Loading...
Loading...
Found 15 Skills
FastAPI patterns for async APIs, dependency injection, Pydantic request and response models, OpenAPI docs, tests, security, and production readiness.
Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns. Use PROACTIVELY for FastAPI development, async optimization, or API architecture.
Full-stack Meteor 3.x development with React, MongoDB, async APIs, methods, pub/sub, and GraphQL. Use this skill when working on any Meteor project — writing methods, publications, subscriptions, React data containers, collection helpers, ORM patterns, REST APIs with accounts-express, Meteor-to-React integration via useTracker/withTracker, async migration from Fibers, optimistic UI, DDP, or debugging Meteor-specific issues like circular dependencies, method stubs, and simulation errors. Trigger on: Meteor, Meteor.js, Meteor 3, MeteorJS, callAsync, useTracker, withTracker, Meteor methods, Meteor publications, Meteor subscriptions, SubsManager, Minimongo, DDP, Mongo.Collection, Meteor.Error, optimistic UI, Fibers migration, meteor async, accounts-express.
Use when FastAPI async patterns for building high-performance APIs. Use when handling concurrent requests and async operations.
Build high-performance FastAPI applications with async routes, validation, dependency injection, security, and automatic API documentation. Use when developing modern Python APIs with async support, automatic OpenAPI documentation, and high performance requirements.
Comprehensive guide for building production-ready microservices with FastAPI including REST API patterns, async operations, dependency injection, and deployment strategies
MCP Server connecting AI agents to 28 Brazilian public APIs covering economy, legislation, transparency, judiciary, elections, environment, health, and more
ASR (Automatic Speech Recognition) — enhanced speech-to-text built on Doubao large model, with audio preprocessing, denoising, and extended analysis capabilities. Async API. Choose this skill when: - Input is a video file (mp4/mov/mkv) — auto-extracts audio track - Audio needs denoising before recognition - File exceeds 512MB or 5 hours (no size limit) - Audio source is a TOS internal path (tos://bucket/key) - Need structured JSON output with timestamped utterances and metadata - Need speaker diarization, emotion/gender detection, speech rate, or sensitive word filtering Supports 99 languages, multiple formats (wav/mp3/m4a/aac/flac/ogg/mp4/mov/mkv), and auto language detection.
Next.js 16 migration guide (async request APIs, "use cache", Turbopack)
AI Text Generation Tool: Uses large language models to generate text content based on prompts, supporting combined understanding of images/videos/text. Available models include GEM_3_FLASH (fast response) and GEM_3_1_PRO (high-quality complex analysis). Triggered when users mention phrases like "AI text generation", "AI writing", "text generation", "help me write a paragraph", "text generation", "generate text", "write with AI", "AI analyze image content", "image recognition", "video analysis".
Use when generating videos from images with DashScope Wan 2.7 image-to-video model (wan2.7-i2v). Use when implementing first-frame video generation, first+last frame interpolation, video continuation, or audio-driven video synthesis via the video-synthesis async API.
Generate videos from text prompts (and optional reference or frame images) using OpenRouter's asynchronous video generation API. Use when the user asks to create, generate, or make a video or animation from a description, animate an existing image, or turn a prompt into a short video clip.