Observability Bootstrapper with Grok (v1.3.1)
Step-by-step instrumentation for production tracing, logging, metrics, and health checks using OpenTelemetry.
- Standardize observability across multiple microservices or teams.
- Retrofit legacy services with correlated traces and structured logs.
- Implement Kubernetes-native health probes and RED metrics.
$5
· or 25 creditsSecure checkout via Stripe
Included in download
- Standardize observability across multiple microservices or teams.
- Retrofit legacy services with correlated traces and structured logs.
- terminal, file_read, file_write automation included
- Ready for TUI**.
Sample input
User request: "Help me add observability to my Node.js Express service that will run on Kubernetes. I want to use OpenTelemetry but might send data to Datadog later."
Sample output
Generated Output (excerpt): ## Observability Implementation Plan **Service Context** Node.js + Express service. Target: OpenTelemetry (with future export to Datadog). Deployed on Kubernetes. **Recommended Stack** - Primary: OpenTelemetry (OTLP) - Secondary: Can export to Datadog APM without code changes **Instrumentation Approach** | Pillar | Implementation Summary | Key Decisions | |-------------------|-----------------------------------------------------|----------------------------------------| | Tracing | OpenTelemetry SDK + auto-instrumentation for Express | W3C traceparent propagation | | Structured Logs | Winston JSON + trace correlation | Redaction via express-winston | | Health Probes | /health/live, /health/ready, /health/startup | Readiness checks DB + Redis | | RED Metrics | OpenTelemetry metrics + Prometheus exporter | Labels limited to route + status_code | **Phased Rollout Plan** - **Phase 1 (Must-have):** Structured logging with trace IDs + basic health probes + RED metrics on HTTP endpoints - **Phase 2 (Should-have):** Full distributed tracing with outbound propagation + custom business metrics - **Phase 3 (Nice-to-have):** Starter Grafana dashboards + basic alert rules **Configuration Strategy** All values (service name, environment, sampling rate, OTLP endpoint) are loaded from environment variables via a central config module.
Observability Bootstrapper with Grok (v1.3.1)
Step-by-step instrumentation for production tracing, logging, metrics, and health checks using OpenTelemetry.
$5
· or 25 creditsSecure checkout via Stripe
Included in download
- Standardize observability across multiple microservices or teams.
- Retrofit legacy services with correlated traces and structured logs.
- terminal, file_read, file_write automation included
- Ready for TUI**.
- Instant install
Sample input
User request: "Help me add observability to my Node.js Express service that will run on Kubernetes. I want to use OpenTelemetry but might send data to Datadog later."
Sample output
Generated Output (excerpt): ## Observability Implementation Plan **Service Context** Node.js + Express service. Target: OpenTelemetry (with future export to Datadog). Deployed on Kubernetes. **Recommended Stack** - Primary: OpenTelemetry (OTLP) - Secondary: Can export to Datadog APM without code changes **Instrumentation Approach** | Pillar | Implementation Summary | Key Decisions | |-------------------|-----------------------------------------------------|----------------------------------------| | Tracing | OpenTelemetry SDK + auto-instrumentation for Express | W3C traceparent propagation | | Structured Logs | Winston JSON + trace correlation | Redaction via express-winston | | Health Probes | /health/live, /health/ready, /health/startup | Readiness checks DB + Redis | | RED Metrics | OpenTelemetry metrics + Prometheus exporter | Labels limited to route + status_code | **Phased Rollout Plan** - **Phase 1 (Must-have):** Structured logging with trace IDs + basic health probes + RED metrics on HTTP endpoints - **Phase 2 (Should-have):** Full distributed tracing with outbound propagation + custom business metrics - **Phase 3 (Nice-to-have):** Starter Grafana dashboards + basic alert rules **Configuration Strategy** All values (service name, environment, sampling rate, OTLP endpoint) are loaded from environment variables via a central config module.
About This Skill
Production-Ready Observability Instrumentation
Modern services require more than just raw logs to be maintainable. This skill eliminates the guesswork involved in instrumenting production services by providing a disciplined framework for distributed tracing, structured logging, health probes, and RED metrics (Rate, Errors, Duration).
What it does
The Observability Bootstrapper acts as a specialized architect that assesses your service context and generates a concrete implementation plan. It moves beyond generic "hello world" examples to provide production-grade instrumentation code tailored to your language and framework.
- Phase-Based Assessment: Analyzes your tech stack to recommend the best observability backend (OpenTelemetry, Datadog, AWS X-Ray, etc.).
- Pillar Implementation: Generates precise code for tracing propagation, JSON structured logging with trace IDs, and Kubernetes-ready health probes.
- Safety-First Metrics: Configures metrics without high-cardinality pitfalls that explode costs and storage.
- Phased Rollout: Delivers a step-by-step roadmap from must-have essentials to nice-to-have dashboarding.
Why developer-lead teams use this
Instead of manually hunting for SDK documentation and best practices, this skill provides an immediate, battle-tested structure. It ensures consistency across microservices and helps you avoid common mistakes like logging PII or missing trace correlation between service boundaries.
Supported Platforms
Supports major languages (Node.js, Python, Go, Java) and platforms (Kubernetes, Serverless, Docker) with a preference for OpenTelemetry standards.
Use Cases
- Standardize observability across multiple microservices or teams.
- Retrofit legacy services with correlated traces and structured logs.
- Implement Kubernetes-native health probes and RED metrics.
- Transition from vendor-locked SDKs to vendor-neutral OpenTelemetry.
Known Limitations
- Focuses on instrumentation and code, not dashboard UI design. - Not suited for legacy monolithic apps without SDK support. - Avoids high-cardinality metrics by design.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/observability-bootstrapper-with-grok -o /tmp/observability-bootstrapper-with-grok.zip && unzip -o /tmp/observability-bootstrapper-with-grok.zip -d ~/.claude/skills && rm /tmp/observability-bootstrapper-with-grok.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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This skill helps teams add sustainable observability without over-engineering. It focuses on the three pillars (logs, metrics, traces) with pragmatic defaults.
This skill follows the open SKILL.md standard and is specifically optimized for **Grok** inside the **Grok Build CLI / TUI**.