npx skills add smithery/yuniorglez --skill debug-master
yuniorglez/gemini-elite-core
debug-master
Senior Site Reliability Engineer & Debug Architect. Expert in AI-assisted observability, distributed tracing, and autonomous incident remediation in 2026.
Installation
npx skills add yuniorglez/gemini-elite-core --skill debug-master
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- First seen on skills.sh
- First recorded snapshot · 23 installs
SKILL.md
🕵️♂️ 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
- [Incident Resolution Protocol](#incident-resolution-protocol)
- [The "Do Not" List (Anti-Patterns)](#the-do-not-list-anti-patterns)
- [Distributed Tracing (OpenTelemetry)](#distributed-tracing-opentelemetry)
- [Autonomous Remediation (Agentic Loop)](#autonomous-remediation-agentic-loop)
- [Predictive Observability](#predictive-observability)
- [Fullstack Troubleshooting Layers](#fullstack-troubleshooting-layers)
- [Reference Library](#reference-library)
🛠️ Incident Resolution Protocol
Every incident follows the Elite SRE Loop:
- Evidence Collection: Correlate metrics, logs, and traces. Read the "Observability Graph" to find the service in red.
- Impact Analysis: Determine the blast radius. Is it a single user, a region, or the entire tenant base?
- Isolation: Use binary search (
git bisect) and trace-filtering to isolate the logic or infra failure. - Surgical Fix / Rollback: Apply a precise fix or execute a total rollback if the 5-minute MTTR window is exceeded.
- Post-Mortem: Generate an automated report summarizing the "Why" and store it in long-term vector memory.
🚫 The "Do Not" List (Anti-Patterns)
| Anti-Pattern | Why it fails in 2026 | Modern Alternative |
|---|---|---|
| "Guess and Check" | Extremely slow and dangerous. | Use Distributed Tracing. |
| Ignoring Warnings | Leads to "Alert Fatigue" and outages. | Use Dynamic SLO Tracking. |
| Manual Log Scraping | Inefficient for large datasets. | Use AI-Assisted Querying (o3). |
| Hotfixing Production | Bypasses CI/CD and causes drift. | Fix in Feature Branch + Deploy. |
| Disabling RLS/Security | Huge security risk for a "quick fix." | Fix the Capability Scope. |
🕸️ 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](./references/distributed-tracing-otel.md) 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](./references/agentic-incident-response.md) 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)](./references/distributed-tracing-otel.md): Standardizing your observability.
- [Agentic Incident Response](./references/agentic-incident-response.md): The autonomous remediation loop.
- [Predictive Observability](./references/predictive-observability.md): Hardening systems for the future.
- [Fullstack Troubleshooting](./references/advanced-troubleshooting-fullstack.md): Layers of defense.
Updated: January 22, 2026 - 18:30