# Tate Workflow Skills - Basic Node Introduction

## Basic Modules

Core components of every workflow, including process control and documentation

### Start Node

The starting module of the workflow, defining the entry point and initial parameters for the entire process

- Set workflow input parameters
- Define process trigger conditions
- Configure initialization variables
- Support multiple trigger methods

### End Node

The termination module of the workflow, used to return final results and clean up resources

- Return workflow execution results
- Clean up temporary variables and resources
- Record execution logs
- Support multiple output formats

### Note Node

Add rich text annotations and comments to workflow for documentation and collaboration

- Rich text formatting support
- Markdown syntax compatibility
- Team collaboration comments
- Version control annotations

## Logic Control Modules

Control workflow execution logic and branch flow direction

### IF Condition Node

Conditional judgment module that determines workflow branch direction based on set conditions

- Support complex conditional expressions
- Multi-branch conditional judgment
- Nested condition support
- Dynamic condition evaluation

### Category Question Node

Guide workflow execution through different paths via categorized questions

- Intelligent question categorization
- Multi-dimensional classification support
- Custom classification rules
- Dynamic classification learning

## AI Intelligence Modules

Integrate large language models and knowledge bases to provide intelligent processing capabilities

### LLM Large Language Model

Integrate large language models to provide text generation, understanding, and reasoning capabilities

- Multi-model support (GPT, Claude, etc.)
- Custom prompt templates
- Context memory management
- Streaming output support

### Polish Content Optimization

Optimize and refine user input to improve content quality and accuracy

- Grammar and spell checking
- Text style optimization
- Content structure adjustment
- Multi-language support

### Knowledge Base

Connect and query knowledge bases to obtain relevant information and skills

- Multi-knowledge source integration
- Intelligent retrieval and matching
- Knowledge graph support
- Real-time knowledge updates

## Execution Modules

Handle code execution, network requests, and containerized tasks

### Run Code Execution

Execute code in a secure environment with support for multiple programming languages

- Multi-language support (Python, JavaScript, etc.)
- Sandbox security execution
- Code debugging and error handling
- Formatted result output

### HTTP Network Request

Manage communication with external servers and send HTTP requests

- RESTful API support
- Authentication and authorization management
- Request retry and error handling
- Response data processing

### ReACT Container

Container module for adding and selecting skills, supporting dynamic skill combinations

- Dynamic skill loading
- Containerized deployment
- Resource isolation and management
- Skill combination optimization