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Found 163 Skills
Use when implementing data persistence in iOS apps with SwiftData or CoreData, encountering migration errors, performance issues with fetches, or choosing between persistence frameworks
Generate videos using ByteDance's Seedance model. It supports text-to-video and image-to-video functions, and calls APIs through the volcengine-ark SDK. This skill is activated when users need to generate videos, create video content, or produce videos based on text or images.
Expert Cinema Director skill for Seedance 2.0 (ByteDance) — high-fidelity video generation using technical camera grammar and multimodal references. Supports text-to-video, image-to-video, and video extension.
Expert prompt engineering for Seedance 2.0. Use when the user wants to generate a video with multimodal assets (images, videos, audio) and needs the best possible prompt.
Drive JLCEDA Pro from Codex via WebSocket RPC using websocat as a short-lived local WS server (no Node/MCP required). Supports listing/calling all jlc.* tools and full EDA API passthrough (eda.invoke/get/keys).
Schematic capture and wiring. Create schematic sheets, place symbols, add wires and net labels, organize hierarchical designs.
Electronics project architecture and constraint definition. Guides users through defining project requirements, power systems, interfaces, and physical constraints.
Verify constructive alignment between objectives, activities, and assessments; validate instructional design quality and learning science principles. Use when reviewing curriculum quality, checking alignment, or validating pedagogical soundness. Activates on "review alignment", "check pedagogy", "validate curriculum", or "quality review".
Bronze/Silver/Gold layer design patterns and templates for building scalable data lakehouse architectures. Includes incremental processing, data quality checks, and optimization strategies.
Automate Peopledatalabs tasks via Rube MCP (Composio). Always search tools first for current schemas.
Run holistic pedagogical review on lecture slides. Checks narrative arc, student prerequisites, worked examples, notation clarity, and deck pacing.
Exploratory Data Analysis (EDA): profiling, visualization, correlation analysis, and data quality checks. Use when understanding dataset structure, distributions, relationships, or preparing for feature engineering and modeling.