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Found 939 Skills
Swift style guidelines covering naming conventions, code organization, and best practices for writing idiomatic Swift code.
Profile-aware speech workflow for narrated notes, spoken drafts, audio summaries, accessibility reads, and other text-to-speech tasks. Use when one front-door workflow should resolve voice profiles, enforce disclosure, and apply manifest tracking before delegating to built-in `$speech` or a deterministic local CLI path.
Generate AI videos using Google VEO 3.1 or OpenAI Sora. Two providers for different strengths - VEO for native audio, Sora for visual quality and longer clips.
Expert at integrating MCP servers into Claude Code plugins. Auto-invokes when configuring MCP servers (stdio/SSE/HTTP/WebSocket), writing .mcp.json files, or adding external tool integrations.
Video understanding and transcription with intelligent multi-provider fallback. Use when: (1) Transcribing video or audio content, (2) Understanding video content including visual elements and scenes, (3) Analyzing YouTube videos by URL, (4) Extracting information from local video files, (5) Getting timestamps, summaries, or answering questions about video content. Automatically selects the best available provider based on configured API keys - prefers full video understanding (Gemini/OpenRouter) over ASR-only providers. Supports model selection per provider.
Expert guidance for Google Veo 3.1 video generation. Use when the user wants to (1) create text-to-video or image-to-video prompts, (2) optimize for cinematic quality and native audio syncing, (3) maintain character consistency via reference images, (4) structure multi-shot sequences with timestamp prompting, (5) use First/Last Frame interpolation, (6) select between standard and fast generation modes, or (7) troubleshoot physics, motion, or audio issues in generated video.
Learn idiomatic Gamma SDK patterns and best practices. Use when implementing complex presentation workflows, handling async operations, or structuring Gamma code. Trigger with phrases like "gamma patterns", "gamma best practices", "gamma SDK usage", "gamma async", "gamma code structure".
Rapidly scaffold and implement a playable game — no assets, design, audio, deploy, or monetize. Get something on screen fast. Use when the user says "quick game", "fast prototype", "just get something playable", or wants a game without the full pipeline. For the complete pipeline, use make-game instead. Do NOT use for production games (use make-game for the full pipeline).
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.
WHEN: User is writing Go code, asking about Go patterns, reviewing Go code, asking "what's the best way to...", "how should I structure...", "is this idiomatic?", or any question about error handling, concurrency, interfaces, packages, testing patterns, or code organization in Go. Also activate when user is debugging Go code, refactoring Go, or working in a Go project (go.mod present) and asks general coding questions. Trigger this skill liberally for ANY Go-related development work. WHEN NOT: Non-Go languages, questions entirely unrelated to programming
Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classification, object detection), audio (speech recognition, audio classification), and multimodal tasks. Works in Node.js and browsers (with WebGPU/WASM) using pre-trained models from Hugging Face Hub.
Drizzle ORM for TypeScript. Covers schema definition, queries, and migrations. Use for type-safe SQL with minimal overhead. USE WHEN: user mentions "drizzle", "drizzle-orm", "drizzle-kit", "pgTable", "mysqlTable", asks about "lightweight orm", "sql-like orm", "drizzle schema", "drizzle migrations", "drizzle studio", "type-safe sql builder" DO NOT USE FOR: Prisma projects - use `prisma` skill; TypeORM - use `typeorm` skill; raw SQL - use `database-query` MCP; SQLAlchemy - use `sqlalchemy` skill; NoSQL databases - use `mongodb` skill