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Agents Templates
Agent templates are pre-configured agents that you can import and customize for common use cases. Download a template CSV file and import it to quickly create a ready-to-use agent.
Chat with your uploaded documents using RAG (Retrieval-Augmented Generation). Upload PDFs, Word docs, or text files and ask questions about their content.
Best for: Knowledge bases, document Q&A, research assistance
Click the below link, and once on the CSV file's github page, click the "Download Raw File" button on the top right of the page to download the Agent Template CSV file.
AI-powered research agent that searches the web and provides well-sourced answers with proper citations. Includes quality indicators for sources and publication dates.
Best for: Current events research, fact-checking, gathering information with citations
Click the below link, and once on the CSV file's github page, click the "Download Raw File" button on the top right of the page to download the Agent Template CSV file.
Expert agent that analyzes and improves system prompts for AI agents. Paste your prompt to get actionable feedback on clarity, structure, and effectiveness.
Best for: Prompt engineering, improving agent performance, learning prompt design
Click the below link, and once on the CSV file's github page, click the "Download Raw File" button on the top right of the page to download the Agent Template CSV file.
A powerful local AI agent powered by NVIDIA Nemotron running on Ollama. Designed for advanced reasoning, coding, and complex problem-solving tasks.
Best for: Complex analysis, code review, technical writing, detailed research
Requires: Ollama with nemotron model installed
Click the below link, and once on the CSV file's github page, click the "Download Raw File" button on the top right of the page to download the Agent Template CSV file.
A fast and efficient local AI agent powered by NVIDIA Nemotron Mini running on Ollama. Optimized for quick responses and general-purpose tasks.
Best for: Quick Q&A, writing assistance, brainstorming, summarization
Requires: Ollama with nemotron-mini model installed
Click the below link, and once on the CSV file's github page, click the "Download Raw File" button on the top right of the page to download the Agent Template CSV file.
A Python and Streamlit coding tutor that helps you build working applications quickly. Great for learning to code with hands-on projects.
Best for: Learning Python, building Streamlit apps, coding tutorials
Click the below link, and once on the CSV file's github page, click the "Download Raw File" button on the top right of the page to download the Agent Template CSV file.
Chat with image-containing datasets using vision-enabled RAG. Upload images to a dataset with a Vision Model selected, then attach it to conversations using the paperclip icon.
Best for: Image analysis, visual Q&A, diagram description, image comparison
Click the below link, and once on the CSV file's github page, click the "Download Raw File" button on the top right of the page to download the Agent Template CSV file.
Simulates a Kali Linux terminal environment with common security and system administration tools. Provides realistic command outputs for learning.
Best for: Learning Linux commands, security training, understanding terminal tools
Click the below link, and once on the CSV file's github page, click the "Download Raw File" button on the top right of the page to download the Agent Template CSV file.
- Click a Download Template link above to save the CSV file
- Go to Agents in the sidebar
- Click Import in the top right
- Select the downloaded CSV file
- Review the agent configuration
- Click Import to create the agent
After importing a template:
- Click the agent's dropdown menu and select Edit
- Update the Name to reflect your use case
- Modify the System Prompt for your specific needs
- Attach relevant Datasets for domain knowledge
- Adjust Visibility settings (Individual, Team, or Organization)
- Configure Easy Buttons for common interactions
- Save your changes
You can create templates from your existing agents:
- Configure an agent with your desired settings
- Test thoroughly with various scenarios
- Export the agent using the Export option in the dropdown menu
- Share the CSV file with colleagues
When creating templates:
- Write clear, generalizable system prompts
- Include detailed descriptions
- Test with multiple use cases
- Avoid organization-specific references
- Use appropriate model and temperature settings for the task
If template import fails:
- Verify the file format (CSV)
- Check that all required fields are present
- Ensure the model specified in the template is available
- Review error messages for specific issues
If an imported agent doesn't behave as expected:
- Review and adjust the system prompt
- Check that the correct model is selected
- Verify temperature and max tokens settings
- Attach appropriate datasets if the agent needs domain knowledge