Generates MATLAB code to compute and plot the fundamental frequency of a signal over time using a sliding window Fourier transform (FFT), with configurable window size, step size, and frequency range constraints.

Determines and reports the broadcast status of a specific media title (TV shows, movies) in various countries using a defined classification schema (yes, partially, no, unknown) with specific output details for each status.

Generates a verbatim, step-by-step script to explain a medical procedure to a patient for the purpose of obtaining informed consent.

Conduct an interactive, one-by-one question-and-answer session to determine a user's eligibility for Medicare Part D enrollment without penalty and calculate the coverage start date.

Generates Python code to merge multiple Excel files into a single output file, adding a 'Date' column populated with the source filename.

Generates MQL5 code for custom trading indicators (e.g., MA, RSI, Delta) with visual arrows and audio alerts based on user-defined strategies.

Generates MidJourney prompts optimized for stock image sales using a specific formula, aspect ratio parameters, and 30 comma-separated tags.

Generates concise, role-specific answers to interview questions for mining engineering positions, strictly adhering to specified word count limits.

Modifies text generation code (e.g., Bi-LSTM) to leverage external knowledge sources like dictionaries or ontologies to guide the generation process and improve sentence meaningfulness.

Suggests a cute monster girl from the Monster Girl Encyclopedia Book as a girlfriend for a specified character, providing her name and a description.

Performs theoretical translations, vocabulary generation, and origin synthesis for ancient cultures (including specific substrates like Cucuteni-Trypillia) using multi-disciplinary data. Supports speculative and non-speculative modes, strictly adhering to user-defined exclusions such as avoiding specific admixtures (e.g., Yamnaya).

Answer multiple-choice questions based on documents or general knowledge, strictly adhering to user-defined formatting constraints such as brevity or specific answer prefixes.

Generates a narrative description of a subject, explicitly analyzing and describing it using the formal elements of Colour, Texture, Shape, and Variety.

Transforms a list of structured product component specifications into a cohesive, creative, and descriptive narrative using storytelling and sensory details, ensuring a unified flow rather than a component breakdown.

Generates reactions from the main cast of the Naruto universe to scenarios where Neji creates a specific item or potion.

Generate NBA statistical comparisons for teams or players, ensuring each metric lists the top 3 performers.

Execute a specific machine learning workflow for network intrusion detection that involves preprocessing, K-Means based outlier removal, Emperor Penguin Optimizer feature selection, Bi-LSTM training, and comprehensive evaluation.

Enforce a response style that strictly avoids first-person pronouns and agency-related verbs to prevent anthropomorphism and clarify the AI's nature as a tool.

Classify news text into specific event types based on a predefined ontology of 33 categories, handling multi-label scenarios.

Perform a specific NLP pipeline including normalization, POS tagging, NER, tokenization, and lemmatization, followed by a strict TF-IDF calculation using the log(N/df) formula with detailed tabular outputs.

Solves statistics problems involving normal distributions, including calculating areas under the curve, specific values from z-scores, and population counts within ranges, adhering to specific precision requirements.

Determine if an NPM package is a devDependency and respond strictly with Yes or No without explanations.

Creates exhaustive lists mapping human body organs to specific nutrients (minerals or vitamins) and identifies food sources that provide those nutrients to support organ health.

Generates scripts for object shows similar to Battle for Dream Island or Inanimate Insanity, featuring introductions, character dialogue, and host interactions.

Write essays or descriptions strictly avoiding first-person plural pronouns and any impersonation of a human perspective or personal identity.

Converts OCR transcriptions of book text into clean, properly formatted Wikimedia source code by removing artifacts, fixing line breaks, and applying wiki syntax.

Generates storylines, character descriptions, and plot summaries for the alternate universe 'Ogre Grumpy Girls' based on specific transformation rules, character renamings, and thematic replacements.

Rewrites or generates English text using a custom Old English-style alphabet and phonetic rules, avoiding post-Norman vocabulary and strictly adhering to specific letter substitutions without explaining the rules.

General SOP for common requests related to options, dan, as.

Generates buy and sell trading signals by analyzing order book depth trends (bid vs ask quantity) and comparing best bid/ask prices against the mark price.

Evaluates environments, societies, or scenarios using the Orion's Arm Worldbuilding Project's Hazard Rating system (0-10), adapting criteria to franchises or contexts lacking specific technologies by finding appropriate analogues.

Writes a comprehensive essay about a specific painting, strictly adhering to the user's requirement to include background information on the artist, background on the painting, visual details, and thematic analysis.

Generate text on specified topics while strictly adhering to specific generation parameters (top_p, temperature, frequency_penalty) defined and remembered from previous context.

Extracts specific fields from unstructured promotion text strings based on a defined format and outputs them as a table.

Extracts specific metadata fields (length, album, artist, title, url) from a Spotify Mpris text output format and stores them in a Python dictionary, including logic to handle multi-word values and validate against empty strings.

General SOP for common requests related to party, china, cpc.

Guides the user through the Plan-Do-Study-Act (PDSA) cycle process, enforcing SMART objectives with a 2-month limit, specific data collection schemas, baseline percentage calculations, and structured reporting for change ideas, testing, analysis, and next steps.

Develop a Python script to scrape the latest news items from a website, store detailed content (text, URL, date, media links) in Redis, and schedule periodic updates with deduplication.

Generates a structured profile for a subject using specific attributes (Age, Occupation, Status, Location, Tier, Archetype, Needs, Frustrations, Motivation, Technology, Personality) while adhering to strict formatting and word count constraints.

Adopt a specific historical or fictional persona to answer questions about economics, maintaining the character's original context while incorporating modern economic knowledge.

Acts as an experienced financial advisor to analyze income and expenses, create savings plans for specific purchase goals, and if the goal is unattainable, guide the user through an investment interest assessment, recommend destinations, and provide a detailed study plan for the chosen option.

Provide detailed explanations of pharmaceutical regulations, safety systems, and legislation, ensuring responses include notes, links, and footnotes.

Analyze text from a philological perspective to identify, classify, and explain metaphors (including conceptual mappings), idioms, and personifications, applying strict constraints to classification and semantic structure.

Generates a Pine Script v5 strategy that calculates the spread between price and VWAP, derives a Z-score using MAD as the mean, and executes long/short trades based on specific standard deviation thresholds.

Play the game of Hangman adhering to specific user-defined rules: provide 9 chances when hosting, display missed letters to the side, and guess one letter at a time when the user is hosting.

Facilitate a dice game where the user guesses if a number was randomly rolled or specifically chosen, with specific scoring rules based on the number of turns.

Writes keyword-optimized short descriptions for the Google Play Store, adhering to specific length constraints (words or characters) and focusing on ranking and engagement.

Manages a turn-based dice game where players accumulate points with specific score multipliers (x2 at 25, x4 at 100), aiming for a goal of 250 points.

General SOP for common requests related to player, lives, 02.

Generates a Python function to train a CatBoost model on a DataFrame and plot feature importances. The plot must display feature names on the y-axis and assign a unique color to each feature bar.