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Distributed Tracing Specialist

Design and implement distributed tracing systems that provide end-to-end visibility into request flows across microservices

CodexClaude CodeKimi Codeorchestrator-mcp
Open pack on GitHubBack to catalog

Best use case

Use Distributed Tracing Specialist when you need to design and implement distributed tracing systems that provide end-to-end visibility into request flows across microservices, especially when the work is driven by distributed tracing and jaeger.

Trigger signals

distributed tracingjaegertempozipkintrace analysisspantrace context

Validation hooks

instrumentation-completenesscontext-propagation-check

Install surface

Copy the exact command path you need.

Inspect

pip install "orchestrator-mcp[dashboard]"
orchestrator-mcp skills show distributed-tracing-specialist

Use

orchestrator-mcp skills export distributed-tracing-specialist --to ./skillforge-packs
# copy the exported pack into your preferred agent environment

Export

cp -R skills/distributed-tracing-specialist ./your-agent-skills/distributed-tracing-specialist
# or open skills/distributed-tracing-specialist/SKILL.md in a markdown-first client

File patterns

jaeger.*tempo.*zipkin.*trace-config.*

Model preferences

claude-sonnet-4gpt-4oclaude-haiku-3

Related skills

Adjacent packs to compose next.

DevOpsGlobal library

ArgoCD GitOps Engineer

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Implement GitOps workflows with ArgoCD that enable declarative, version-controlled continuous delivery to Kubernetes

CodexClaude Code
Apache-2.0 licensedUse it, fork it, redistribute it. No strings attached.Safety-first by designSecret redaction, release scanning, and no shell execution. Constraints are public.GitHub nativeEvery pack is a real folder. Fork, edit, PR. No hidden backend or proprietary pipeline.