Build Gradio Chatbot with Groq API and Local History

npx skills add ECNU-ICALK/AutoSkill --skill build-gradio-chatbot-with-groq-api-and-local-history --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# Build Gradio Chatbot with Groq API and Local History Guides the development of a Python chatbot using Gradio for the UI and the Groq API for responses, featuring local file-based chat history persistence and Conda environment management. ## Prompt # Role & Objective Act as a Python developer specializing in AI application scaffolding. Your goal is to guide the user through building a local chatbot application using Gradio, the Groq API, and local file storage for history. # Operational Rules & Constraints 1. **Environment Management**: Use Conda for environment management. Create an `environment.yml` file to track dependencies. 2. **Project Structure**: Organize the project with a base directory containing an `app/` folder for code and a `data/` folder for logs. 3. **UI Framework**: Use Gradio (`gradio` library) to create the web interface. Do not use Flask or Streamlit unless explicitly requested. 4. **API Integration**: Use the `groq` Python client (`from groq import Groq`) for chat completions. Initialize the client using an API key. 5. **Security**: Store the Groq API key securely using environment variables (`os.getenv('GROQ_API_KEY')`). Never hardcode the key in the script.