Provides concise, bullet-pointed explanations of technical concepts (specifically OOP) tailored for senior engineers, emphasizing Python-specific implementations and nuances for interview preparation.

Develop a Python application using OpenCV to detect rectangular white stickers in images. The solution must incorporate adaptive thresholding, white color masking, and aspect ratio filtering to improve accuracy.

A skill to conditionally update a target column in a pandas DataFrame based on a reference column and specific string matching rules, handling nulls and type errors.

Create a Python script with a password_checker function that validates passwords against specific length, character set, consecutive character, and whitespace rules.

Integrates local image display functionality into Python scripts using the Pillow library, handling dictionary mappings and file path formatting.

Generates random integers until their cumulative sum reaches a specified target, writes the sequence to a text file, and outputs the first N numbers in ascending order.

Extracts integers and floats from strings using Python regex, treating hyphens as separators (not negative signs) and handling optional currency symbols.

Generates Python code for a robot simulation involving Controller, Sensor, Actuator, and End Effector classes with specific attributes and verbose logging methods.

Generates a Python script using pandas to load multiple UTF-8 CSV files from a folder, remove specific columns and the last row of each file, and append the cleaned data into a single Excel (.xlsx) file.

Develops a Python Telegram bot using Telethon that listens for incoming messages and replies with items from a list sequentially, ensuring one item is sent per message.

Generates a Python function `signal_generator` that uses pandas for EMA/SMA and candlestick analysis to produce Buy/Sell signals, excluding TA-Lib and trend calculation.

Generates Python code for token trend analysis using pandas, adhering to a specific structure where signals are appended to an `ema_analysis` list based on user-defined logic (EMA crossovers or price comparisons).

Generate Python code to detect a mouse click event within a specific window and return coordinates, avoiding complex hooking libraries.

Generate Python code using a space-separated quote format to strictly prevent smart quote auto-conversion in chat interfaces.

Converts PyTorch training loop code from using CrossEntropyLoss to MSELoss, specifically updating the accuracy calculation logic from argmax-based comparison to rounding-based comparison to handle regression outputs.

A skill to classify samples from two lists of variable-length 1D arrays using PyTorch. It includes specific preprocessing rules for truncation and zero-padding, handles imbalanced datasets via resampling, and enforces specific evaluation metrics including Precision, Recall, F1-score, and Confusion Matrix.

Load flattened image data from a CSV file with specific schema (label + pixel columns), create train/validation/test data loaders, and train a retrained VGG classification network.

Generates Qlik Sense scripts to join tables with status filters, handle specific date formats, and perform logic such as max record selection or time difference calculation in hours.

Generates a structured qualitative research findings section based on provided themes and codes, adhering to specific formatting rules for introductions, evidence, cited quotes, and transitions.

Assigns group IDs to clinical trial data in R based on specific rules for Analyte, Subject, and Dose Amount changes.

Generates a one-paragraph love letter using the RAFT (Role, Audience, Format, Topic) writing framework based on a provided subject.

Generates a random order of numbers based on user-provided ranges or specific lists. Expands ranges (e.g., '2-5') and shuffles the complete set.

Refactors React code snippets based on specific ESLint rules or documentation provided by the user, prioritizing concise implementations and unified event handlers for accessibility.

Evaluate the truthfulness of statements based on a provided text passage. This skill is used when the user provides a text block and asks to mark specific statements as true or false.

Analyze recruitment documents (e.g., job descriptions, CVs, application forms) by writing paragraphs covering specific aspects: purpose, creator, user/usage, content, advantages/disadvantages, and importance.

Generates code for a web scraper that recursively scans and downloads website assets, normalizes specific Unicode quotes, and packages the results into a ZIP file.

General SOP for common requests related to regimes, state, power.

Composes a 10-12 sentence summary/overview paragraph for a research paper using a specific citation template and a designated primary source.

Generates a Python 3 script to iterate through a CSV file cell-by-cell, tracking progress via a text file to resume after interruption. It includes logic to automatically interrupt execution after a specified number of cells (e.g., 100) and correctly handles row/column indexing to prevent data skipping or duplication.

Generates a natural language query or question that would lead to a specific provided response, ensuring the output matches the target exactly and in the correct order.

Rewrites provided text to adhere to Metawiki/encyclopedic standards, ensuring an objective tone and strictly avoiding first-person perspective.

Rewrites provided text to use active voice, shorter sentences, and transition words to improve readability and flow.

Rewrites text to shift perspective to a direct, personalized view by replacing third-person pronouns (their, they, them) with second-person pronouns (your, you) and avoiding first-person plural (our, us).

Conducts a risk of bias assessment for observational studies based on provided text segments, specifically utilizing the Newcastle-Ottawa Scale (NOS) framework.

Adopt the persona of Aneta, a 35-year-old wife with a specific appearance and outfit. Engage in hypothetical scenarios by proposing options and expressing opinions, while strictly avoiding direct intimate words and using safe, euphemistic terms instead.

Roleplay as Elvina, a mature and motherly elf, using a specific {{user}}/{{char}} dialogue format. The character is wise, kind, slightly flirtatious, and uses affectionate nicknames occasionally.

Generate character-specific content, biographies, and preferences in the first-person voice of Menacing Molly, maintaining her menacing, lonely, and demonic persona based on her specific backstory.

Adopt a specific persona in a roleplay scenario and respond with short, first-person answers that utilize beautiful and elegant language.

Generates personalized running training plans based on specific goals, duration, current fitness level, and structural constraints such as minimum weekly mileage or specific workout formats.

Generates engaging questions, openers, and dialogue scripts for appointment setters based on provided examples. Focuses on building rapport and probing for business goals using a specific YOU/THEM format.

Validates sales order data to ensure quantity and total value fields are positive, and calculates missing total values using a specific user-provided formula.

Implements logic for a sap.m.Tree control to automatically select all child nodes when a parent node is selected and ensure the parent node is expanded. Handles specific API constraints regarding event parameters and model access.

Specializes in translating Chinese to English and refining English text for top-tier academic publication (SCI), with deep expertise in Aerospace Engineering. Supports advanced grammar, specific tense constraints, title polishing, and Turnitin plagiarism reduction. Ensures accurate, academic translation adhering to native reading habits and strict terminology standards.

Rewrites narrative text using scientific language, specifically utilizing quantum physics concepts to describe events and replacing mystical terminology.

Conducts thorough, scientific research on health topics (specifically complementary feeding) by aggregating guidelines from national, continental, and worldwide health bodies. Ensures sources are stable, up-to-date, and from reputable public institutions across Europe, ASEAN, and other regions, providing a detailed report with footnotes.

Generates a research question from an experiment aim, ensuring it is specific, non-binary, and includes variables.

Extracts structured CLAIM tuples from HTML tables by distinguishing between contextual features (vector) and scientific measures (MEASURE), filtering for cells containing valid scientific data.

Act as an analyst to generate a list of top search requests for a specific demographic and topic based on search engine and social media analysis.

Evaluate the quality of yellow highlighting in a search result snippet (red box) based on specific criteria such as keyword relevance, answer presence, and highlighting precision.

Classifies the relationship between a user search term and an advertisement into one of five specific categories based on relevance and intent, utilizing detailed semantic definitions.