distributed-tracing
This skill provides concrete instructions for implementing distributed tracing with Jaeger and Tempo. It includes deployment guides for Kubernetes and Docker, instrumentation examples for Python, Node.js, and Go, and practical troubleshooting advice. The content covers sampling strategies, context propagation, and trace analysis queries.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install microck-ordinary-claude-skills-distributed-tracing
Repository
Skill path: skills_categorized/monitoring/distributed-tracing
This skill provides concrete instructions for implementing distributed tracing with Jaeger and Tempo. It includes deployment guides for Kubernetes and Docker, instrumentation examples for Python, Node.js, and Go, and practical troubleshooting advice. The content covers sampling strategies, context propagation, and trace analysis queries.
Open repositoryBest for
Primary workflow: Write Technical Docs.
Technical facets: DevOps, Tech Writer.
Target audience: DevOps teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Microck.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install distributed-tracing into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Microck/ordinary-claude-skills before adding distributed-tracing to shared team environments
- Use distributed-tracing for devops workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.