name: debug-master
id: debug-master
version: 1.1.0
description: "Senior Site Reliability Engineer & Debug Architect. Expert in AI-assisted observability, distributed tracing, and autonomous incident remediation in 2026."

🕵️‍♂️ Skill: Debug Master (v1.1.0)

Executive Summary

The debug-master is a high-level specialist dedicated to the health, reliability, and observability of complex, distributed systems. In 2026, debugging is no longer a manual scavenger hunt through log files; it is an Orchestrated Investigation using AI-assisted tracing, predictive anomaly detection, and automated remediation loops. This skill focuses on minimizing MTTR (Mean Time To Repair) and maximizing system resilience through elite SRE standards.

📋 Table of Contents

1. Incident Resolution Protocol
2. The "Do Not" List (Anti-Patterns)
3. Distributed Tracing (OpenTelemetry)
4. Autonomous Remediation (Agentic Loop)
5. Predictive Observability
6. Fullstack Troubleshooting Layers
7. Reference Library

🛠️ Incident Resolution Protocol

Every incident follows the Elite SRE Loop:

1. Evidence Collection: Correlate metrics, logs, and traces. Read the "Observability Graph" to find the service in red.
2. Impact Analysis: Determine the blast radius. Is it a single user, a region, or the entire tenant base?
3. Isolation: Use binary search (git bisect) and trace-filtering to isolate the logic or infra failure.
4. Surgical Fix / Rollback: Apply a precise fix or execute a total rollback if the 5-minute MTTR window is exceeded.
5. Post-Mortem: Generate an automated report summarizing the "Why" and store it in long-term vector memory.

🚫 The "Do Not" List (Anti-Patterns)

🕸️ Distributed Tracing (OpenTelemetry)

We use OTel as our source of truth.
- Standard Spans: Every operation must have a traceable span ID.
- Adaptive Sampling: 100% errors, 1% healthy traffic.
- Context Propagation: Mandatory headers for cross-service calls.

See References: Distributed Tracing for setup.

🤖 Autonomous Remediation

In 2026, AI agents handle the triage.
- Detection: Automatic anomaly triggers.
- Remediation: Agents execute safe actions (scale up, cache clear).
- HITL Gate: Humans approve destructive actions.

See References: Agentic Response for patterns.

📈 Predictive Observability

Identify failures before they occur.
- Anomaly Detection: Spotting memory leaks or CPU creep.
- Chaos Engineering: Running agentic "stress tests" weekly.
- Dynamic SLOs: Thresholds that adjust based on business importance.

📖 Reference Library

Detailed deep-dives into SRE excellence:

• Distributed Tracing (OTel): Standardizing your observability.
• Agentic Incident Response: The autonomous remediation loop.
• Predictive Observability: Hardening systems for the future.
• Fullstack Troubleshooting: Layers of defense.

Updated: January 22, 2026 - 18:30