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Found 1,836 Skills
This skill should be used when the user asks to "build a RAG pipeline", "create retrieval augmented generation", "use ColBERTv2 in DSPy", "set up a retriever in DSPy", mentions "RAG with DSPy", "context retrieval", "multi-hop RAG", or needs to build a DSPy system that retrieves external knowledge to answer questions with grounded, factual responses.
This skill should be used when users need to manage progressive delivery via Kargo CLI. It covers freight management, stage promotion, warehouse status, and deployment pipeline operations. Integrates with ArgoCD for GitOps sync. Triggers on requests mentioning Kargo, freight, stage promotion, progressive delivery, or deployment pipelines.
Build and orchestrate multi-step AI workflows combining multiple EachLabs models. Create custom pipelines, trigger executions, and manage workflow versions. Use when the user needs to chain multiple AI models or automate multi-step content creation.
Build AI-first applications with RAG pipelines, embeddings, vector databases, agentic workflows, and LLM integration. Master prompt engineering, function calling, streaming responses, and cost optimization for 2025+ AI development.
Expert patterns for multi-platform exports including export templates (Windows/Linux/macOS/Android/iOS/Web), command-line exports (headless mode), platform-specific settings (codesign, notarization, Android SDK), feature flags (OS.has_feature), CI/CD pipelines (GitHub Actions), and build optimization (size reduction, debug stripping). Use for release preparation or automated deployment. Trigger keywords: export_preset, export_template, headless_export, platform_specific, feature_flag, CI_CD, build_optimization, codesign, Android_SDK.
Guide for implementing Turborepo - a high-performance build system for JavaScript and TypeScript monorepos. Use when setting up monorepos, optimizing build performance, implementing task pipelines, configuring caching strategies, or orchestrating tasks across multiple packages.
Use when defining events, fields, and governance for GTM analytics pipelines.
Complete Guide to Pipeline Variable Management, covering variable lifecycle (creation, initialization, update, storage, transfer, query) and variable field extension (field definition, type extension, scope, inheritance). Used when users develop variable functions, handle variable transfer, extend variable fields, or debug variable issues.
Managing local .NET tools with dotnet-tools.json for consistent tooling across development environments and CI/CD pipelines.
This skill should be used when the user asks to "configure esp32-s3-box-3", "set up box-3", "create box-3 voice assistant", "display lambda on box-3", "configure ili9xxx display", "set up gt911 touch", "configure i2s audio", "es7210 microphone", "es8311 speaker", "box-3 audio pipeline", or mentions error messages like "I2S DMA buffer error", "Touch not responding", "Display flicker", "Audio popping", "PSRAM not detected". Provides complete ESP32-S3-BOX-3 hardware templates, display lambda cookbook, touch patterns, and voice assistant configurations.
Use when "data pipelines", "ETL", "data warehousing", "data lakes", or asking about "Airflow", "Spark", "dbt", "Snowflake", "BigQuery", "data modeling"
Process multiple video generation requests efficiently with Kling AI. Use when generating multiple videos or building content pipelines. Trigger with phrases like 'klingai batch', 'kling ai bulk', 'multiple videos klingai', 'klingai parallel generation'.