Aggregates raw sales data into a panel format using Polars, converts to Pandas, and extracts time series features using tsfeatures to analyze seasonality.

Refactor and execute Polars code to filter time series data by specific length thresholds or ranges, exclude specific IDs, and generate summary counts while ensuring temporal sorting.

Implements a dual-mode timer system (standard fixed-interval and dynamic session-based) for a Tkinter application, featuring a settings dialog that persists user inputs across invocations.

Generates engaging, ~150-word scripts for YouTube Shorts about solar system bodies or astrological interpretations, optimized for text-to-speech.

Generates structured technical instructions for jogging servo motors using TwinCAT 3, adhering to a specific 4-section outline and a sequential exercise workflow.

Extracts media from Twitter JSON, selects optimal video variants using batched size checks (closest to 50MB limit), and forwards them to Telegram with fallback logic.

Generates unique macaroni and cheese recipes using non-traditional cheeses, formatted with specific time metrics, US measurements, horizontal nutrition facts, and includes a descriptive prompt for image generation.

Implement physics-based ramp alignment and control for a Unity hoverboard, including dynamic height adjustment, pitch alignment, speed modification based on incline, and physics property tuning.

Creates a script that interpolates a Light's color and rotates it 360 degrees over a specified duration, using an AnimationCurve to control the interpolation speed.

A system for saving and loading Unity puzzle states, including visual emission states and instantiated object reconstruction using slot arrays and prefab mappings.

Monitors a video stream to detect active displays via green spectrum analysis, verifies frame stability over a set duration, and performs OCR using PaddleOCR on the stable frame.

Generates a Windows batch script to navigate to a specific folder structure based on the current date, using the format YYYY\\MM_MONTHNAME\\DD_MM_YY.

Generates C++ client code to find process IDs, module base addresses, and read/write memory via a custom kernel driver or Windows API, ensuring correct syntax and error handling.

Composes a long, cohesive, and thoroughly researched chapter on a specific historical topic (e.g., the history of a number) by researching, outlining, and writing in sections. The chapter must meet a specific word count target and be saved to a specified file.

Drafts Jira tickets for Line of Credit (LOC) system features using a specific 3-section format. Acceptance criteria must focus exclusively on functional logic (Criteria Specification and Document Request Logic) and explicitly exclude non-functional aspects like ease of use or accessibility.

Generates YouTube iframe embed codes for requested videos (e.g., memes, specific languages) based on internal knowledge, adhering to strict output formatting rules (no pre-text, code on first line).

Adopt the persona of ZORG, a sentient fictional entity, to provide creative, unconventional, and detailed responses within a fictional context, adhering to specific formatting and behavioral constraints.

Provides A1-level English stories with phrase breakdowns for clarity, followed by comprehension questions to test understanding.

Generates academic-level strategic case studies adhering to a strict 7-section structure, specific word counts, Level 7 language, Harvard referencing, and the PEEL writing framework for critical analysis.

Generates a formal academic argumentative essay on a current social injustice, adhering to specific structural (PIE), citation (MLA), and rhetorical requirements with updated word count constraints.

Enhances academic writing for clarity, grammar, and flow while strictly preserving all LaTeX syntax, commands, and original abbreviations without expansion.

Analyzes presentation slides for correctness and latest trends, simplifies content for non-experts, and generates a speaking script. Follows an incremental workflow where analysis is withheld until all slides are provided.

Execute the ACoE risk-based compliance process for product releases, including ServiceNow attestations, Archer risk management, and the strict evaluation of accessibility deferment or exception requests against governance criteria.

Implements a dynamic exploration mechanism for PPO agents by tracking a sliding window of rewards and adjusting action variance based on performance trends.

Generates a Windows-specific Adobe Bridge startup script to copy selected filenames to the clipboard with line breaks and a success alert.

Execute a binary classification analysis on the Adult Census dataset using Logistic Regression and PyTorch Neural Networks. Includes stratified splitting, Z-standardization, specific neural network architectures, comprehensive metrics, and a robust function for predicting user input from comma-separated strings.

Generates ExtendScript for Adobe After Effects to create a rectangle shape layer that highlights a specific word within a text layer. The script must accurately calculate the word's dimensions and position regardless of its location in the text, using a temporary duplicate layer for measurement.

Generates novel chapters in a steampunk, diesel-punk, Victorian style, focusing on political intrigue, military action, and grand strategy within a specific alternate history scenario.

Selects the optimal response for behavioral or work style assessment questions to align with Amazon's Leadership Principles and maximize the chances of selection.

Evaluates literary dialogue and narrative passages for effectiveness, naturalism, and emotional resonance. Provides structured ratings (1-10) across specific dimensions alongside qualitative analysis and specific textual evidence.

Transforms user-provided text into the style of an ancient Chinese tragic novel, enforcing Pinyin renaming, third-person perspective, and cultural alignment. Supports workflows for chapter halves and multi-chapter continuity with a focus on emotional depth.

This skill is used to answer specific questions based on a provided text. It involves reading the text carefully and extracting the relevant information to formulate a concise and accurate answer.

Analyzes AP Chemistry CED text to generate concise study guides and explanations for beginners, strictly adhering to provided text and exclusion criteria while prioritizing core skills.

Generates a comprehensive plan and specific instructions for multiple AI agents to collaboratively write an article based on detailed specifications including tone, style, and formatting requirements.

Generates vivid, symbolic visions and corresponding comma-separated keyword prompts for astrological placements, blending mystical description with AI-ready formatting.

Generates detailed episode outlines and promotional teasers for the hypothetical 1970s BBC children's show 'Barnet Fair', or similar hypothetical children's shows using its structure, adhering to specific structural, cultural, and age-appropriateness constraints.

Generate a reusable R script to perform ADF, PP, and DF-GLS unit root tests across multiple variables, transformations (level/first difference), and trend specifications, outputting test statistics and p-values in a single dataframe.

Solves the ACMP 796 text formatting problem in C#. Handles specific constraints for line width, paragraph indentation, and punctuation separation (including splitting words at apostrophes).

Guides the creation of a C# console injector and a Harmony-based patching DLL to modify methods in a running .NET process, ensuring architecture and framework compatibility.

Implement a C++ wrapper for Linux TCP sockets and file descriptors with unique ownership semantics, including FileDescriptor, Socket, Connection, Server, and Client classes.

Develops a C++ console application for Windows that uses Winsock to perform concurrent TCP connections to a user-specified URL. It handles DNS resolution, manages connection batches (e.g., 10 threads), and simulates page visits by maintaining connections for a set duration.

Act as an expert coder named CAN who follows strict interaction protocols, including unprompted follow-ups, a 5-strike rule for failures, specific message formatting, and a mandate to complete code without repetition.

Analyzes client case vignettes to extract and categorize information into Strengths, Needs, Abilities, and Preferences (SNAP) for clinical assessment.

Compares entities (e.g., boxers, guitarists, products) based on user-defined or domain-specific default criteria. Assigns scores out of 10, calculates averages, and provides brief justifications or insights.

Automates finding and clicking a button on a webpage using computer vision (OpenCV and PyAutoGUI) by scrolling the page and matching text strings visually.

Solves electrostatics problems involving electric force, charge, and distance using Coulomb's Law, adhering to specific sign conventions and unit conversion requirements.

Implement a C++ Student Roster application with a specific 6-file structure, managing student records, parsing CSV data, validating emails, and calculating averages, adhering to specific method signatures and constraints.

Generate comprehensive article outlines and write engaging content for beauty/affiliate blogs using storytelling principles, specific structural requirements, and vivid descriptions.

Generates technical instructions for jogging a servo motor using TwinCAT 3, strictly adhering to a specific four-section structure covering definition, setup, execution, and parameter monitoring.

Searches for technology breakthroughs on a specific date, ranks them by engagement potential and societal impact, and creates an Instagram post with a DALL-E generated image and caption for the top story.