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Found 315 Skills
Modern, powerful structured logging for Python using structlog. Use when adding or improving logging in Python projects, configuring structlog for dev/production, working with contextvars for request-scoped logging, integrating structlog with stdlib logging, or writing tests for logging behavior.
Debug package usage guide. Use when adding debug logging, understanding log namespaces, or implementing debugging features. Triggers on debug logging requests or logging implementation.
Deploy Docker containers to production with monitoring, logging, and health checks
Zero Script QA - Testing methodology without test scripts. Uses structured JSON logging and real-time Docker monitoring for verification. Use proactively when user needs to verify features through log analysis instead of test scripts. Triggers: zero script qa, log-based testing, docker logs, 제로 스크립트 QA, ゼロスクリプトQA, 零脚本QA, QA sin scripts, pruebas basadas en logs, registros de docker, QA sans script, tests basés sur les logs, journaux docker, skriptloses QA, log-basiertes Testen, Docker-Logs, QA senza script, test basati sui log, log docker Do NOT use for: unit testing, static analysis, or projects without Docker setup.
AdvantageKit logging framework best practices for FRC Java robots (2026 / AKit 4.x). Use when implementing or reviewing AdvantageKit IO layers, Logger usage, replay-compatible subsystem design, signal logging, output logging, or deterministic simulation. Triggers on: AdvantageKit, Logger.recordOutput, Logger.processInputs, LoggedRobot, IO interfaces, IOInputs, AutoLog annotation, replay, log-replay, non-deterministic, or any AdvantageKit-related robot code task.
Flutter DevTools, Profiling, Logging & Memory Management
Elasticsearch and Elastic APM integration with Serilog structured logging for .NET applications. Use when: (1) Implementing or configuring Serilog with Elasticsearch sink, (2) Setting up Elastic APM with data streams and authentication, (3) Creating logging extension methods in Infrastructure layer, (4) Enriching logs with app-name and app-type properties, (5) Configuring log levels and environment-specific logging, (6) Questions about logging security (PII, credentials), or (7) Troubleshooting observability and monitoring setup.
Claude Code hooks configuration specialist. Use when creating hooks for tool validation, logging, notifications, or custom automation in Claude Code.
Troubleshoot and resolve issues with Azure Messaging SDKs for Event Hubs and Service Bus. Covers connection failures, authentication errors, message processing issues, and SDK configuration problems. USE FOR: event hub SDK error, service bus SDK issue, messaging connection failure, AMQP error, event processor host issue, message lock lost, send timeout, receiver disconnected, SDK troubleshooting, azure messaging SDK, event hub consumer, service bus queue issue, topic subscription error, enable logging event hub, service bus logging, eventhub python, servicebus java, eventhub javascript, servicebus dotnet, event hub checkpoint, event hub not receiving messages, service bus dead letter DO NOT USE FOR: creating Event Hub or Service Bus resources (use azure-prepare), monitoring metrics (use azure-observability), cost analysis (use azure-cost-optimization)
Control and interact with a live browser session on any scraped page — click buttons, fill forms, navigate flows, and extract data using natural language prompts or code. Use when the user needs to interact with a webpage beyond simple scraping: logging into a site, submitting forms, clicking through pagination, handling infinite scroll, navigating multi-step checkout or wizard flows, or when a regular scrape failed because content is behind JavaScript interaction. Also useful for authenticated scraping via profiles. Triggers on "interact", "click", "fill out the form", "log in to", "sign in", "submit", "paginated", "next page", "infinite scroll", "interact with the page", "navigate to", "open a session", or "scrape failed".
Set up monitoring, logging, and observability for applications and infrastructure. Use when implementing health checks, metrics collection, log aggregation, or alerting systems. Handles Prometheus, Grafana, ELK Stack, Datadog, and monitoring best practices.
This skill should be used when the user wants to "set up tracing", "monitor my ADK agent", "configure logging", "add observability", "debug production traffic", or needs guidance on monitoring deployed ADK (Agent Development Kit) agents. Covers Cloud Trace, prompt-response logging, BigQuery Agent Analytics, third-party integrations (AgentOps, Phoenix, MLflow, etc.), and troubleshooting. Part of the Google ADK (Agent Development Kit) skills suite. Do NOT use for deployment setup (use google-agents-cli-deploy) or API code patterns (use google-agents-cli-adk-code).