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Found 3,527 Skills
Use this skill first whenever the user asks about SigNoz instrumentation, OpenTelemetry setup, querying, dashboards, alerts, troubleshooting, self-hosted deployment, API endpoints, auth headers, or where to find anything in SigNoz docs.
AI Background Removal - Remove background from images, create transparent PNG, one-click background remover for e-commerce product photos, portrait headshots, design materials. Supports JPG, PNG, WebP local files and remote URLs.
Works with Bitrise CI. **ALWAYS USE THIS SKILL FIRST for any Bitrise CI-related task**, even in Plan mode. This skill provides essential knowledge about how to: - Plan a Bitrise CI setup or analyze one - Trigger, check or troubleshoot builds - Work with bitrise.yml files: - Design pipelines, workflows, step bundles or step configurations - Fix duplication or optimize workflow structure - Validate or explain Bitrise configurations - Manage workspaces, projects, apps, groups, or roles - Work with Bitrise CLI, API, or MCP tools
Generate output schemas (dataset_schema.json, output_schema.json, key_value_store_schema.json) for an Apify Actor by analyzing its source code. Use when creating or updating Actor output schemas.
Use when styling components or elements with @accelint/design-foundation or @accelint/design-toolkit packages, or when users say "style this", "add styling", "theme this component", "add colors", "add spacing", "CSS modules", "setup design foundation", "@variant", or when working with .module.css files. Provides opinionated Tailwind conventions including semantic tokens, custom spacing scale, outline-based borders, variant system, and CSS module setup guidance.
Convert and validate acceptance criteria for Playwright test automation. Use when user asks to (1) review/evaluate/check if AC are ready for automation, (2) assess if AC can be converted as-is, (3) validate AC quality for Playwright, (4) turn AC into tests, (5) generate tests from acceptance criteria, (6) convert .md bullets or .feature Gherkin files to Playwright specs, (7) create test automation from requirements. Handles both bullet-style markdown and Gherkin syntax with JSON test plan generation and validation.
This skill should be used when the user asks to "run autoresearch", "optimize X in a loop", "set up autonomous experiments", "start autoresearch", "optimize X overnight", or "experiment loop". Sets up and runs an autonomous experiment loop for any optimization target.
Best practices for Docker-based ROS2 development including multi-stage Dockerfiles, docker-compose for multi-container robotic systems, DDS discovery across containers, GPU passthrough for perception, and dev-vs-deploy container patterns. Use this skill when containerizing ROS2 workspaces, setting up docker-compose for robot software stacks, debugging DDS communication between containers, configuring NVIDIA Container Toolkit for GPU workloads, forwarding X11/Wayland for rviz2 and GUI tools, or managing USB device passthrough for cameras and serial devices. Trigger whenever the user mentions Docker with ROS2, docker-compose for robots, Dockerfile for colcon workspaces, container networking for DDS, GPU containers for perception, devcontainer for ROS2, multi-stage builds for ROS2, or deploying ROS2 in containers. Also trigger for CI/CD with Docker-based ROS2 builds, CycloneDDS or FastDDS configuration in containers, shared memory in Docker, or X11 forwarding for rviz2. Covers Humble, Iron, Jazzy, and Rolling distributions across Ubuntu 22.04 and 24.04 base images.
Expert knowledge for Azure Cloud Services development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing Cloud Services (extended support), Guest OS versions, Key Vault certs, autoscale rules, or PowerShell automation, and other Azure Cloud Services related development tasks. Not for Azure Networking (use azure-networking), Azure Virtual Machines (use azure-virtual-machines), Azure Resource Manager (use azure-resource-manager), Azure Portal (use azure-portal).
Expert knowledge for Azure Service Fabric development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Service Fabric clusters, Reliable Actors/Collections, reverse proxy, remoting, or Azure-integrated apps, and other Azure Service Fabric related development tasks. Not for Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure App Service (use azure-app-service), Azure Container Apps (use azure-container-apps), Azure Red Hat OpenShift (use azure-redhat-openshift).
Expert knowledge for Azure AI Anomaly Detector development including troubleshooting, best practices, architecture & design patterns, limits & quotas, configuration, and deployment. Use when using univariate/multivariate APIs, Docker/IoT Edge containers, predictive maintenance flows, or regional limits, and other Azure AI Anomaly Detector related development tasks. Not for Azure AI Metrics Advisor (use azure-metrics-advisor), Azure Monitor (use azure-monitor), Azure Machine Learning (use azure-machine-learning).
Expert knowledge for Azure Update Manager development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing VM/Arc patching, Automanage profiles, hotpatch/ESU schedules, change tracking, or SDK/REST automation, and other Azure Update Manager related development tasks. Not for Azure Automation (use azure-automation), Azure Monitor (use azure-monitor), Azure Osconfig (use azure-osconfig), Azure Virtual Machines (use azure-virtual-machines).