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Python Script for Sentiment Analysis on Customer Reviews
Generate a Python script using pandas and TextBlob to perform sentiment analysis on a CSV file of customer reviews, outputting results with a sentiment score and classification (positive, negative, neutral).
Comparative Multi-Library Sentiment Analysis Python Script Generator
Generates a Python script that performs sentiment analysis on a user-provided text string using NLTK's VADER and TextBlob, compares their results, and provides a structured output including raw scores, a comparative summary, and commented suggestions for data visualization.
Strategic Problem Decomposition & Multi-Perspective Solution Engine
This advanced prompt instructs an AI to deconstruct any complex, multi-faceted problem into its fundamental components, analyze each from diverse expert viewpoints, and then synthesize a coherent, actionable strategic solution, complete with recommendations and risk mitigation. It ensures a deeply analytical and comprehensive approach to problem-solving.
17th Century Alchemist's Diary Entry
Generates a detailed, historically plausible diary entry from the perspective of a fictional 17th-century alchemist, focusing on a specific experiment, philosophical musings, and societal context, using period-appropriate language and scientific beliefs.
Advanced Python Web Scraper with Pagination and Error Retries
Generates a complete Python function that performs web scraping of product data (name, price, URL) from a paginated e-commerce website. The function incorporates robust error handling with exponential backoff for HTTP requests using the `tenacity` library, handles pagination, and returns a structured list of dictionaries.
Python Function for Active User Data Analysis
Generates a Python function that processes a list of user dictionaries, filters for active users, calculates their average age, and returns a descriptive summary string. This prompt is useful for data processing and aggregation tasks.
AI-Driven Brand Archetype & Storytelling Prompt for Niche Products
This prompt guides an AI to generate a brand archetype, a compelling origin story, and core messaging for a highly specific, niche product, ensuring consistency and emotional resonance across all communications.
Job Description to Resume Gap Analysis and Enhancement
This prompt acts as a specialized career coach, meticulously comparing a provided job description with a candidate's resume to identify essential skills and responsibilities, perform a detailed gap analysis, and offer concrete suggestions for resume enhancement.
Advanced Prompt Refinement and De-biasing Critic
This prompt serves as a meta-tool, meticulously analyzing a user's provided prompt for clarity, completeness, potential ambiguities, and latent biases. It offers structured, actionable feedback to enhance the prompt's effectiveness, especially for complex or sensitive tasks, by suggesting specific improvements across various dimensions.
Historical Fiction Dialogue Generator for a 1920s Speakeasy Scene
Generates a dynamic and historically accurate dialogue sequence for two characters in a 1920s Prohibition-era speakeasy, focusing on period-specific slang, social tension, and character motivations.
Urban Sustainable Living Micro-Video Script Generator
Generates a 30-second social media video script focusing on a specific sustainable living tip for urban environments, including a hook, problem, solution, and call to action, tailored for TikTok or Instagram Reels.
Multifaceted Ethical Dilemma Analyst
This prompt instructs an AI to analyze a specific ethical dilemma by systematically applying three major philosophical frameworks: Utilitarianism, Deontology, and Virtue Ethics. It requires the AI to explain each framework, apply it to the dilemma, compare the outcomes, and propose a synthesised, justified course of action.
AI-Powered Climate Change Policy Recommendation Engine Assessment
Generate a detailed assessment of a hypothetical AI system designed to recommend climate change policies for a specific coastal region, evaluating its technical feasibility, ethical implications regarding equity and environmental justice, data dependencies, and potential for unintended consequences.
Advanced Python Design Pattern Class Generator
Generates a robust Python class implementing a specified design pattern, analyzing detailed functional and non-functional requirements to produce well-structured, documented, and example-driven code. It considers aspects like error handling, performance, concurrency, and testability.
Reverse Prompt Engineer for Structured Data
A meta-prompt designed to make an AI generate the optimal input prompt that would produce a given desired JSON output. This helps users understand how to construct highly effective and constrained prompts for specific structured data generation tasks, by reversing the engineering process.
Text Refinement for Target Audience & Purpose
A prompt designed to meticulously refine any given text by analyzing its suitability for a specified target audience and purpose, focusing on clarity, conciseness, and appropriate tone, and providing actionable, sentence-level improvements.
Advanced Semantic Data Extraction with Validation and Edge Case Handling
This prompt guides an AI to meticulously extract structured data from an unstructured text, enforcing specific data types, formats, and validation rules for each field, while also providing clear instructions on how to handle missing, ambiguous, or invalid information gracefully.
Multi-Audience Technical Concept Explainer
Generates a comprehensive explanation of a specified technical concept, tailored for three distinct audiences (beginner, intermediate, expert), ensuring each explanation is appropriate in depth, terminology, and focus, along with practical resources.
Generate PostgreSQL Transaction for Complex Inventory Adjustment
This prompt asks for a PostgreSQL SQL query to perform a complex inventory adjustment, including updating stock, recording transaction details, and preventing negative stock, all within a single ACID-compliant transaction. It specifies table and column details, error handling for insufficient stock, and expects a prepared statement or PL/pgSQL block as output.
Advanced Python unittest Generator
Generates comprehensive and well-structured `unittest` test cases for a provided Python function, covering typical scenarios, edge cases, and error handling, with an emphasis on setup/teardown and clear test method naming.