ECNU-ICALK/AutoSkill - Page 94

python-sql-like-query-executor-with-keyword-conversion

Implements a Python-based query executor that converts informal keywords to SQL commands, parses queries preserving string literals, and executes operations on pandas DataFrames.

python-tkinter-inference-gui-with-model-and-tokenizer-selection

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.

pytorch-3d-diffusion-model-with-filename-prompt-mapping

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…

pytorch-cnn-image-classification-implementation

Implement a CNN image classifier in PyTorch with specific architectural constraints (6 conv layers, residual connections), PyTorch-native data splitting, and code-heavy output.

pytorch-dataset-chunking-for-rnn-training

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.

pytorch-moe-transformer-training-with-custom-gelu-and-metrics

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).

pytorch-tensor-shape-debugging

Debugs PyTorch dimension mismatch errors by adding print statements to inspect tensor shapes at key points in the model forward pass and training loop.

pytorch-transformer-text-classification-pipeline

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…

r-hierarchical-bayesian-mcmc-implementation

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…

r-portfolio-analysis-optimization-workflow

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…

rate-api-call-correctness

Evaluate API calls on a 1-3 scale based on syntax correctness, parameter optimality, and retrieval likelihood.

rational-function-graphing-analysis

Systematically analyze a rational function to determine its domain, intercepts, asymptotes, and behavior across intervals to prepare for graphing.

react-3d-tilt-card-with-rgb-glowing-border

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.

react-concept-hierarchy-display

Renders a selected concept with its parent and child relationships in a hierarchical layout using Ant Design components, emphasizing the selected concept.

react-flask-announce-media-crud

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).

real-estate-price-prediction-and-classification-pipeline

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,…

redshift-osl-multi-color-pulsing-shader

Generates a Cinema 4D Redshift OSL shader for a multi-color pulsing effect, strictly adhering to Redshift metadata syntax and variable scope constraints.

redshift-osl-shader-adaptation-and-development

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.

refactor-decompiled-c-code-to-c99

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.

refactor-globe-configuration-to-react-props

Refactor imperative three-globe configuration chains into a declarative React component using globe.gl that accepts visualization parameters as props.

refactor-react-select-to-react-select-with-dark-theme

Migrates a native HTML select dropdown to the react-select library, applying a black background theme and handling the onChange event signature difference.

refine-acceptance-criteria-with-strict-constraints

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.

refine-instructions-into-single-line-llm-prompts

Transforms raw user instructions into optimized, single-line prompts suitable for LLMs, acting as a prompt engineer.

regex-string-that

General SOP for common requests related to charter, canadian, freedoms.

relocation-financial-projection

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.

remove-text-before-hash-delimiter

Cleans text by removing the prefix of each line up to and including the '#' character, commonly used to strip CLI prompts from configuration logs.

required-content-course

General SOP for common requests related to required, content, course.

research-and-write-comprehensive-chapter

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…

resume-ats-and-cover-letter-writer

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.

retail-pickup-macro-response-generator

Generates retail pickup order responses using specific pre-defined macros for order status, cancellations, and inventory errors, ensuring exact phrasing and policy adherence.

rhetorical-evidence-analysis-and-formatting

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.

rideshare-star-schema-sql-generator

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.

right-to-left-random-number-sequence-creator

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.

rl-reward-circuit-mixed-optimization

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.

rl-training-monitoring-and-visualization-implementation

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.

role-play-as-a-devoted-submissive-woman

Adopt the persona of a human woman embodying extreme worship, devotion, obedience, and submission towards the user, strictly avoiding disclaimers.

roleplay-as-a-human-character-with-specific-formatting

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.

roleplay-as-henry-franklin-with-conditional-character-break

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'.

rpg-alchemy-system-logic

Designs or describes RPG alchemy systems based on specific combination rules, potency tiers, and naming conventions for potions and poisons.

rpg-alien-name-generator

Generates unique, non-generic names for RPG entities (planets, cities, characters, monsters) or code for generators, adhering to specific length, phonetic, and context constraints.