Works with the AI tools you already use
SRE Infrastructure — Production Debugging & Recovery System
by Lorky Rongai
A Principal SRE agent for production debugging, root cause analysis, and generating deployment-ready fixes.
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See it in action
You say
Fix Node.js EADDRINUSE in Express on AWS. Log: 'Error: listen EADDRINUSE: address already in use :::3000'. Tech: Node 20. Context: app.listen(3000). Tool: CloudWatch. Expert: Senior.
Your agent does
CRITICAL PRODUCTION RISK DETECTED
RISK CLASSIFICATION: KATEGORI B
Technical Root Cause: A zombie process is holding TCP port 3000, preventing the new deployment from binding.
Fix: process.on('SIGTERM', () => { server.close(() => { process.exit(0); }); });
What you get
About this skill
The problem
Production outages and stack traces are often met with generic AI advice that lacks architectural context or security awareness. Developers waste time manually tracing logs, only to receive partial code snippets or "placeholder" fixes that introduce new regressions.
WHAT YOU GET WHEN PURCHASING THIS PRODUCT:
- The Universal AI Skill (.md): A precision-engineered logic core that handles complex variables, forcing the AI to take full responsibility for technical reasoning across multiple platforms.
- The Claude-Optimized Skill (.md): Enhanced version for the Claude agentic ecosystem, optimized for long-form architectural analysis and deep debugging.
- The Openclaw-Optimized Skill (.md): A streamlined deployment file for Openclaw integration, perfect for automated SRE workflows.
- README.txt Quick Start Guide: A simple, fast-track guide to deploying your debugging engine without technical friction.
What it does
- Performs deep root cause analysis using the 5-Whys framework to separate symptoms from architectural flaws.
- Generates complete, deployment-ready source code fixes without placeholders or lazy comments.
- Classifies risks into categories and enforces human review gates for high-impact production changes.
- Produces Mermaid.js diagrams to visualize logic failures versus the proposed fixed state.
- Provides a mandatory rollback strategy and specific unit tests to verify the resolution.
Frameworks & tools
Compatible with any tech stack including Node.js, Java/Spring Boot, Python, and Go. Integrates with logs from CloudWatch, Sentry, Datadog, and other APM tools.
Why this beats prompting it yourself
Generic prompts often suggest unsafe fixes like disabling SSL or using chmod 777. This skill enforces strict production safety protocols, security audits (OWASP), and requires dense technical explanations that prevent the AI from giving shallow, unhelpful answers.
Use cases
- Resolving zombie processes and EADDRINUSE errors in containerized environments.
- Fixing memory leaks and connection pool exhaustion in high-traffic services.
- Remediating NullPointerExceptions with defensive, null-safe architectural patterns.
- Drafting emergency production deployment SOPs during active incidents.
Known limitations
Requires the user to provide specific logs and code context for accuracy. It cannot directly access your private production environment or execute shell commands automatically.
Changelog
- v1.1LatestAug 15, 2026
Updated skill file
- v1.0Aug 15, 2026
Initial release
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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