AI MAX is a production-ready repository of agents, skills, hooks, commands, rules, and MCP configurations for Claude Code. It enables operations teams to quickly enhance their AI workflows with pre-built, ready-to-use components. The repository connects to Claude Code, streamlining automation tasks and improving operational efficiency.
git clone https://github.com/zhukunpenglinyutong/ai-max.gitAI MAX is a production-ready repository of agents, skills, hooks, commands, rules, and MCP configurations for Claude Code. It enables operations teams to quickly enhance their AI workflows with pre-built, ready-to-use components. The repository connects to Claude Code, streamlining automation tasks and improving operational efficiency.
["Install the AI MAX repository in your Claude Code environment by running: `git clone https://github.com/ai-max/ai-max.git && cd ai-max && npm install`","Configure the MCP server by editing `mcp-config.json` to specify your monitoring targets (e.g., database endpoints, API endpoints, or cloud resources).","Use the provided hooks or commands to define automation rules. For example, add a hook to trigger alerts when CPU exceeds 80% for 5 minutes.","Run the MCP server with: `claude mcp run ai-max-mcp-server.js` and test the automation with sample data.","Integrate AI MAX with your existing workflows by connecting it to tools like Slack (for alerts), AWS Lambda (for auto-scaling), or GitHub Actions (for CI/CD pipelines). Use the `ai-max-commands` directory to extend functionality with custom scripts."]
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/zhukunpenglinyutong/ai-maxCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Use the AI MAX repository to [TASK] in Claude Code. For example: 'Deploy the AI MAX MCP server to monitor [SYSTEM_NAME] and alert on [CRITICAL_METRICS].' or 'Configure the AI MAX command hook to auto-generate a weekly report from [DATA_SOURCE] and save it to [OUTPUT_PATH].'
``` # AI MAX MCP Server Deployment Report **System Monitored:** Production Database Cluster (PostgreSQL 15) **Critical Metrics Tracked:** CPU Usage > 85%, Memory > 90%, Disk I/O > 1000 ops/sec **Alerts Triggered:** 3 (High CPU on Node-3, Memory Spike on Node-1, Disk I/O on Node-2) ## Actions Taken: 1. **Node-3 CPU Alert (92%):** Automatically triggered a scale-up event via AI MAX hook. Added 2 vCPUs and 4GB RAM. Recovery time: 4 minutes. 2. **Node-1 Memory Alert (94%):** Initiated a connection pool optimization. Reduced active connections from 1200 to 800. Recovery time: 7 minutes. 3. **Node-2 Disk I/O Alert (1200 ops/sec):** Triggered a query optimization script from AI MAX commands. Identified and killed 3 long-running queries. Recovery time: 5 minutes. ## Output Generated: - `/reports/2024-05-20_db_cluster_health.json` (saved to S3 bucket `ai-max-reports`) - `/alerts/2024-05-20_critical_alerts.csv` (emailed to ops-team@company.com) ## Next Steps: - Review Node-3's auto-scaling configuration for future threshold adjustments. - Schedule a team review of the connection pool settings to prevent future memory spikes. - Add Node-2's disk I/O pattern to the baseline for proactive monitoring. ```
Agents that listen, think and act for you.
AI assistant built for thoughtful, nuanced conversation
IronCalc is a spreadsheet engine and ecosystem
Customer feedback management made simple
Enterprise workflow automation and service management platform
Automate your spreadsheet tasks with AI power
Take a free 3-minute scan and get personalized AI skill recommendations.
Take free scan