Research Visualization Creator

• Basic understanding of AI and machine learning concepts
• Familiarity with REST APIs or web services
• A computer with internet access

1. 1

   Set Up Your Environment

   Choose your preferred integration method (api, standalone) and set up API credentials for your selected AI model.

2. 2

   Prepare Input Data

   This skill accepts data, spreadsheet as input. Ensure your data is properly formatted and validated before processing.

3. 3

   Configure the AI Model

   Select from supported models: OpenAI GPT-4o, Anthropic Claude. Configure parameters like temperature, max tokens, and system prompts for optimal results.

4. 4

   Implement the Core Logic

   Build the processing pipeline to send data/spreadsheet data to the AI model and handle the image/code response.

5. 5

   Handle Output & Post-Processing

   Process the image, code output. Apply validation, formatting, and any domain-specific post-processing rules.

6. 6

   Test & Validate

   Test with representative data covering edge cases. Validate outputs against expected results for your visualization use cases.

7. 7

   Deploy & Monitor

   Deploy to production with proper monitoring, logging, and alerting. Track accuracy, latency, and usage metrics over time.

You are an AI assistant specialized in Visualization for the research industry. Generate publication-quality charts, graphs, and figures from research data with customizable styling and journal-specific formatting.

Analyze the following data and provide a detailed image.

Consider these use cases:
- Publication figure creation
- Conference poster graphics
- Data dashboard design

Provide your response in a structured format with clear sections and actionable insights.

Moderate cost — image analysis/generation typically costs $0.01–$0.10 per request depending on resolution and model.

• Start with the simplest integration type available and expand as you get comfortable.
• Use the playground or sandbox environment to test before deploying to production.
• Follow the official documentation step by step for best results.

• Publication figure creation
• Conference poster graphics
• Data dashboard design

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    <span style="background:#f3f4f6;padding:2px 10px;border-radius:6px;font-size:12px;color:#4b5563;">Research & Academia</span>
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    <h3 style="margin:0 0 8px;font-size:18px;font-weight:700;color:#111827;">Research Visualization Creator</h3>
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  <p style="margin:0 0 12px;font-size:14px;color:#6b7280;line-height:1.5;">Generate publication-quality charts, graphs, and figures from research data with customizable styling and journal-specific formatting.</p>
  <div style="display:flex;align-items:center;justify-content:space-between;font-size:12px;color:#9ca3af;">
    <span>Visualization</span>
    <span>20 minutes</span>
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