skills/opentelemetry/SKILL.md
Vendor-neutral observability framework for traces, metrics, and logs. MANDATORY TRIGGERS: opentelemetry, otel, otlp, distributed tracing, observability, telemetry, span, tracer, meter, opentelemetry-sdk, opentelemetry-api. Also trigger when user wants to instrument applications, set up distributed tracing, collect metrics or logs, configure an OTel Collector, implement context propagation, or use semantic conventions. When in doubt about whether to use this skill for observability tasks, use it.
npx skillsauth add abhisheksharma-17/skills-graph opentelemetryInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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The CNCF standard for vendor-neutral observability: traces, metrics, logs, and profiles across any language and backend.
Source: opentelemetry.io Spec v1.55.0 | Collector: v1.49.0 | License: Apache 2.0
| Reference | File | Read When |
|-----------|------|-----------|
| Overview & Architecture | references/00-overview.md | Getting started, installation, core architecture, quickstart |
| Traces | references/01-traces.md | Spans, span kinds, attributes, events, links, status, trace context |
| Metrics | references/02-metrics.md | Instruments (counter, gauge, histogram), views, aggregation |
| Logs | references/03-logs.md | Log data model, bridge API, correlation with traces and metrics |
| Python SDK | references/04-python-sdk.md | Python instrumentation: traces, metrics, logs, auto-instrumentation |
| JavaScript SDK | references/05-javascript-sdk.md | Node.js/browser instrumentation: traces, metrics, exporters |
| Collector Architecture | references/06-collector.md | Collector pipelines, deployment patterns, scaling |
| Collector Configuration | references/07-collector-config.md | YAML config, receivers, processors, exporters, service pipelines |
| Semantic Conventions | references/08-semantic-conventions.md | Standard attribute names for HTTP, database, messaging, RPC |
| Context Propagation | references/09-context-propagation.md | W3C TraceContext, Baggage, B3, propagators, cross-service correlation |
| Sampling | references/10-sampling.md | Head/tail sampling, ratio-based, parent-based, custom samplers |
| Exporters | references/11-exporters.md | OTLP, Jaeger, Prometheus, Zipkin, console exporters |
| Deployment | references/12-deployment.md | Docker, Kubernetes, agent/gateway patterns, production best practices |
# Python
pip install opentelemetry-api opentelemetry-sdk
pip install opentelemetry-exporter-otlp # OTLP exporter
pip install opentelemetry-instrumentation # Auto-instrumentation
# Node.js
npm install @opentelemetry/api @opentelemetry/sdk-node
npm install @opentelemetry/auto-instrumentations-node
# Collector (Docker)
docker pull otel/opentelemetry-collector-contrib
docker run -p 4317:4317 -p 4318:4318 otel/opentelemetry-collector-contrib
development
AI developer platform for experiment tracking, LLM observability, hyperparameter sweeps, artifact versioning, and model registry. MANDATORY TRIGGERS: wandb, weights and biases, weights & biases, W&B, weave, wandb.init, wandb.log. Also trigger when the user wants to track ML experiments, log training metrics, tune hyperparameters with sweeps, version datasets or models, trace LLM calls, evaluate LLM applications, or monitor AI agents. When in doubt about whether to use this skill for ML experiment tracking or LLM observability tasks, use it.
tools
Data transformation with dbt (data build tool) — SQL-based modeling, testing, documentation, incremental builds, Jinja macros, snapshots, semantic layer, and deployment. MANDATORY TRIGGERS: dbt, data build tool, dbt-core, dbt Cloud, dbt run, dbt build, dbt test. Also trigger when the user wants to build SQL transformation pipelines, define data models with refs, write data quality tests, create incremental models, use Jinja macros in SQL, manage data warehouse transformations, or set up analytics engineering workflows. When in doubt about whether to use this skill for data transformation tasks, use it.
tools
Open-source AI-native vector database for semantic search, hybrid search, RAG, and agent-driven workflows with multi-tenancy and model provider integrations. MANDATORY TRIGGERS: weaviate, Weaviate, weaviate-client, near_text, near_vector, hybrid search vector database, WeaviateClient, weaviate.connect, collections.create, query.near_text, query.hybrid, query.bm25. Also trigger when user wants to build semantic search, store vector embeddings, implement RAG pipelines, combine keyword and vector search, set up multi-tenant vector storage, use named vectors, or integrate vector DB with LLM providers. When in doubt about whether to use this skill for vector database or semantic search tasks, use it.
tools
End-to-end testing and browser automation framework by Microsoft — locators, assertions, fixtures, network mocking, visual testing, tracing, codegen, API testing, and CI/CD integration. MANDATORY TRIGGERS: playwright, Playwright, @playwright/test, page.goto, page.click, page.locator, getByRole, getByText, getByTestId, expect(page), toHaveScreenshot, playwright.config, npx playwright. Also trigger when user wants to write E2E tests, automate browser interactions, test across Chromium/Firefox/WebKit, mock network requests in tests, do visual regression testing, generate tests with codegen, or set up CI test pipelines. When in doubt about whether to use this skill for browser testing or E2E automation tasks, use it.