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Found 146 Skills
Use when you need legal PDF to markdown extraction plus clause chunking and embedding prep; pair with addon-rag-ingestion-pipeline and architect-python-uv-batch.
Tokenize, tag, and analyze natural language text using Apple's NaturalLanguage framework and translate between languages with the Translation framework. Use when adding language identification, sentiment analysis, named entity recognition, part-of-speech tagging, text embeddings, or in-app translation to iOS/macOS/visionOS apps.
Create production-grade motion graphics and videos using Remotion (React). Use whenever the user wants branded video content, product demos, data-driven video generation, or motion graphics with audio sync, web fonts, TailwindCSS styling, or media embedding. Covers: marketing videos, product launches, data visualizations, social media content, personalized video at scale, explainer videos with voiceover, animated charts, 3D scenes via Three.js. Requires Node.js and Claude Code environment. Trigger on: "create a Remotion video", "React video", "motion graphics", "branded video", "product demo video", "remotion", "video with audio", "TailwindCSS video", "data-driven video generation", "personalized video at scale", "video with voiceover". For mathematical animations, algorithm visualizations, or headless container rendering, use concept-to-video (Manim) instead.
Use when wrapping UIKit views/controllers in SwiftUI, embedding SwiftUI in UIKit, or debugging UIKit-SwiftUI interop issues. Covers UIViewRepresentable, UIViewControllerRepresentable, UIHostingController, UIHostingConfiguration, coordinators, lifecycle, state binding, memory management.
Use when adding interactive 3D scenes from Spline.design to web projects, including React embedding and runtime control API.
Non-glass SwiftUI APIs from WWDC 2025 (iOS 26, macOS 26, visionOS 26). Covers @Animatable macro, TextEditor with AttributedString/AttributedTextSelection/AttributedTextFormattingDefinition, FindContext, WebView/WebPage, UIHostingSceneDelegate, ToolbarSpacer, Slider ticks, windowResizeAnchor, dragContainer, draggable(containerItemID:), scrollEdgeEffectStyle, tabBarMinimizeBehavior. Use when building rich text editors, embedding web content, bridging UIKit scenes to SwiftUI, or configuring scroll edge effects and tab bar minimization. DO NOT use for Liquid Glass design patterns (use apple-liquid-glass-design), general Swift or pre-iOS 26 SwiftUI (use swiftui-ui-patterns).
Query the ExoPriors Scry API -- SQL-over-HTTPS search across 229M+ entities spanning forums, papers, social media, government records, and prediction markets. Includes cross-platform author identity resolution (actors, people, aliases), OpenAlex academic graph navigation (authors, citations, institutions, concepts), shareable artifacts, and structured agent judgements. Use when the task involves: Scry API, ExoPriors, /v1/scry/query, scry.search, scry.entities, materialized views, corpus search, epistemic infrastructure, 229M entities, lexical search, BM25, structured agent judgements, scry shares, cross-corpus analysis, who is this person, cross-platform identity, OpenAlex, citation graph, coauthor graph, academic papers, author lookup. NOT for: semantic/vector search composition or embedding algebra (use scry-vectors), LLM-based reranking (use scry-rerank), or the user's own local Postgres / non-ExoPriors data sources.
Vercel AI SDK expert guidance. Use when building AI-powered features — chat interfaces, text generation, structured output, tool calling, agents, MCP integration, streaming, embeddings, reranking, image generation, or working with any LLM provider.
Use this skill when building production LLM applications, implementing guardrails, evaluating model outputs, or deciding between prompting and fine-tuning. Triggers on LLM app architecture, AI guardrails, output evaluation, model selection, embedding pipelines, vector databases, fine-tuning, function calling, tool use, and any task requiring production AI application design.
Guidance for text embedding retrieval tasks using sentence transformers or similar embedding models. This skill should be used when the task involves loading documents, encoding text with embedding models, computing similarity scores (cosine similarity), and retrieving/ranking documents based on semantic similarity to a query. Applies to MTEB benchmark tasks, document retrieval, semantic search, and text similarity ranking.
Guidance for querying ML model leaderboards and benchmarks (MTEB, HuggingFace, embedding benchmarks). This skill applies when tasks involve finding top-performing models on specific benchmarks, comparing model performance across leaderboards, or answering questions about current benchmark standings. Covers strategies for accessing live leaderboard data, handling temporal requirements, and avoiding common pitfalls with outdated sources.
Retrieval-Augmented Generation patterns including chunking, embeddings, vector stores, and retrieval optimizationUse when "rag, retrieval augmented, vector search, embeddings, semantic search, document qa, rag, retrieval, embeddings, vector, search, llm" mentioned.