Expert OpenTelemetry guidance for collector configuration, pipeline design, and production telemetry instrumentation across Kubernetes, ECS, serverless, and standalone deployments. Use when configuring collectors, designing pipelines, instrumenting applications, implementing sampling, managing cardinality, securing telemetry, writing OTTL transformations, or setting up AI coding agent observability (Claude Code, Codex, Gemini CLI, GitHub Copilot).
93
92%
Does it follow best practices?
Impact
94%
1.36xAverage score across 18 eval scenarios
Passed
No findings from the security scan
All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog.
signal_to_metrics correctness guidance and regression coverage for producer identity, backend resource mapping, temporality, and dashboard aggregationgen_ai.system to gen_ai.provider.name and document stable Go compile-time instrumentation as an alternative to eBPF and manual SDK work0.4.0 to 0.5.1references/anti-patterns.md: full annotated catalog of 17 anti-patterns organized by category (pipeline, Kubernetes, metrics, AI agents, OTTL)anti-patterns.md in SKILL.mdSKILL.md inline anti-patterns from 17 to 6 most critical; remaining 11 moved to references/anti-patterns.mdSKILL.md and into references/compatibility.mdreferences/ai-agents.md) with support matrix for Claude Code, Gemini CLI, GitHub Copilot, Codex CLI, and othersreferences/playbooks.md)references/connectors.md): span_metrics, service_graph, routing, and failover with stickiness requirementsfile_storage and bboltSKILL.md) with System 2 Thinking framework.claude-plugin/marketplace.json).claude-plugin
.codex-plugin
.cursor-plugin
.github
scripts
docs
evals
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