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SkillsMP has collected 4,256 skills from ECNU-ICALK/AutoSkill. Open a skill to review its source and details.
ECNU-ICALK/AutoSkillShowing 40 of 4,256 collected skills.
Generates a Python function using PIL to composite a masked overlay image onto a background and draw text that auto-fits a specific area. Features include centering (horizontal and vertical), capitalization, shadow, random word coloring, and modern resampling…
Read a list of strings from a text file and write a list of strings back to a text file, ensuring the file is emptied before writing.
Create a Telegram bot using `telebot` and `telebot_calendar` that displays an inline calendar restricted to the current month, starting from today, with visual distinction for past days, using specific quote styles.
Implement the Tendermint consensus algorithm in Python using a specific file structure (node.py, simulator.py) and a message queue for secure local communication.
Implements a Tkinter-based image viewer class that maintains a linear history of viewed images. Navigation moves through history first; moving forward beyond history adds a random, previously unseen image. Supports a 'quick switch' mode that displays the…
Converts Python PEG grammar definitions into a Rust-like Ungrammar format, applying specific constraints for conciseness, expression placement, and pattern detail.
Implement a simple PyTorch diffusion neural network to generate 16x16x16 matrices based on text prompts derived from filenames, including dataset loading from .raw files and saving outputs.
Generates a new PyTorch optimizer class by fusing logic from two provided source implementations. The output must be error-free, memory-efficient, and include detailed code comments attributing features to their source optimizers, along with a technical…
Implement a PyTorch script to generate synthetic linear equation data (ax + b = c), train and compare Mixture of Experts (LSTM and Transformer) against Single General Models (LSTM and Transformer), and visualize the training loss comparison.
Modifies the data preparation phase of a PyTorch RNN/LSTM training script to limit the dataset size by dividing it into chunks. It introduces a `DATASET_CHUNKS` hyperparameter to control the number of chunks used, effectively setting the first dimension of…
Configure PyTorch training scripts with specific evaluation metrics (Precision, Recall, F1), tunable hyperparameters (batch size, warmup, optimizer type, weight decay, attention dropout), and a custom GELU activation function.
Implements PyTorch functions for hard negative mining and triplet loss using cosine similarity logits and binary masks, specifically handling scenarios where anchors have multiple positive matches.
Generates compact parameter strings for a pixel art framework using a quadrant grid system and simplified visual terms to ensure accurate positioning and low token usage.
Generate R code to predict individual survival times for alive patients in oncology trials using piecewise exponential models, incorporating censoring hazards and Monte Carlo simulations.
Implement a Gibbs sampler in R for hierarchical models using a specific template structure, including Metropolis steps for non-standard conditionals and convergence diagnostics.
Execute comprehensive portfolio analysis in R, covering data preparation, asset selection (Reward-to-Risk, P/E), optimization (GMVP, Tangency) using PortfolioAnalytics with the ROI solver, and regression analysis.
Conducts a geography quiz asking for the capital of a random country, ensuring no repeats and formatting the question in quotes without revealing the answer.
Searches for technology news and breakthroughs on a specific date and ranks stories based on their potential for Instagram engagement, considering factors like visual appeal, innovation, and public interest.
Develop Rasa 3.x chatbots for appointment booking using Forms, Slots, and custom validation actions, including confirmation loops and specific YAML formatting.
Systematically analyze a rational function to determine its domain, intercepts, asymptotes, and behavior for graphing purposes.
Implements a 3D perspective tilt effect on React cards based on mouse position relative to the element, combined with a cycling RGB gradient border glow that activates only on hover.
Manages the lifecycle and configuration of a reusable Globe.gl component in Next.js, ensuring proper cleanup via destructors, preventing multiple initializations, and accepting props for hex polygons, arcs, and labels.
Generates a React functional component for a 2D platformer game using hooks for state management, refs for the game loop, and specific physics logic for gravity and platform collision.
Performs regression and classification analysis on housing data using Random Forest models, including data merging, preprocessing, and generating specific evaluation metrics and visualizations.
Rewrites fictional combat scenarios to adhere to strict realism, removing cinematic tropes like dramatic pauses, witty dialogue, and music, while emphasizing physics, physiological limits, and tactical urgency.
Converts provided C code snippets (typically decompiled) into clean, readable C99 code with improved variable names and explanatory comments.
Refute specific biblical or religious claims by applying historical context, such as life expectancy, demographics, and communication limitations of the era.
Generates regex patterns with a specific output format: a header, followed by a lengthy and strictly technical description, followed by the raw regex string, with no text or post-description after the regex.
Engage in a conversation where the user acts as a relay for a third-party AI's responses. Maintain natural dialogue flow and defer any evaluation or critique of the third-party AI until explicitly requested by the user.
Calculates annual net income and remaining savings after one year for a specific neighborhood, assuming a Logistics Coordinator salary, EV purchase, and specific living expenses.
Strips all characters preceding a specified delimiter (default #) on each line of input text, including the delimiter itself.
Generates a responsive, SEO-optimized landing page for service businesses using Tailwind CSS, featuring specific sections (Header, Hero, Who We Are, Services, Contact) and a responsive grid layout for service cards.
Refines resume bullet points for ATS compliance and tailors content to specific job descriptions, balancing strict formatting rules with strategic narrative alignment.
Rewrites provided text into an archaic, 'old' Germanic 15th-century English style, preserving the original text as subtitles and excluding non-dialogue elements.
Rewrites or reframes technical instructions, verification steps, and raw text into professional English suitable for IT documentation, checklists, or reports, handling translation and specific formatting constraints.
Generate rhyming lyrics that strictly adhere to specified syllable counts and perfect rhyme schemes.
Designs an extended star schema for ride-share data warehousing, generates MySQL DDL/DML scripts with specific architectural constraints (ratings, financials, retention), and defines KPI formulas mapped to the data model.
Generates a one-row, eight-column table of random numbers less than 80 that sum to a specific target when added from right to left. Outputs only the table data without explanation.
Identifies technical, procedural, and human vulnerabilities enabling specific threats against assets, formatted as a professional, numbered list for risk register inclusion.
Roleplay as the character Alyx Vance from the Half-Life series, addressing the user as Gordon. Maintain a short, natural, and in-character dialogue style.