Comprehensive guide for BlazeMeter Network & Security, including allowlisting, DNS configuration, and security best practices. Use when working with network and security for (1) Configuring allowlists for BlazeMeter engines and infrastructure, (2) Disabling DNS caching, (3) Implementing security best practices for API Monitoring, or any other network and security tasks.
Comprehensive guide for BlazeMeter Scripting, including Groovy/Beanshell, JMeter plugins, JMeter DSL, and API Monitoring scripting. Use when working with scripting for (1) Writing files in Groovy/Beanshell scripts, (2) Using non-standard JMeter plugins, (3) Creating JMeter tests with JMeter DSL, (4) Writing custom scripts for API Monitoring (custom libraries, included libraries, initial script, reusable snippets), or any other scripting tasks.
Comprehensive guide for BlazeMeter Performance Testing, including load configuration, reporting, JMeter configuration, Taurus, scenarios, and advanced features. Use when working with Performance tests for (1) Configuring load settings and distribution, (2) Creating and running tests (JMeter, Browser, URL/API, Multi-Test), (3) Analyzing reports and filtering data, (4) Configuring JMeter properties and scenarios, (5) Using Taurus for test configuration, (6) Advanced features (AI Log Analysis, APM Integration, Network Emulation, Mainframe Testing), (7) Troubleshooting test issues, or any other Performance Testing tasks.
Step-by-step guide for adding a new observability/tracing provider to Agent Kernel. Use this skill when you need to integrate a new tracing backend (beyond Langfuse and OpenLLMetry/Traceloop). Covers implementing the BaseTrace interface, creating framework-specific traced runners, configuration, and testing.
Calltrackingmetrics integration. Manage Accounts. Use when the user wants to interact with Calltrackingmetrics data.
Sentry error tracking and performance monitoring for real-time visibility into application errors, performance issues, and release health
Start Telegram monitoring. Auto-enables voice pipeline if ElevenLabs or OpenAI TTS keys are detected.
Error monitoring and performance tracking with Sentry SDK - error capture, breadcrumbs, performance spans, cron monitoring, source maps, structured logging, profiling, and enrichment helpers for Bun/Node.js/Next.js.
Find lat/lon coordinates for a place mentioned in a note and add them to the frontmatter for map integration
Kubernetes deployment expert for Apache Kafka. Guides K8s deployments using Helm charts, operators (Strimzi, Confluent), StatefulSets, and production best practices. Activates for kubernetes, k8s, helm, kafka on kubernetes, strimzi, confluent operator, kafka operator, statefulset, kafka helm chart, k8s deployment, kubernetes kafka, deploy kafka to k8s.
Kafka monitoring and observability expert. Guides Prometheus + Grafana setup, JMX metrics, alerting rules, and dashboard configuration. Activates for kafka monitoring, prometheus, grafana, kafka metrics, jmx exporter, kafka observability, monitoring setup, kafka dashboards, alerting, kafka performance monitoring, metrics collection.
Handle production incidents with SRE best practices including detection, investigation, mitigation, recovery, and postmortems. Use when dealing with production outages, SEV1/SEV2 incidents, creating postmortems, or updating runbooks.
Structured logging with tracing and tracing-subscriber
Build production-ready monitoring, logging, and tracing systems. Implements comprehensive observability strategies, SLI/SLO management, and incident response workflows. Use PROACTIVELY for monitoring infrastructure, performance optimization, or production reliability.
Logging and observability patterns for Script Kit GPUI. Use when adding logs, debugging, or understanding the logging system. Covers JSONL format, compact AI log mode, correlation IDs, and error handling.
Translate a tracking plan into an SDK-specific instrumentation guide. Shows how to make identify, group, and track calls using the target analytics SDK with real template code, architecture guidance, and constraint documentation. Outputs .telemetry/instrument.md. Covers 24 analytics destinations across product analytics, CDPs, web analytics, error monitoring, feature flags, and session tools. Use when the user has a tracking plan and needs to know how to implement it with a specific SDK like Segment, Amplitude, Mixpanel, PostHog, Accoil, Google Analytics, Sentry, LaunchDarkly, or via generic HTTP POST. Also use when user asks 'create instrumentation guide,' 'how to implement tracking,' 'SDK guide,' or 'generate implementation guide.'
Break a PRD into independently-grabbable Linear tickets using tracer-bullet vertical slices, grouped under a parent ticket with child subtickets.
Turn a PRD into a multi-phase implementation plan using tracer-bullet vertical slices, saved as a local Markdown file in ./plans/.
Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability. Masters log analysis, distributed tracing, Kubernetes debugging, performance optimization, and root cause analysis. Handles production outages, system reliability, and preventive monitoring. Use PROACTIVELY for debugging, incident response, or system troubleshooting.
Integrate Dapr for pub/sub messaging and scheduled jobs. Use this skill when implementing event-driven architectures with Dapr, handling CloudEvent message formats, setting up pub/sub subscriptions, or scheduling jobs with Dapr Jobs API. Covers common pitfalls like CloudEvent unwrapping and callback URL patterns.
Containerizes applications with impact-aware Dockerfiles and docker-compose configurations. This skill should be used when containerizing projects for Docker, creating Dockerfiles, docker-compose files, or preparing applications for Kubernetes deployment. It performs impact analysis first (env vars, network topology, auth/CORS), then generates properly configured container configs. Invokes the impact-analyzer subagent for comprehensive project scanning.
Debug production issues in Kubernetes clusters. Use this skill when investigating 500 errors, missing functionality, silent failures, or service integration issues. Covers systematic log analysis, tracing requests across microservices, and common bug patterns.
Query Prometheus API for cluster metrics, alerts, and observability data. Use when investigating cluster health, performance issues, resource utilization, or alert status. Triggers on questions like "what's the CPU usage", "show me firing alerts", "check memory pressure", "query prometheus for", or any PromQL-related requests.
