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 | |
| 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 | |
| Summarize a Lengthy Email | Summarize a lengthy email into bullet points. | Text | Email Summarization, Time-Saving, Information Processing | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| Optimizing Python Pandas Code for Efficiency | Act as a Python code optimizer. Point out what's wrong with the following pandas code and optimize it? [INSERT CODE] | Text | Pandas Optimization, Python, Data Processing | |
| 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 | |
| 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 |