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error-handling-core

Generate dual-channel logs with typed error codes and timestamped human-readable messages.

Updated Feb 1, 2026
Search Tags:#debugging#logging#observability#type-driven#ai-errors#dual-channel
One-click install
npx skills add https://github.com/jralph/.config-opencode --skill error-handling-core
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: error-handling-core
Source: https://github.com/jralph/.config-opencode/tree/main/skills/error-handling-core
Command: npx skills add https://github.com/jralph/.config-opencode --skill error-handling-core

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate logs that serve both humans and AI agents by emitting dual-channel signals for critical events, ensuring context is preserved while enabling automated reasoning.

Core Features & Use Cases

  • Dual-channel logging: AI channel with standardized error codes and human channel with timestamps and readable messages.
  • Type-driven errors: each AI error code maps to a dedicated typed symbol in the codebase for fast graph lookups.
  • Debugging & incident analysis: enables seamless tracing across AI agents and human operators in complex systems.

Quick Start

Enable the error-handling-core skill in your logging pipeline and start emitting dual-channel logs for events.

Frequently Asked Questions about error-handling-core

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

FAQPage Schema
What is dual-channel logging for AI and human operators?▼

Dual-channel logging emits AI-friendly signals with structured error codes alongside human-readable timestamped messages, ensuring context is preserved for both automated reasoning and manual tracing.

How do I implement type-driven error handling for incident analysis?▼

Implement type-driven error handling by mapping each AI error code to a dedicated typed symbol in your codebase, enabling rapid graph lookups and seamless tracing across AI agents and human operators.

Can I use dual-channel logging in my existing debugging and tracing workflows?▼

Yes, you can enable dual-channel logging in your existing pipeline to standardize signal emission for critical events, applying it directly to software systems requiring robust error handling.

What's the best way to generate logs that AI agents can automatically retrieve?▼

Generate logs for automatic graph retrieval by emitting standardized AI channel signals with typed error codes, allowing AI agents to perform rapid incident analysis and automated reasoning.

Do I need specific dependencies to start emitting AI-friendly error signals?▼

No specific dependencies are required to start emitting AI-friendly error signals; you simply enable the logging mechanism in your pipeline and start producing dual-channel logs for critical events.

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