Distributed Tracing Agent Skill
Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/Dokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI --skill distributed-tracingWhat comes with it
8 407 bytes besides the instructionThe instruction itself
22 sections, as written by the authorDistributed Tracing
Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices.
Do not use this skill when
- The task is unrelated to distributed tracing
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
Purpose
Track requests across distributed systems to understand latency, dependencies, and failure points.
Use this skill when
- Debug latency issues
- Understand service dependencies
- Identify bottlenecks
- Trace error propagation
- Analyze request paths
Distributed Tracing Concepts
🧠 Knowledge Modules (Fractal Skills)
1. Trace Structure
2. Key Components
3. Kubernetes Deployment
4. Docker Compose
5. OpenTelemetry (Recommended)
6. HTTP Headers
7. Propagation in HTTP Requests
8. Kubernetes Deployment
9. Probabilistic Sampling
10. Rate Limiting Sampling
11. Adaptive Sampling
12. Finding Slow Requests
13. Finding Errors
14. Service Dependency Graph
15. Correlated Logs
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How to use it
Take dokhacgiakhoa/distributed-tracing from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.