intent-solutions-io/setting-up-distributed-tracing
010-archive/backups-20251108/skill-structure-cleanup-20251108-073936/plugins/performance/distributed-tracing-setup/skills/distributed-tracing-setup/SKILL.md
This skill automates the setup of distributed tracing for microservices. It helps developers implement end-to-end request visibility by configuring context propagation, span creation, trace collection, and analysis. Use this skill when the user requests to set up distributed tracing, implement observability, or troubleshoot performance issues in a microservices architecture. The skill is triggered by phrases such as "setup tracing", "implement distributed tracing", "configure opentelemetry", or "add observability to microservices".
$ install --global
skillsauthnpx skillsauth add intent-solutions-io/plugins-nixtla setting-up-distributed-tracingInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: May 3, 2026, 6:14 AM152.7s4 files scanned
SKILL.md
- name:
- setting-up-distributed-tracing
- description:
- |
- allowed-tools:
- Read, Write, Edit, Grep, Glob, Bash
- version:
- 1.0.0
Overview
This skill streamlines the process of setting up distributed tracing in a microservices environment. It guides you through the key steps of instrumenting your services, configuring trace context propagation, and selecting a backend for trace collection and analysis, enabling comprehensive monitoring and debugging.
How It Works
- Backend Selection: Determines the preferred tracing backend (e.g., Jaeger, Zipkin, Datadog).
- Instrumentation Strategy: Designs an instrumentation strategy for each service, focusing on key operations and dependencies.
- Configuration Generation: Generates the necessary configuration files and code snippets to enable distributed tracing.
When to Use This Skill
This skill activates when you need to:
- Implement distributed tracing in a microservices application.
- Gain end-to-end visibility into request flows across multiple services.
- Troubleshoot performance bottlenecks and latency issues.
Examples
Example 1: Adding Tracing to a New Microservice
User request: "setup tracing for the new payment service"
The skill will:
- Prompt for the preferred tracing backend (e.g., Jaeger).
- Generate code snippets for OpenTelemetry instrumentation in the payment service.
Example 2: Troubleshooting Performance Issues
User request: "implement distributed tracing to debug slow checkout process"
The skill will:
- Guide the user through instrumenting relevant services in the checkout flow.
- Provide configuration examples for context propagation.
Best Practices
- Backend Choice: Select a tracing backend that aligns with your existing infrastructure and monitoring tools.
- Sampling Strategy: Implement a sampling strategy to manage trace volume and cost, especially in high-traffic environments.
- Context Propagation: Ensure proper context propagation across all services to maintain trace continuity.
Integration
This skill can be used in conjunction with other plugins to automate the deployment and configuration of tracing infrastructure. For example, it can integrate with infrastructure-as-code tools to provision Jaeger or Zipkin clusters.
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