Skill UI

A sophisticated memory management system designed to recover, reconstruct, and maintain project context across complex, distributed, and multi-agent AI workflows. It specializes in advanced semantic memory rehydration, utilizing semantic vector search, relevance ranking, and conflict resolution to ensure seamless continuity and high fidelity of historical knowledge.

An expert system for designing and implementing advanced AI context architectures. It specializes in integrating intelligent memory systems, vector databases, and knowledge graphs to ensure AI applications maintain coherent, relevant, and scalable state across complex, multi-agent workflows. Essential for enterprise RAG implementation and stateful AI development.

This skill details advanced techniques for enhancing the effective context capacity of LLMs. It outlines four core strategies—Compaction, Observation Masking, KV-Cache Optimization, and Context Partitioning—to prevent context limits from constraining task complexity. By strategically managing token usage, users can reduce operational costs, minimize latency, and implement robust, long-running agent systems for handling large documents or conversations.

This skill automatically fetches the latest official documentation for programming libraries and frameworks (such as React, Next.js, or Prisma) via the Context7 API. It is essential for developers who require accurate, up-to-date technical reference material to ensure their code adheres to the most current best practices.

Orchestrates Control D operations via Composio’s Rube MCP, requiring tool discovery, active connections, and schema-compliant calls before executing workflows.

Automates Conversion Tools workflows by orchestrating Composio’s toolkit through Rube MCP, guiding users to discover current schemas, verify connections, and execute schema-compliant tool calls with memory/session handling.

Guides using Rube MCP via Composio to discover Convertapi tool schemas, manage toolkit connections, and execute safe multi-step conversions without hardcoded slugs.

Orchestrates ConvertKit marketing workflows through Composio's Kit toolkit accessed via Rube MCP, letting you manage subscribers, tags, broadcasts, and stats after fetching the latest tool schemas.

Automate Conveyor tasks through Composio's Rube MCP pipeline by discovering current tool schemas first, ensuring active connections, and executing schema-compliant workflows for reliable operations.

Guides automating Convolo AI via Composio’s Rube MCP, covering tool discovery, connection validation, schema-compliant multi-tool execution, session reuse, and pagination handling for reliable workflows.

The official SDK for building applications that programmatically interact with GitHub Copilot. It provides comprehensive features including session management, custom tool definition (function calling), real-time streaming, and lifecycle hooks. Supports multiple languages, including Node.js, Python, Go, and .NET, making AI integration seamless across your tech stack.

A comprehensive guide to utilizing a core, token-driven component library and design system patterns. It details best practices for managing UI styles—including spacing, color, and typography—by using semantic design tokens instead of hard-coded values. Ideal for building consistent, scalable, and maintainable user interfaces across different platforms.