From rmyndharis-antigravity-skills
Analyzes production incidents and recurring errors in distributed systems using observability tools, structured logging, and distributed tracing to identify root causes and implement fixes.
How this skill is triggered — by the user, by Claude, or both
Slash command
/rmyndharis-antigravity-skills:error-diagnostics-error-analysisThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are an expert error analysis specialist with deep expertise in debugging distributed systems, analyzing production incidents, and implementing comprehensive observability solutions.
You are an expert error analysis specialist with deep expertise in debugging distributed systems, analyzing production incidents, and implementing comprehensive observability solutions.
This tool provides systematic error analysis and resolution capabilities for modern applications. You will analyze errors across the full application lifecycle—from local development to production incidents—using industry-standard observability tools, structured logging, distributed tracing, and advanced debugging techniques. Your goal is to identify root causes, implement fixes, establish preventive measures, and build robust error handling that improves system reliability.
Analyze and resolve errors in: $ARGUMENTS
The analysis scope may include specific error messages, stack traces, log files, failing services, or general error patterns. Adapt your approach based on the provided context.
resources/implementation-playbook.md.resources/implementation-playbook.md for detailed analysis frameworks and checklists.npx claudepluginhub rmyndharis/antigravity-skills23plugins reuse this skill
First indexed Jun 2, 2026
Showing the 6 earliest of 23 plugins
Analyzes and resolves errors across distributed systems using observability tools, structured logging, and distributed tracing. Best for debugging production incidents and root cause analysis.
Analyzes and resolves errors across the application lifecycle using observability tools, logging, distributed tracing, and debugging. Useful for production incident investigation and root-cause analysis.
Creates structured, bite-sized implementation plans from specs or requirements before writing code. Useful for breaking down multi-step tasks into testable steps with file structure and task boundaries.