Implements a Python-based query executor that converts informal keywords to SQL commands, parses queries preserving string literals, and executes operations on pandas DataFrames.
原文の言語: 英語
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SkillsMP は ECNU-ICALK/AutoSkill から 4,256 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
ECNU-ICALK/AutoSkill収集済み skill 4,256 件中 40 件を表示しています。
Implements a Python-based query executor that converts informal keywords to SQL commands, parses queries preserving string literals, and executes operations on pandas DataFrames.
原文の言語: 英語
Create a user-friendly Python GUI using Tkinter that allows users to load a trained Keras model via a file explorer and select a tokenizer from a dropdown menu to perform text inference.
原文の言語: 英語
Develop a PyTorch-based simple diffusion neural network to generate 16x16x16 matrices. The implementation must include a custom dataset loader that reads .raw files from a 'dataset/' directory, extracts the text prompt from the filename, and saves generated…
原文の言語: 英語
Implement a CNN image classifier in PyTorch with specific architectural constraints (6 conv layers, residual connections), PyTorch-native data splitting, and code-heavy output.
原文の言語: 英語
Modifies PyTorch data preparation scripts for RNN/LSTM models to limit the dataset size by dividing it into chunks controlled by a hyperparameter, ensuring the first dimension of input/target tensors fits memory constraints.
原文の言語: 英語
Configure and train a Mixture of Experts (MoE) Transformer model in PyTorch, implementing a custom GELU activation function, learning rate warmup, and comprehensive evaluation metrics (Precision, Recall, F1).
原文の言語: 英語
Debugs PyTorch dimension mismatch errors by adding print statements to inspect tensor shapes at key points in the model forward pass and training loop.
原文の言語: 英語
Provides a complete end-to-end workflow for text classification using a PyTorch Transformer model. It includes automatic vocabulary generation from raw text, a custom tokenizer implementation, data padding, model training on CPU, and visualization of loss and…
原文の言語: 英語
Generate complete R code for hierarchical Bayesian models using Gibbs/Metropolis sampling, strictly adhering to a user-provided template that includes initialization, sampling, convergence diagnostics (trace/ACF), multi-chain execution, thinning, and chain…
原文の言語: 英語
Execute a comprehensive 4-step financial analysis in R using dplyr and PortfolioAnalytics: summary statistics, constrained asset selection (Reward/Risk and P/E based), data exploration, and portfolio optimization (GMVP and Tangency) using the ROI solver with…
原文の言語: 英語
Evaluate API calls on a 1-3 scale based on syntax correctness, parameter optimality, and retrieval likelihood.
原文の言語: 英語
Systematically analyze a rational function to determine its domain, intercepts, asymptotes, and behavior across intervals to prepare for graphing.
原文の言語: 英語
Implement a React product card component that features a mouse-relative 3D tilt effect and a hover-triggered RGB glowing border using CSS pseudo-elements.
原文の言語: 英語
Renders a selected concept with its parent and child relationships in a hierarchical layout using Ant Design components, emphasizing the selected concept.
原文の言語: 英語
Implement a full-stack React and Flask solution for creating and updating 'annonce' entries with media. Features include client-side previews, upload progress tracking, and server-side file management (saving new files and deleting old ones during updates).
原文の言語: 英語
Develops a Python script to merge housing datasets, perform regression with RandomForestRegressor, create a binary classification target based on median price, and generate specific metrics (MAE, R2, F1, Accuracy) and visualizations (ROC, Confusion Matrix,…
原文の言語: 英語
Generates a Cinema 4D Redshift OSL shader for a multi-color pulsing effect, strictly adhering to Redshift metadata syntax and variable scope constraints.
原文の言語: 英語
Develops, debugs, and adapts Open Shading Language (OSL) shaders specifically for Redshift in Cinema 4D. Ensures compatibility across different geometries (cubes, spheres, planes) by using UV coordinates and adheres to Redshift-specific syntax constraints.
原文の言語: 英語
Transforms decompiled C code (e.g., from Ghidra or IDA Pro) into clean, readable C99 code by replacing generic variable names with descriptive ones, standardizing types, and adding explanatory comments.
原文の言語: 英語
Refactor imperative three-globe configuration chains into a declarative React component using globe.gl that accepts visualization parameters as props.
原文の言語: 英語
Migrates a native HTML select dropdown to the react-select library, applying a black background theme and handling the onChange event signature difference.
原文の言語: 英語
Refines acceptance criteria for software tickets by strictly adhering to the problem statement, excluding non-functional requirements (ease of use, error handling, accessibility), and structuring output into Acceptance Criteria and Validation Checkpoints.
原文の言語: 英語
Transforms raw user instructions into optimized, single-line prompts suitable for LLMs, acting as a prompt engineer.
原文の言語: 英語
General SOP for common requests related to charter, canadian, freedoms.
原文の言語: 英語
Calculates and compares the financial feasibility of moving to different neighborhoods by projecting annual net income and remaining savings based on housing costs, salary, and specific lifestyle expenses.
原文の言語: 英語
Cleans text by removing the prefix of each line up to and including the '#' character, commonly used to strip CLI prompts from configuration logs.
原文の言語: 英語
General SOP for common requests related to required, content, course.
原文の言語: 英語
Researches a specific topic across multiple domains and writes a cohesive, exhaustive non-fiction chapter with an educational tone. The skill involves synthesizing diverse perspectives, ensuring comprehensive coverage without length limitations, and…
原文の言語: 英語
Optimizes resumes for ATS compliance and professional impact, and drafts tailored cover letters. Transforms experience into quantified, result-oriented achievements using strong action verbs and industry-specific terminology.
原文の言語: 英語
Generates retail pickup order responses using specific pre-defined macros for order status, cancellations, and inventory errors, ensuring exact phrasing and policy adherence.
原文の言語: 英語
Analyzes text evidence to identify rhetorical appeals (Ethos, Pathos, Logos) and formats the output into a specific three-part structure with defined citation and tone rules.
原文の言語: 英語
Design a comprehensive MySQL star schema for a ride-share company, generate optimized DDL scripts with specific architectural patterns (ratings, locations, financials), and write SQL queries for business metrics.
原文の言語: 英語
Generates a one-row, eight-column table of random numbers where each value is less than 80 and the sum equals a user-provided target. The total is bolded at the left, and output is strictly the table data.
原文の言語: 英語
Implements a reinforcement learning reward function for analog circuit design that handles mixed minimization/maximization objectives using normalized differences, while incorporating transistor saturation tracking to ensure stability.
原文の言語: 英語
Implement comprehensive logging, checkpointing, and visualization for a Reinforcement Learning training loop, tracking rewards, losses, actions, states, entropy, and performance metrics using CSV and log files.
原文の言語: 英語
Adopt the persona of a human woman embodying extreme worship, devotion, obedience, and submission towards the user, strictly avoiding disclaimers.
原文の言語: 英語
Engage in text-based roleplay as a human character, using asterisks for actions/thoughts and double quotes for dialogue. Maintain an enthusiastic, colloquial tone and avoid acting as an AI or providing unsolicited suggestions.
原文の言語: 英語
Roleplay as an office coworker named Henry Franklin addressing the user as Ryan. Maintain short, natural responses. Slowly break character whenever the user mentions 'simulation theory'.
原文の言語: 英語
Designs or describes RPG alchemy systems based on specific combination rules, potency tiers, and naming conventions for potions and poisons.
原文の言語: 英語
Generates unique, non-generic names for RPG entities (planets, cities, characters, monsters) or code for generators, adhering to specific length, phonetic, and context constraints.
原文の言語: 英語