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error-handling

Classify application errors, collect error graphs, and apply automated recovery strategies.

Updated Mar 4, 2026
Search Tags:#monitoring#observability#alerts#recovery#error-handling#retries#error-graph
One-click install
npx skills add https://github.com/joyz0/kitz-ai --skill error-handling-joyz0
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: error-handling
Source: https://github.com/joyz0/kitz-ai/tree/main/docs/legacy-skills/error-handling
Command: npx skills add https://github.com/joyz0/kitz-ai --skill error-handling-joyz0

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Provides a consistent, application-wide error management system that classifies errors, captures context, monitors trends, and attempts automated recovery to reduce downtime and improve observability.

Core Features & Use Cases

  • Unified Error Types: Standardized error objects with codes and metadata for consistent handling across services.
  • Intelligent Categorization & Graphs: Automatic classification and error graph collection to surface root causes and contextual relationships.
  • Automated Recovery & Monitoring: Pluggable handlers, retry/fallback/circuit-breaker strategies, and metrics/alerting to enable automated remediation and operational visibility.
  • Use Case: Detect and classify a recurring database timeout across microservices, attempt backoff and retry, record the error graph for postmortem analysis, and emit alerts if recovery fails.

Quick Start

Use the error-handling skill to classify a thrown service error, collect its error graph, attempt configured recovery strategies, and emit metrics and alerts if recovery fails.

Frequently Asked Questions about error-handling

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I handle uncaught exceptions and unhandled promise rejections across microservices?▼

Unified error handling captures uncaught exceptions and unhandled promise rejections across server-side and client-side services by standardizing error objects with codes and metadata for consistent management.

What is an error graph and how does it help with root cause analysis?▼

An error graph maps contextual relationships between operational errors to automatically classify them and surface root causes for postmortem analysis during production and testing.

How do I implement automated retry, fallback, and circuit-breaker recovery strategies?▼

Automated recovery applies pluggable handlers to execute configured retry, fallback, and circuit-breaker strategies, attempting backoff and retry for recurring errors like database timeouts.

Can I attach custom alerting and metrics reporting to application error monitoring?▼

Pluggable handlers enable metrics reporting and alerting by emitting operational alerts when automated recovery fails, providing visibility into error trends and downtime.

Does this approach work for both production environments and testing phases?▼

Error classification and error graph collection are designed to apply to both production environments and testing phases, meeting requirements for operational visibility and recovery.

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