Distributed Tracing

dokhacgiakhoa/distributed-tracing

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.

3k tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

505

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/Dokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI --skill distributed-tracing

What comes with it

8 407 bytes besides the instruction

sub-skills/adaptive-sampling.md

sub-skills/correlated-logs.md

sub-skills/docker-compose.md

sub-skills/finding-errors.md

sub-skills/finding-slow-requests.md

sub-skills/http-headers.md

sub-skills/key-components.md

sub-skills/kubernetes-deployment.md

sub-skills/opentelemetry-recommended.md

sub-skills/probabilistic-sampling.md

sub-skills/propagation-in-http-requests.md

sub-skills/rate-limiting-sampling.md

sub-skills/service-dependency-graph.md

sub-skills/trace-structure.md

The instruction itself

22 sections, as written by the author

Distributed 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

How to use it

Copy the folder

Take dokhacgiakhoa/distributed-tracing from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

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.