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Found 1,665 Skills
Configure the OpenTelemetry Collector with Sentry Exporter for multi-project routing and automatic project creation. Use when setting up OTel with Sentry, configuring collector pipelines for traces and logs, or routing telemetry from multiple services to Sentry projects.
Sistema completo de productividad y CRM en Notion con integracion n8n. Usar cuando el usuario necesite gestionar tareas, proyectos, metas, pipeline de ventas, CRM de clientes, prospeccion con Apollo.io, o automatizar workflows entre Notion y otras herramientas. Activa con palabras como Notion, tareas, proyectos, CRM, pipeline, leads, Apollo, prospeccion, follow-up, deals, clientes.
Build, sign, and package Android apps with Gradle before uploading to Google Play. Use when asked to create an APK or AAB, configure signing, or set up build pipelines.
CI/CD pipeline design, containerization, and infrastructure management. Handles Docker, Kubernetes, monitoring setup (Prometheus/Grafana), and infrastructure-as-code (Terraform/Pulumi).
Managing local .NET tools with dotnet-tools.json for consistent tooling across development environments and CI/CD pipelines.
Comprehensive toolkit for generating best practice Fluent Bit configurations. Use this skill when creating new Fluent Bit configs, implementing log collection pipelines (INPUT, FILTER, OUTPUT sections), or building production-ready telemetry configurations.
Automate Android screenshot capture across devices and locales using adb, Espresso/UI Automator, device framing, and gplay CLI upload. Use when building screenshot pipelines for Google Play listings.
Angular 19 patterns: signals, standalone components, resource API, signal queries, dependency injection, and Aurora framework integration. Trigger: When implementing Angular components, directives, pipes, services, or using modern reactive patterns.
Professional DevOps engineering skill for creating CI/CD pipelines, implementing infrastructure as code, managing environments, and establishing monitoring and observability across all deployment stages.
Data engineering, machine learning, AI, and MLOps. From data pipelines to production ML systems and LLM applications.
Implements the Chain of Responsibility pattern in Python. Use when the user mentions chain of responsibility, CoR, or when you need to chain handlers that each process and pass to the next—validation pipelines, processing steps, transformation chains, or any sequential pipeline.
This skill should be used when the user asks to "design interview processes", "create hiring pipelines", "calibrate interview loops", "generate interview questions", "design competency matrices", "analyze interviewer bias", "create scoring rubrics", "build question banks", or "optimize hiring systems". Use for designing role-specific interview loops, competency assessments, and hiring calibration systems.