Guide for creating railstart preset configuration files. Use when building new presets, customizing Rails 8 app generation, creating team-specific configurations, or defining opinionated Rails stacks. Covers YAML structure, ID-based merging, post-action configuration, and testing presets for the railstart gem.
Production-grade observability stack with Prometheus metrics, Grafana dashboards, PromQL query language, alerting rules, and AI-powered anomaly detection for modern cloud-native applications
Adds a new type of event that gets persisted to the event log. Use this when adding new kinds of write operations to the system or when adding new events to existing code.
Generates structured logging infrastructure using os.log/Logger to replace print() statements. Use when user wants to add proper logging, replace print statements, or set up app logging.
Spring Boot 4 observability with Actuator, Micrometer, and OpenTelemetry. Use when configuring health indicators, health checks, custom metrics, distributed tracing, production endpoint exposure, Kubernetes probes, Cloud Run probes, logging, or monitoring. Covers Actuator endpoint security, Micrometer Timer/Counter/Gauge patterns, OpenTelemetry span customization, liveness/readiness probe setup, and metric tag best practices.
Log API requests with correlation IDs, performance metrics, and security audit trails. Use when auditing API requests and responses. Trigger with phrases like "log API requests", "add API logging", or "track API calls".
Application monitoring, logging systems, and alerting
Expert guidance for emitting high-quality, cost-efficient OpenTelemetry telemetry. Use when instrumenting applications with traces, metrics, or logs. Triggers on requests for observability, telemetry, tracing, metrics collection, logging integration, or OTel setup.
Set up minikube, install Spark Operator and Quanton Operator, and run an example Quanton Spark job to demo that everything works
升级 taxue 系列 skills 到最新版本 触发：/taxue-upgrade、/升级taxue、「升级踏雪技能」
Help migrate from Census, Hightouch, Polytomic, or custom scripts to drt. Use this skill when a user wants to replace their existing Reverse ETL tool with drt, or asks how to replicate a sync they had in another tool.
Use the railstart gem to scaffold Rails applications, run `railstart init` or `railstart new`, create or refine railstart presets, customize `~/.config/railstart/config.yaml`, debug config or post-action behavior, or contribute changes to the gem itself. Trigger when a task involves Railstart CLI usage, preset authoring, YAML question or post-action configuration, template post-actions, or the gem's CLI/config/generator implementation.
Sets up observability: structured logging, metrics collection, distributed tracing, alerting rules, dashboard design, SLI/SLO/SLA definition. Covers ELK, Prometheus, Grafana, Datadog, OpenTelemetry. Use when implementing monitoring, debugging production issues, or designing observability architecture.
Monitoring and observability patterns. Prometheus RED/USE metrics, structured logging with Pino/Winston, OpenTelemetry tracing, SLO-based alerting, Grafana dashboards, burn rate alerts.
Execute the Flywheel bead lifecycle — find, claim, implement, review, close
Set up and configure Arize tracing for Claude Code sessions or Agent SDK applications. Use when users want to set up tracing, configure Arize AX or Phoenix, create a new Arize project, get an API key, enable/disable tracing, or troubleshoot tracing issues. Triggers on "set up tracing", "configure Arize", "configure Phoenix", "enable tracing", "setup-claude-code-tracing", "create Arize project", "get Arize API key", "agent sdk tracing", or any request about connecting Claude Code or the Agent SDK to Arize or Phoenix for observability.
Expert guidance for setting up FeatBit's OpenTelemetry observability integration. Use when users ask about monitoring FeatBit, enabling metrics/traces/logs, configuring OTEL backends like Seq/Jaeger/Prometheus, or troubleshooting FeatBit performance. Do not use for application-level SDK instrumentation or Azure Monitor/Application Insights questions.
Insert detected flake polygons into KLayout as GDS geometry using the geometry skill's add_polygon.py. Use after combine completes to commit traces.json contours as polygons on the correct layers.
Transform detection results into the common full_stack coordinate system, build unified traces.json, and draw overlay images. Use after align and detect steps are complete.
Query and explore distributed traces in Grafana Tempo. Use when a user asks to pull tracing data for analysis.
Production log analysis and diagnostics skill. Use this skill when asked to: - Fetch logs from a monitoring API - Analyze log patterns and errors - Diagnose production issues - Generate log summaries and statistics
Expert skill for debugging Keboola Python components. Use when a component is failing, a job returned an error, or behavior is unexpected. Uses whatever tools are available — Keboola MCP for job/config inspection, Datadog for logs, Linear/Jira for issue context, Slack for incident history, and local Bash for reproducing issues. Invoke for "failing job", "exit code 2", "component throwing an error", "why is my component not working".
