Free Prompt Library


The Prompt Library is an innovative tool offering a curated collection of free text, image, and video prompts across various domains. Designed for seamless execution on generative AI platforms like ChatGPT, Bard, Claude, and others, it’s a go-to resource for enhancing AI interactions and creativity.


Prompt Name Prompt Type Category Actions
Generate test data Generate SQL insert statements to populate the following tables with [NUMBER OF ENTRIES] entries of dummy data that [REQUIREMENTS FOR THE DATA TO BE GENERATED]. [CREATE STATEMENTS OF THE TABLES TO POPULATE] Text Software engineering, Test data, QA
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Analyze business trends and challenges Analyze the current state of the [industry] and describe its trends, challenges, and opportunities. Support your analysis with relevant data and statistics. Additionally, provide a comprehensive list of key players in the industry. Text Industry Analysis, Market Trends, Key Players
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Explore Data Act as a data scientist and code for me. I have a dataset of [describe dataset]. Write code for data visualisation and exploration. Text Data Visualization, Data Exploration, Python
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Get Feature Importance Act as a data scientist and explain the model’s results. I have trained a decision tree model and I would like to find the most important features. Write the code. Text Feature Importance, Python, Machine Learning
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Train Time Series Act as a data scientist and code for me. I have a time series dataset [describe dataset]. Build a machine learning model that predicts [target variable]. Use [time range] as train and [time range] as validation. Text Time Series Analysis, Machine Learning, Python
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Visualize Data with Matplotlib Act as a coder in python. I have a dataset [name] with columns [name]. [Describe graph requirements]. Text Data Visualization, Matplotlib, Python
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Address Imbalance Data Act as a coder. I have trained a machine learning model on an imbalanced dataset. The predictor variable is the column [Insert column name]. In python, how do I oversample and/or undersample my data? Text Imbalanced Data, Machine Learning, Python
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Generate Data Act as a fake data generator. I need a dataset that has x rows and y columns: [insert column names]. Text Data Generation, Synthetic Data, Python
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Train Classification Model Act as a data scientist and code for me. I have a dataset of [describe dataset]. Build a machine learning model that predicts [target variable]. Text Data Science, Machine Learning, Classification Model
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Tune Hyperparameter Act as a data scientist and code for me. I have trained a [model name]. Write the code to tune the hyperparameters. Text Hyperparameter Tuning, Machine Learning, Python
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Data-Driven Blog Post with Storytelling Introduction Please write a blog post about [INSERT THE TOPIC HERE] and use stats and data throughout the article while citing your sources as well as write the introduction in a storytelling format. Text SEO, Content Writing, Blogging
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Optimizing Hyperparameters in Machine Learning Model Act as a data scientist and code for me. I have trained a [MODEL DETAILS INCLUDING ALGORITHM, PROGRAMMING LANGUAGE]. Write the code to tune the hyperparameters. Text Hyperparameter Tuning, Model Optimization
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Time Series Analysis for Predictive Modeling Act as a data scientist and code for me. I have a time series dataset [DESCRIBE DATASET] that I uploaded. Build a machine learning model that predicts [TARGET VARIABLE]. Use [TIME RANGE] for train and [TIME RANGE] for validating the model. Text Time Series Analysis, Machine Learning
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Interpreting Model Output with Shap Plots Act as a data scientist and explain the model's results. I have trained a scikit-learn [ALGORITHM NAME] model and I would like to explain the output using a series of plots with Shap. Write the code. Text Shap, Scikit-Learn
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Explaining Machine Learning Models Using LIME Act as a data scientist and explain the model's results. I have trained a scikit-learn [ALGORITHM NAME] model and I would like to explain the output using LIME. Write the code. Text LIME, Model Interpretability, Scikit-Learn
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