fix-errors

Trace unhandled errors from telemetry dashboards to their data producers.

Updated Mar 29, 2026
One-click install
npx skills add https://github.com/sigitpoerwo/repoworkspace_zahra --skill fix-errors-sigitpoerwo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fix-errors
Source: https://github.com/sigitpoerwo/repoworkspace_zahra/tree/main/skills/01-SIAP-PAKAI/coding/fix-errors
Command: npx skills add https://github.com/sigitpoerwo/repoworkspace_zahra --skill fix-errors-sigitpoerwo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Unhandled errors from the telemetry dashboard can obscure root causes and hinder diagnosis. This Skill provides structured guidance to trace, enrich, and fix issues without masking failures at the source.

Core Features & Use Cases

  • Error tracing: Follow data flow from error producers to consumers to identify where invalid data originates.
  • Telemetry enrichment: Add diagnostic context to errors to improve observability and future debugging.
  • Safe remediation: Avoid suppressing errors at the crash site; prioritize fixes at the producer or earlier validation points.

Quick Start

Identify the root cause by tracing the data flow from the stack trace to the data producer, and add diagnostic context to the consuming side to preserve visibility.

Frequently Asked Questions about fix-errors

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

FAQPage Schema
How do I trace unhandled telemetry errors back to the data producer?

To trace unhandled telemetry errors, follow the data flow from the stack trace back to the error producer. This locates the origin of invalid data, allowing you to implement fixes at the source rather than masking failures.

What is the best way to fix telemetry errors without masking root causes?

The best way to fix telemetry errors without masking root causes is to prioritize producer-level fixes or earlier validation points. Avoid suppressing errors at the crash site, and instead trace the data flow to where invalid data originates.

How does adding contextual diagnostics improve telemetry error debugging?

Adding contextual diagnostics improves telemetry error debugging by enriching error messages with specific details. This enhances observability, making it easier to trace data flow and diagnose future unhandled errors accurately.

Can I use stack traces to locate the source of invalid data in my application?

Yes, you can use stack traces to locate the source of invalid data. By tracing the data flow from the stack trace to the error producer, you can identify exactly where the invalid data originates and fix the root cause.

Why should I avoid suppressing unhandled errors at the crash site?

You should avoid suppressing unhandled errors at the crash site because it masks the root cause of the failure. Implementing producer-level fixes preserves long-term observability and ensures the actual source of invalid data is corrected.