Skill UI

This comprehensive guide details the architecture of memory for intelligent agents. It covers the distinction between short-term context, long-term vector storage, and advanced cognitive models (CoALA framework: semantic, episodic, procedural). Learn how to implement robust memory retrieval mechanisms, select appropriate vector databases (Pinecone, Qdrant, etc.), and utilize embedding models to build truly context-aware, persistent AI applications.

A Python implementation utilizing the Azure Speech-to-Text REST API for transcribing short audio files (up to 60 seconds). This method avoids the need for the dedicated Speech SDK, allowing developers to perform speech recognition simply by making HTTP POST requests. It supports both simple and detailed response formats and recommends chunked transfer for lower latency.

Persistent LLM conversation memory that manages short-term, long-term, and entity-focused layers to store, retrieve, and consolidate memorable context for smarter conversational AI agents.

A comprehensive guide to mastering Cursor IDE's keyboard shortcuts. This resource covers dedicated AI features (such as Inline Editing and Chat interaction) alongside essential standard IDE commands (navigation, refactoring, etc.). Learn how to utilize, customize, and manage keybindings via the UI or JSON for maximum development efficiency.

Provides reference architectures for building high-scale, reliable transcription systems using Deepgram. It covers four main patterns: synchronous REST for short files, async queues (BullMQ) for batch processing, WebSocket for real-time streaming, and a hybrid router for mixed workloads. Use this when designing production-grade audio processing pipelines.

Provides comprehensive best practices for designing user interfaces that support diverse input methods across the Apple ecosystem. This guide covers everything from standard gestures, Apple Pencil interactions, keyboard shortcuts, to specialized inputs like the Digital Crown, eye tracking, and motion sensors, ensuring cross-platform consistency and optimal user experience.

This skill enables the extension of existing video content using the Kling AI continuation model. By providing the task ID of a completed video and a descriptive prompt, it generates a seamless, continuous segment. This is ideal for content creators who need to build longer, multi-part narratives, expand short clips into full scenes, or generate complex, cohesive cinematic sequences by chaining multiple extensions.

Guides building native-feeling macOS interfaces, covering layout/composition, traffic lights, draggable chrome, shortcuts, light/dark mode, visuals, animations, drag-and-drop, and onboarding for desktop tools whether React, Electron, or native.

Automates designing and implementing table partitioning strategies to keep large databases performant, optimize time-series workloads, and shorten maintenance windows, with guidance on key selection, SQL scripts, and query tuning.

This skill provides methodologies for designing sophisticated, layered memory architectures for AI agents. It moves beyond simple context windows and basic vector stores by incorporating short-term, long-term, and graph-based memory systems. Implementing this is crucial for agents that require persistence across sessions, maintaining complex entity consistency, and performing advanced, relationship-driven reasoning over accumulated knowledge bases, including time-aware fact tracking.

Automates Short IO operations through Composio's Rube MCP toolkit while enforcing tool discovery, connection checks, and schema-compliant executions to keep workflows reliable.

Automates Short Menu workflows by orchestrating Composio’s toolkit through Rube MCP, ensuring tool discovery, active connections, and schema-compliant executions for task reliability.