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mxslr/mlcraft

23 skills

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$npx skills add mxslr/mlcraft
SkillInstalls
accuracy-improvement-loopUse when an existing model's results are disappointing and the user wants higher accuracy - 'accuracy is still too low', 'improve/boost the model', 'why is it…—data-rigor-and-leakageUse BEFORE training any model, to build correct train/val/test splits and hunt data leakage - the #1 cause of fake-high accuracy.—dataset-profilingUse as the FIRST step of any ML task, before choosing a model, to inspect and understand the actual dataset.—deployment-explainabilityUse when turning a trained model into something usable (an app, an inference function, a demo) or adding explainability.—domain-3dUse for 3D and point cloud tasks: point cloud classification, 3D semantic or instance segmentation, 3D object detection from LiDAR, and depth or mesh analysis,…—domain-anomaly-detectionUse for anomaly, outlier, and novelty detection across data types: industrial or visual defect detection, time-series or sensor anomalies and predictive…—domain-audio-speechUse for audio and speech tasks: speech recognition (speech to text, ASR, transcription), audio or sound classification and tagging, keyword spotting, speaker…—domain-computer-visionUse for computer-vision tasks on natural/general images: image classification, object detection (vehicles, faces, people, products), face…—domain-generativeUse for generative modeling of images and audio: text-to-image, image editing or image-to-image, unconditional image generation, inpainting, super-resolution,…—domain-graphUse for graph machine learning: node classification, link prediction, graph classification or regression, recommendation on graphs, molecule or network…—domain-medical-imagingUse for medical-image AI: tumor/cancer detection & classification, brain tumor MRI, mammography (benign vs malignant), chest X-ray, CT, histopathology,…—domain-multimodalUse for vision-language and multimodal tasks: image-text retrieval, zero-shot image classification, visual question answering (VQA), image captioning, document…—domain-nlp-llmUse for text / NLP / LLM tasks: text classification, sentiment, NER/token tagging, QA, summarization, translation, semantic search / embeddings,…—domain-recommenderUse for recommendation and ranking systems: product or content recommendation, collaborative filtering, candidate retrieval, learning to rank, next-item or…—domain-reinforcement-learningUse for reinforcement learning and sequential decision making: game or control agents, robotics, continuous or discrete control, offline RL from logged data,…—domain-tabularUse for structured/tabular data prediction: churn, fraud, credit/risk scoring, price/demand regression, conversion, recommendation features, any CSV/database…—domain-time-seriesUse for time-series tasks: forecasting (demand, sales, energy, finance), time-series classification, and anomaly detection over time (sensors, logs,…—domain-videoUse for video understanding: action or activity recognition, video classification, temporal action detection or localization in untrimmed video, gesture…—literature-reviewUse when starting an ML task or choosing a method, to research papers/benchmarks and find the best approach and the REALISTIC accuracy ceiling.—ml-research-methodologyUse at the START of ANY machine-learning / deep-learning / AI modeling task - building, training, fine-tuning, or choosing a model for image classification,…—notebook-deliveryUse when producing a runnable deliverable for an ML task, to decide the target environment and author the notebook or script.—rigorous-evaluationUse when evaluating or reporting model performance and choosing metrics, thresholds, and plots that FIT the problem type.—training-optimizationUse when training or fine-tuning a deep model and tuning it for best accuracy.—