ``` Meta Agent Lists Agents Meta Agent Lists Agents **The Meta Agent will:** 1. List all configured agents with their capabilities 2. Identify available worker queues with active workers 3. Create a durable task and route it to the appropriate queue 4. Stream real-time execution output as the agent works ### Live Task Execution Watch the agent execute in real-time with full visibility into tool calls: Live Task Execution Live Task Execution **What you see:** * **Task Started** indicator with execution ID * **Runtime** (Claude Code) and **Agent** (DevOps Engineer) details * **Worker Queue** where the task is executing * **Live message stream** showing agent reasoning and tool calls * **Tool execution status** (Running, Success, Failed) ### Create a New Agent ``` Create a new agent called "Database Admin" with PostgreSQL and MySQL skills, assign it to the Platform team ``` **Meta Agent will:** 1. Create the agent with specified configuration 2. Attach the requested skills 3. Assign to the team 4. Return the agent details *** ## Example 4: Team Coordination ### Create a Team ``` Create a Platform Engineering team with the DevOps agent and SRE agent, give them access to production environment ``` ### Check Team Status ``` Show me all teams and which agents are assigned to each ``` ### Execute Team Workflow ``` Have the Security team run a full compliance audit on our AWS infrastructure ``` *** ## Example 5: Memory and Learning ### Query Past Incidents ``` What did we learn from the last production outage? ``` **Response includes:** * Incident summary from cognitive memory * Root cause analysis * Remediation steps taken * Lessons learned ### Store New Knowledge ``` Store this runbook for future reference: When the API gateway returns 503 errors, first check the upstream services... ``` ### Find Runbooks ``` Find the runbook for database failover procedures ``` *** ## Example 6: Background Jobs ### Schedule a Job ``` Schedule a daily backup verification job that runs at 2am UTC ``` ### Check Job Status ``` Show me all background jobs and their last execution status ``` ### Pause/Resume Jobs ``` Pause the nightly report job until next Monday ``` *** ## Example 7: Cross-Platform Operations ### Create Project with Full Setup ``` Create a new project for Q1 cost optimization: - Assign the FinOps team - Schedule weekly cloud spend analysis - Create a Slack channel for updates - Set up a Jira board for tracking ``` **Meta Agent orchestrates:** 1. Project creation 2. Team assignment 3. Background job scheduling 4. Slack channel creation (with Slack connector) 5. Jira board setup (with Jira connector) *** ## Best Practices 1. **Be Specific** - Include context about what you're looking for 2. **Leverage Natural Language** - Write as you would explain to a colleague 3. **Follow Up** - Ask clarifying questions based on responses 4. **Use Suggestions** - Act on AI-powered insights for proactive management 5. **Review Tool Calls** - Check which platform resources were accessed 6. **Enable Appropriate Connectors** - Make sure needed integrations are enabled *** ## What's Next * **[Chat Interface](/core-concepts/meta-agent/chat-interface)** - Master the UI controls * **[Capabilities](/core-concepts/meta-agent/capabilities)** - Full capability reference * **[Built-in Tools](/core-concepts/meta-agent/tools/overview)** - All available tools