{"id":"f0c59ada-4924-4f5d-9767-2abf557bb681","shortId":"qtcFwM","kind":"skill","title":"Investigate production issues from Slack with runbooks and monitoring MCPs using DIY AI Debugging Agent Toolkit","tagline":"Handle alerts and debugging questions from Slack, query connected monitoring MCP servers, and follow runbook-guided investigation steps for live incidents.","description":"# Investigate production issues from Slack with runbooks and monitoring MCPs using DIY AI Debugging Agent Toolkit\n\nHandle alerts and debugging questions from Slack, query connected monitoring MCP servers, and follow runbook-guided investigation steps for live incidents.\n\n## Prerequisites\n\nSlack app, MCP server connections for monitoring tools, Python runtime, OpenAI key, optional runbooks or prompts for incident workflows\n\n## Installation\n\nUse the upstream install or setup path that matches your environment:\n- pip install uv\n- uv sync\n- uv run python app.py\n\nBasic usage or getting-started notes:\n- There are multiple types of AI as well as non-AI automations that you can setup using this toolkit. For example:\n- Run your local server: Start your application on a port (e.g., port 5000)\n- Create the tunnel: Run ngrok http 5000\n\n- Source: https://github.com/DrDroidLab/sample-debug-agent\n- Extracted from upstream docs: https://raw.githubusercontent.com/DrDroidLab/sample-debug-agent/HEAD/README.md\n\n## Documentation\n\n- https://github.com/DrDroidLab/sample-debug-agent\n\n## Source\n\n- [Agent Skill 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