Observability skills

This skill analyzes Axiom usage patterns to identify waste, then builds dashboards and monitors to reduce costs and optimize data ingest.

This skill helps you implement and register SDK lifecycle hooks to customize requests, headers, telemetry, and error handling across languages.

This skill helps architects and developers apply senior Go playbooks to design, review, test, and productionize services for reliability and security.

This skill enforces defense-in-depth by validating data at every layer to prevent bugs and ensure reliable system behavior.

This skill helps you manage Linux systems effectively by guiding process, filesystem, permissions, and packaging tasks with practical commands.

This skill automates Android app testing and debugging using semantic UI navigation, emulator lifecycle management, and accessibility checks.

This skill helps you implement end-to-end observability using OpenTelemetry, Jaeger, and tracing to map services, collect logs and metrics across microservices.

This skill helps you query and explore OpenTelemetry metrics in Axiom MetricsDB, discovering metrics, tags, values, and crafting effective queries.

This skill exposes structured logs and telemetry to coding agents, enabling runtime visibility and queries for debugging and observability.

This skill guides integration of wl-telemetry to unify Honeycomb, LogRocket, and Mixpanel with consistent correlation IDs for end-to-end tracing.

This skill loads and manages execution of existing projects, tracking progress and validating tasks to ensure steady completion.

This skill helps you identify and terminate resource-hogging processes to reclaim CPU, memory, and battery while providing a clear hunt report.

This skill processes multimedia with ImageMagick to convert, resize, apply effects, and batch-optimize images for web and media workflows.

This skill helps you create and configure Claude Code hooks for validation, logging, and automation to streamline workflows.

This skill applies Model-First Reasoning to code tasks, ensuring a formal model guides implementation for correctness and reduced hallucinations.

This skill helps you manage long-running commands using tmux sessions and windows, enabling background execution and easy status checks.

This skill enables structured observability for Python apps by instrumenting traces, logs, and data scrubbing with Logfire.

This skill helps you diagnose and debug failed Beam.ai tasks by tracing Langfuse outputs and generating actionable reports.

This skill lists HubSpot email engagements from your CRM, returning recent emails with subject, preview, and status to inform follow-ups.

This skill helps you implement and manage service meshes like Istio or Linkerd for secure, observable, and reliable microservice communication.

This skill helps you determine appropriate hardening levels for n8n workflows, tailoring validation, logging, and error handling to risk and context.