a5c-ai/opentelemetry-integrator
library/specializations/sdk-platform-development/skills/opentelemetry-integrator/SKILL.md
Integrate OpenTelemetry tracing and metrics into SDKs
$ install --global
skillsauthnpx skillsauth add a5c-ai/babysitter opentelemetry-integratorInstall 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: Apr 2, 2026, 1:50 PM55.9s2 files scanned
SKILL.md
- name:
- opentelemetry-integrator
- description:
- Integrate OpenTelemetry tracing and metrics into SDKs
OpenTelemetry Integrator Skill
Overview
This skill integrates OpenTelemetry observability into SDKs, providing distributed tracing, metrics collection, and context propagation for comprehensive API monitoring.
Capabilities
- Add tracing spans to SDK operations
- Export metrics (latency, errors, throughput)
- Configure context propagation (W3C Trace Context)
- Support multiple exporters (OTLP, Jaeger, Zipkin)
- Implement custom span attributes
- Configure sampling strategies
- Add semantic conventions for SDK operations
- Support baggage propagation
Target Processes
- Observability Integration
- Telemetry and Analytics Integration
- Logging and Diagnostics
Integration Points
- OpenTelemetry SDKs (all languages)
- Jaeger for distributed tracing
- Prometheus for metrics
- Grafana for visualization
- Cloud observability platforms
Input Requirements
- Tracing requirements
- Metrics to collect
- Exporter configurations
- Sampling strategy
- Semantic convention mappings
Output Artifacts
- OpenTelemetry instrumentation
- Custom span definitions
- Metrics collectors
- Exporter configurations
- Propagator setup
- Sampling configuration
Usage Example
skill:
name: opentelemetry-integrator
context:
tracing:
enabled: true
propagator: w3c-trace-context
sampling: parentBased
sampleRate: 0.1
metrics:
enabled: true
exportInterval: 30s
metrics:
- sdk.request.duration
- sdk.request.count
- sdk.error.count
exporters:
traces: otlp
metrics: prometheus
serviceName: "my-sdk"
Best Practices
- Follow OpenTelemetry semantic conventions
- Use appropriate sampling rates
- Propagate context across boundaries
- Include useful span attributes
- Avoid high-cardinality attributes
- Configure exporters for production
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