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Found 956 Skills
Build voice AI agents with LiveKit Cloud and the Agents SDK. Use when the user asks to "build a voice agent", "create a LiveKit agent", "add voice AI", "implement handoffs", "structure agent workflows", or is working with LiveKit Agents SDK. Provides opinionated guidance for the recommended path: LiveKit Cloud + LiveKit Inference. REQUIRES writing tests for all implementations.
Interact with Langfuse and access its documentation. Use when needing to (1) query or modify Langfuse data programmatically via the CLI — traces, prompts, datasets, scores, sessions, and any other API resource, (2) look up Langfuse documentation, concepts, integration guides, or SDK usage, or (3) understand how any Langfuse feature works. This skill covers CLI-based API access (via npx) and multiple documentation retrieval methods.
Fetches Pendle Hosted SDK metadata using the Grimoire venue CLI. Use when you need supported chains, aggregators, markets, assets, or market token details.
Microsoft Store Developer CLI (msstore) for publishing Windows applications to the Microsoft Store. Use when asked to configure Store credentials, list Store apps, check submission status, publish submissions, manage package flights, set up CI/CD for Store publishing, or integrate with Partner Center. Supports Windows App SDK/WinUI, UWP, .NET MAUI, Flutter, Electron, React Native, and PWA applications.
Bridge UIKit and SwiftUI — wrap UIKit views/view controllers in SwiftUI using UIViewRepresentable/UIViewControllerRepresentable, embed SwiftUI in UIKit with UIHostingController, and handle the Coordinator delegate pattern. Use when integrating camera previews, map views, web views, mail compose, document scanners, PDF renderers, text views with attributed text, or any third-party UIKit SDK into a SwiftUI app. Also use when migrating a UIKit app to SwiftUI incrementally, or when needing UIKit features not yet available in native SwiftUI.
Expert guide for participating in the SOMA network — a decentralized system that trains a foundation model through competition. Provides data submission workflows, model training pipelines, reward claiming, SDK code generation, CLI command guidance, and competitive strategy optimization. Use when user mentions "SOMA", "soma-sdk", "soma-models", "submit data to SOMA", "train a SOMA model", "SOMA targets", "SOMA rewards", "next-byte prediction network", "decentralized model training", or asks about earning SOMA tokens through data or model contributions. Do NOT use for general machine learning, PyTorch, or JAX questions unrelated to the SOMA network.
Use when an agent is writing, debugging, or updating code against Apple frameworks and needs local Xcode documentation to resolve compile errors, discover the right symbols, check API shape or availability, confirm usage patterns, or inspect related articles and topics for newly released SDK features.
Guides the agent through migrating an existing Ionic/Capacitor project from Ionic Appflow to Capawesome Cloud. Detects which Appflow features are in use (Live Updates, Native Builds, App Store Publishing) and provides step-by-step migration for each feature to its Capawesome Cloud equivalent. Covers SDK replacement, configuration mapping, API migration, CI/CD pipeline updates, and verification. References the capawesome-cloud skill for detailed Capawesome Cloud setup procedures. Do not use for setting up Capawesome Cloud from scratch without an existing Appflow project, for non-Capacitor mobile frameworks, or for migrating Ionic Enterprise plugins.
Guides the agent through upgrading a Capacitor plugin to a newer major version. Supports upgrades from Capacitor 4 through 8, including multi-version jumps. Covers automated upgrade via official migration tools, Android SDK targets, Gradle configuration, Java/Kotlin versions, iOS deployment targets, and manual step-by-step fallback for each version. Do not use for app project upgrade or non-Capacitor plugin frameworks.
Develop high-performance C/C++ plugins for Stata using the stplugin.h SDK. Use when the user asks to create a Stata plugin, write C/C++ code for Stata, accelerate a Stata command with C, build cross-platform Stata plugins, or translate/port a Python or R package into Stata. Covers the full lifecycle: SDK setup, data flow, memory safety, .ado wrappers with preserve/merge, cross-platform compilation, performance optimization (pthreads, pre-sorted indices, XorShift RNG), debugging, and distribution via net install. Also includes a translation workflow for porting Python/R packages to Stata — wrapping existing C++ backends when available, or writing C from scratch when not.
Documentation reference for writing Python code using the browser-use open-source library. Use this skill whenever the user needs help with Agent, Browser, or Tools configuration, is writing code that imports from browser_use, asks about @sandbox deployment, supported LLM models, Actor API, custom tools, lifecycle hooks, MCP server setup, or monitoring/observability with Laminar or OpenLIT. Also trigger for questions about browser-use installation, prompting strategies, or sensitive data handling. Do NOT use this for Cloud API/SDK usage or pricing — use the cloud skill instead. Do NOT use this for directly automating a browser via CLI commands — use the browser-use skill instead.
Integrate Gemini API with @google/genai SDK (NOT deprecated @google/generative-ai). Text generation, multimodal (images/video/audio/PDFs), function calling, thinking mode, streaming. 1M input tokens. Prevents 14 documented errors. Use when: Gemini integration, multimodal AI, reasoning with thinking mode. Troubleshoot: SDK deprecation, model not found, context window, function calling errors, streaming corruption, safety settings, rate limits.