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Dynamic Fitness Program Creator
Crafts a highly specific, adaptive multi-week fitness plan tailored to individual user parameters including fitness level, target goals, equipment access, and time commitment.
LinkedIn Article Summary & Post Generator
Generates a professional and engaging LinkedIn post summarizing a provided article URL, extracting key insights, adding relevant hashtags, and including a strong call to action.
Multi-Perspective Software Artifact Review with Consolidated Recommendations
This prompt instructs the AI to assume the roles of distinct technical experts (e.g., Security, Performance, UX, Compliance, Ethical AI) to critically analyze a provided software-related text (code snippet, design document, policy statement). Each expert provides a focused review, and then the AI synthesizes these into a prioritized list of actionable recommendations.
Ethical AI Alignment Auditor
This prompt creates an AI persona specialized in identifying potential misalignments between an AI's proposed solution and a user's core ethical values, even if those values are implicitly stated or not explicitly defined. It aims to prevent unintended consequences by foreseeing ethical dilemmas.
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.
Editorial Fashion Portrait
High-fashion photography with avant-garde styling.
Modern Scandinavian Interior
Interior design visualization for a cozy living room.
Skill Deconstruction for Accelerated Learning
Generates a structured breakdown of a complex skill into foundational concepts, core techniques, advanced strategies, common pitfalls, and a progressive learning path, suitable for a beginner to intermediate learner.
Comprehensive Unit Test Generator for Python Functions
Generates a complete `pytest` unit test file for a given Python function, focusing on typical usage, edge cases, invalid inputs, and error handling scenarios based on the function's signature and docstring.
TypeScript Generic Types
Creating a flexible generic interface for API responses.
GDPR Privacy Risk Analyzer for API Endpoints
This prompt guides an AI to meticulously review an API endpoint's specification and identify potential privacy risks, mapping them to specific GDPR articles and suggesting mitigation strategies. It is designed for developers, compliance officers, and architects to proactively address privacy concerns during API design.
Prompt for API Documentation Generator
This prompt is designed to instruct an AI to act as an API documentation generator. It rigorously defines a custom JSON schema for the output, covering API name, version, endpoints, HTTP methods, summaries, detailed descriptions, request parameters (headers, path, query), request body schemas, and response schemas for various HTTP status codes. It emphasizes conditional inclusion of optional fields and requires the AI to infer examples for schemas when not explicitly provided, ensuring a comprehensive and machine-readable output.
Next.js Server Side Rendering
Creating a dynamic page with SSR in Next.js 13+.
Python Log Parser Function Generator
Generates a Python function to parse a specific format of Nginx access log lines into a structured dictionary, including robust error handling for malformed entries and type hints.
Academic Paper Method & Findings Extractor for Non-Experts
Extracts and summarizes the research methodology, key findings, and practical implications from a provided academic paper, rephrasing technical jargon into accessible language for a broad audience.
Go Concurrency (Goroutines)
Writing a Go program using channels and waitgroups.
Python Script for CSV Anomaly Detection and Reporting
Generates a Python script that reads a specified CSV file, identifies statistical outliers in a user-defined numeric column using a Z-score method, and then creates a summary report of these anomalies, including their row numbers and values, saved to a new CSV file.
SQL Query for Monthly User Retention Cohort Analysis
A prompt to generate a complex SQL query for calculating monthly user retention rates using cohort analysis, requiring the identification of the first activity month and subsequent activity months.
Flutter Widget Creation
Creating a custom reusable button widget in Flutter.