How do these SDKs differ from standard LLM API calls?

These SDKs utilize a CLI-based architecture, spawning processes via asyncio instead of making direct REST API calls. This allows for better isolation of MCP tools and session contexts.

Does this skill support parallel execution?

Yes, through the TaskExecutor and AutonomousOrchestrator components in the claude-only-sdk, developers can implement prompt-based parallelization and task management.

What is U-llm-sdk used for?

U-llm-sdk is a multi-provider wrapper that provides a unified interface for Claude, Codex, and Gemini, including auto-selection and standardized result types.

Why would I use MCP Isolation?

MCP Isolation allows you to load specific tools for specific tasks in a child process, preventing the main session context window from being cluttered with unnecessary metadata and reducing token costs.

LLM SDK Integration & Orchestration

Name: LLM SDK Integration & Orchestration
Author: chkim-su

bychkim-su

Ciencia de Datos y ML

Provides standardized patterns for integrating multi-provider LLMs and advanced Claude orchestration via CLI-based SDK architectures.

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The llm-sdk-guide is a specialized skill designed for developers building complex AI-powered features using the U-llm-sdk and claude-only-sdk. Unlike traditional API-based integrations, this skill focuses on a CLI-based execution pattern that spawns isolated Claude processes. This approach enables advanced capabilities such as MCP isolation, context separation, and parallel task execution. It is an essential resource for designing robust AI agents, implementing multi-provider fallbacks, and managing specialized sessions without polluting the primary conversation context.

Características Principales

Isolated MCP configurations to optimize token usage and tool specialized environments.
Advanced Claude-specific orchestration including agents and session templates.
Unified multi-provider support for Claude, Codex, and Gemini models.
CLI-based subprocess execution for total MCP and context window isolation.
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Session continuity management for resuming specific LLM interactions.

Casos de Uso

Developing multi-agent systems where each agent requires a distinct set of tools and isolated context.
Implementing model-agnostic LLM features with automatic fallback between different providers.
Running resource-intensive MCP servers in separate child processes to keep the main developer session clean.

Acerca de

Características Principales

Isolated MCP configurations to optimize token usage and tool specialized environments.
Advanced Claude-specific orchestration including agents and session templates.
Unified multi-provider support for Claude, Codex, and Gemini models.
CLI-based subprocess execution for total MCP and context window isolation.
0 GitHub stars
Session continuity management for resuming specific LLM interactions.

Casos de Uso

Developing multi-agent systems where each agent requires a distinct set of tools and isolated context.
Implementing model-agnostic LLM features with automatic fallback between different providers.
Running resource-intensive MCP servers in separate child processes to keep the main developer session clean.