By addyosmani
Instrument code with full observability instrumentation (logging, metrics, tracing, alerting) to make production behavior visible and diagnosable. Use when diagnosing production issues.
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Conducts multi-axis code review before merging any change. Use when reviewing code written by yourself, another agent, or a human, to assess quality across multiple dimensions before it enters the main branch.
Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines, automating quality gates, configuring test runners in CI, or establishing deployment strategies.
Hardens code against vulnerabilities. Use when handling user input, authentication, data storage, or external integrations, or building any feature that accepts untrusted data, manages sessions, or calls third-party services.
Records decisions and documentation. Use when making architectural decisions, changing public APIs, shipping features, or recording context that future engineers and agents need to understand the codebase.
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
npx claudepluginhub p/addyosmani-observability-skills-observability-and-instrumentationObservability engineering agents providing expertise in tracing, monitoring, and logging
Editorial "Observability & Monitoring" bundle for Claude Code from Antigravity Awesome Skills.
Traceway skills: /tw:traceway debugs production issues through the traceway CLI, /tw:traceway-setup instruments a project to report to a Traceway instance.
Skills, agents, and workflows for Honeycomb observability — query patterns, production investigations, SLOs, OpenTelemetry instrumentation, and Beeline migration. Designed to complement the Honeycomb MCP server.
Use this agent when you need to implement comprehensive monitoring, observability, and alerting systems for enterprise B2B applications. This agent specializes in APM, logging, metrics, distributed tracing, SLA monitoring, and proactive incident management for business-critical systems. Examples:
Production reliability and observability across all environments. Master Datadog, CloudWatch, monitoring, incident response, SRE practices, and audit logging for enterprise compliance.