Distributed Tracing
Tracks requests across multiple services to pinpoint performance bottlenecks and diagnose issues quickly for improved system observability.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add distributed-tracing npx -- -y @trustedskills/distributed-tracing
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"distributed-tracing": {
"command": "npx",
"args": [
"-y",
"@trustedskills/distributed-tracing"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The distributed-tracing skill enables AI agents to monitor and analyze requests across multiple services in a microservices architecture. It provides visibility into request flow, latency, and error tracking by capturing detailed traces of interactions between different components.
When to use it
- Debugging complex service-to-service communication issues in production environments
- Optimizing performance bottlenecks in distributed systems
- Investigating failures that span multiple services or APIs
- Ensuring compliance with SLAs by monitoring end-to-end request latency
Key capabilities
- Captures trace data across microservices
- Tracks request flow and latency metrics
- Identifies error points in service interactions
- Integrates with observability tools for centralized logging
Example prompts
- "Trace the request path from the user API to the payment gateway."
- "Identify which service caused a 503 error in the last hour."
- "Generate a latency report for all services over the past 24 hours."
Tips & gotchas
- Ensure all microservices are instrumented with tracing agents for full visibility.
- High cardinality data can increase storage and processing overhead, so consider sampling strategies.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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