gh-nickth3man-claude-market/skills/pocketflow/assets/template

PocketFlow Project Template

This template provides a best-practice structure for PocketFlow projects.

Source: https://github.com/The-Pocket/PocketFlow-Template-Python

Project Structure

template/
├── main.py              # Entry point
├── flow.py              # Flow definition
├── nodes.py             # Node implementations
├── utils.py             # Utility functions (LLM wrappers, etc.)
└── requirements.txt     # Python dependencies

Quick Start

1. Install dependencies:

   pip install -r requirements.txt
   

2. Configure your LLM: Edit utils.py and implement call_llm() for your provider (OpenAI, Anthropic, or Gemini)

3. Set API key:

   export OPENAI_API_KEY=sk-...
   # or
   export ANTHROPIC_API_KEY=sk-ant-...
   # or
   export GEMINI_API_KEY=...
   

4. Run:

   python main.py
   

Customization

• Add nodes: Create new node classes in nodes.py
• Modify flow: Update connections in flow.py
• Add utilities: Implement helpers in utils.py
• Update logic: Customize main.py for your use case

Best Practices Demonstrated

1. Separation of Concerns:

   • nodes.py - Node logic only
   • flow.py - Flow orchestration only
   • utils.py - Reusable utilities
   • main.py - Application entry point

2. Factory Pattern:

   • create_qa_flow() makes flow reusable
   • Easy to test and modify

3. Clear Data Flow:

   • Shared store pattern for data passing
   • Explicit state management

4. Configuration:

   • Environment variables for API keys
   • requirements.txt for dependencies

Next Steps

1. Implement your call_llm() function
2. Add your business logic to nodes
3. Define your workflow in flow.py
4. Run and iterate!

Resources

• PocketFlow Docs: https://the-pocket.github.io/PocketFlow/
• GitHub: https://github.com/The-Pocket/PocketFlow
• Examples: See the cookbook/ directory for more patterns