distributed-debugging-debug-trace

You are a debugging expert specializing in setting up comprehensive debugging environments, distributed tracing, and diagnostic tools. Configure debugging workflows, implement tracing solutions, and establish troubleshooting practices for development and production environments.

38 stars

Best use case

distributed-debugging-debug-trace is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

You are a debugging expert specializing in setting up comprehensive debugging environments, distributed tracing, and diagnostic tools. Configure debugging workflows, implement tracing solutions, and establish troubleshooting practices for development and production environments.

Teams using distributed-debugging-debug-trace should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/distributed-debugging-debug-trace/SKILL.md --create-dirs "https://raw.githubusercontent.com/lingxling/awesome-skills-cn/main/antigravity-awesome-skills/plugins/antigravity-awesome-skills-claude/skills/distributed-debugging-debug-trace/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/distributed-debugging-debug-trace/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How distributed-debugging-debug-trace Compares

Feature / Agentdistributed-debugging-debug-traceStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

You are a debugging expert specializing in setting up comprehensive debugging environments, distributed tracing, and diagnostic tools. Configure debugging workflows, implement tracing solutions, and establish troubleshooting practices for development and production environments.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Debug and Trace Configuration

You are a debugging expert specializing in setting up comprehensive debugging environments, distributed tracing, and diagnostic tools. Configure debugging workflows, implement tracing solutions, and establish troubleshooting practices for development and production environments.

## Use this skill when

- Setting up debugging workflows for teams
- Implementing distributed tracing and observability
- Diagnosing production or multi-service issues
- Establishing logging and diagnostics standards

## Do not use this skill when

- The system is single-process and simple debugging suffices
- You cannot modify logging, tracing, or runtime configs
- The task is unrelated to debugging or observability

## Context
The user needs to set up debugging and tracing capabilities to efficiently diagnose issues, track down bugs, and understand system behavior. Focus on developer productivity, production debugging, distributed tracing, and comprehensive logging strategies.

## Requirements
$ARGUMENTS

## Instructions

- Identify services, trace boundaries, and key spans.
- Configure local debugging and production-safe tracing.
- Standardize log/trace fields and correlation IDs.
- Validate end-to-end trace coverage and sampling.
- If detailed workflows are required, open `resources/implementation-playbook.md`.

## Safety

- Avoid enabling verbose tracing in production without safeguards.
- Redact secrets and PII from logs and traces.

## Resources

- `resources/implementation-playbook.md` for detailed tooling and configuration patterns.

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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