Tate Workflow Skills
Build powerful intelligent workflows and let AI handle complex tasks for you
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