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Found 8,794 Skills
Comprehensive mobile DevOps workflow that orchestrates mobile application development, CI/CD for mobile, app store deployment, and mobile device testing. Handles everything from mobile app build automation and testing to app store submission, monitoring, and mobile-specific DevOps practices.
Coordinate multiple specialized Skills and Task Agents through parallel, sequential, swarm, hybrid, or iterative execution strategies. Use when orchestrating multi-worker workflows, managing dependencies, or optimizing complex task execution with quality gates.
Initializes and maintains architecture artifacts with handoff-first context loading, lazy scoped updates, and compact JSON handoff output for workflow-driven invocations.
Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP. Use when: deploying generative AI models (GPT, Claude, Gemini, Llama), building orchestration workflows with templating/filtering/grounding, implementing RAG with vector databases, managing ML training pipelines with Argo Workflows, configuring content filtering and data masking for PII protection, using the Generative AI Hub for prompt experimentation, or integrating AI capabilities into SAP applications. Covers service plans (Free/Standard/Extended), model providers (Azure OpenAI, AWS Bedrock, GCP Vertex AI, Mistral, IBM), orchestration modules, embeddings, tool calling, and structured outputs.
Automates Chrome browser workflows for testing web apps, debugging with console/network logs, extracting data, filling forms, and interacting with authenticated web applications (Google Docs, Gmail, Notion). Use when testing local web apps, debugging frontend issues, automating data entry, scraping web content, or working with authenticated services. Triggers on "test my web app", "check the console", "fill this form", "extract data from [URL]", "automate [browser task]", "open [authenticated app]", or debugging web application issues. Works with Chrome via Claude in Chrome extension (MCP tools: navigate, click, form_input, read_console_messages, read_network_requests, tabs_context_mcp, gif_creator).
Comprehensive Excel spreadsheet creation, editing, and analysis using openpyxl and xlwings supporting formulas, formatting, data analysis, charts, and financial model color coding. Use when asked to "create a spreadsheet", "edit this Excel file", "analyze spreadsheet data", "preserve Excel formulas", "create financial model", or "recalculate formulas". Implements industry-standard color conventions (blue=inputs, black=formulas, green=internal links, red=external links, yellow=key assumptions) and zero formula error requirements. Works with .xlsx, .xlsm, .csv, .tsv files for professional spreadsheet workflows.
Interactive prompt refinement workflow: interrogates scope, deliverables, constraints; copies final markdown to clipboard; never writes code. Requires the Joyride extension.
Complete WordPress development workflow covering theme development, plugin creation, WooCommerce integration, performance optimization, and security hardening.
Unified testing skill — TDD workflow, unit/integration patterns, E2E/Playwright strategies. Replaces tdd-workflow + testing-patterns + webapp-testing.
This skill should be used when the user asks to "prepare conference presentation", "create presentation slides", "design poster", "make academic poster", "write promotion content", "create Twitter thread", or mentions post-acceptance conference preparation. Provides comprehensive workflow for presentation, poster, and promotion content creation.
Configure and operate Codemagic-hosted CodePush for React Native iOS and Android apps, including native plugin wiring, deployment key/server URL setup, Codemagic CI integration, and OTA release lifecycle (release, promote, patch, rollback). Use when requests mention CodePush, codepush, OTA updates, @code-push-next/react-native-code-push, @codemagic/code-push-cli, codepush.pro, deployment keys, or staged iOS/Android rollout workflows.
Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX Runtime, and OllamaSharp. Covers the full spectrum from classic ML through modern LLM orchestration to local inference. Use when adding classification, regression, clustering, anomaly detection, recommendation, LLM integration (text generation, summarization, reasoning), RAG pipelines with vector search, agentic workflows with tool calling, Copilot extensions, or custom model inference via ONNX Runtime to a .NET project. DO NOT USE FOR projects targeting .NET Framework (requires .NET 8+), the task is pure data engineering or ETL with no ML/AI component, or the project needs a custom deep learning training loop (use Python with PyTorch/TensorFlow, then export to ONNX for .NET inference).