langgraph-agent

What problem does it solve?

This Skill provides a robust framework for executing multi-step tasks reliably, especially when dealing with LLMs that have inconsistent tool-calling capabilities.

Core Features & Use Cases

• Consistent Tool Calling: Ensures tools are called correctly across various OpenAI-compatible LLM providers.
• Automatic Tool Loops: Automatically retries tool calls until a task is successfully completed.
• Unified Interface: Works with multiple LLM providers (Z.AI, OpenRouter, Groq, DeepSeek, Ollama) through a single interface.
• Use Case: Building a custom agent that needs to research a topic, summarize findings, and then draft an email, ensuring each step is executed correctly even if the LLM struggles with tool invocation.

Quick Start

Create an agent with the 'shell' and 'file_read' tools and use it to execute the command 'ls -l'.