Causal state gating via ε-machine. Coworld observer that prevents action
Idioma del texto original: inglés
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SkillsMP ha recopilado 5417 skills de majiayu000/claude-skill-registry. Abre una skill para revisar su origen y sus detalles.
majiayu000/claude-skill-registryMostrando 40 de 5417 skills recopiladas.
Causal state gating via ε-machine. Coworld observer that prevents action
Idioma del texto original: inglés
Data science and machine learning platform functions for the East language (TypeScript types). Use when writing East programs that need optimization (MADS, Optuna, SimAnneal, Scipy), machine learning (XGBoost, LightGBM, NGBoost, Torch MLP, Lightning, GP), ML…
Idioma del texto original: inglés
Use when deploying ML models to edge devices, mobile, or browser. Covers ONNX export, CoreML conversion, TensorRT optimization, quantization (PTQ/QAT), and model profiling.
Idioma del texto original: inglés
Edge Model Compression enables deployment of large, accurate machine learning models on resource-constrained edge devices through techniques like quantization, pruning, knowledge distillation, and neu
Idioma del texto original: inglés
Standalone embedding service for semantic search. Runs as persistent FastAPI server for millisecond-latency embeddings. Supports model swapping via env vars. Use when you need vectors for any database (ArangoDB, Pinecone, etc).
Idioma del texto original: inglés
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
Idioma del texto original: inglés
PROTECTED - Chunking strategy and embedding dimension management
Idioma del texto original: inglés
Text embeddings for semantic search and similarity. Use when converting text to vectors, choosing embedding models, implementing chunking strategies, or building document similarity features.
Idioma del texto original: inglés
Create, encode, transform, and select features before model fitting. Use when the user needs feature engineering decisions or implementation, not final training ownership or leakage auditing.
Idioma del texto original: inglés
Enzyme.jl Automatic Differentiation Skill
Idioma del texto original: inglés
ESM2 protein language model for embeddings and sequence scoring. Use this skill when: (1) Computing pseudo-log-likelihood (PLL) scores, (2) Getting protein embeddings for clustering, (3) Filtering designs by sequence plausibility, (4) Zero-shot variant effect…
Idioma del texto original: inglés
Toolkit for protein language models (ESM3 for multimodal generative protein design; ESM C for efficient embeddings). Use when you need sequence/structure/function generation or prediction, inverse folding, protein embeddings, or scalable inference via local…
Idioma del texto original: inglés
LLM and ML model evaluation with lm-evaluation-harness, HELM, and custom benchmarks. Covers metric selection, contamination detection, statistical significance, and leaderboard methodology.
Idioma del texto original: inglés
Measure model performance on test datasets. Use when assessing accuracy, precision, recall, and other metrics.
Idioma del texto original: inglés
Evaluate trained machine learning models with the right metrics and comparison logic. Use for benchmark review, threshold selection, calibration, validation, and model comparison; not for feature engineering or leakage auditing.
Idioma del texto original: inglés
Expert in temporal event detection, spatio-temporal clustering (ST-DBSCAN), and photo context understanding. Use for detecting photo events, clustering by time/location, shareability prediction, place recognition, event significance scoring, and life event…
Idioma del texto original: inglés
Examensvorbereitungs-Fragen für 1. und 2. Staatsexamen erstellen: Anwendungsfall Student will Examenswissen durch gezielte Uebungsfragen trainieren und Schwachstellen erkennen. 1. StEx und 2. StEx, JAG Bundesland Bayern NRW Hamburg, Subsumtion Gutachtenstil.…
Idioma del texto original: alemán
Recommends using Hydra or YAML for experiment configuration to ensure clarity and reproducibility.
Idioma del texto original: inglés
Manages ML experiment tracking with MLflow, Weights & Biases, or SpecWeave's built-in tracking. Activates for "track experiments", "MLflow", "wandb", "experiment logging", "compare experiments", "hyperparameter tracking". Automatically configures tracking…
Idioma del texto original: inglés
Make AI model decisions interpretable and transparent. Use for: implementing SHAP for feature importance analysis, using LIME for local explanations, creating attention visualizations for deep learning, generating counterfactual explanations, building…
Idioma del texto original: inglés
Identify and document model hyperparameters from papers. Use when setting up training configurations.
Idioma del texto original: inglés
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Idioma del texto original: inglés
ML Engineer role: LLM APIs (OpenAI, Claude, Gemini), embeddings, RAG pipelines, fine-tuning, LangChain, LlamaIndex, vector databases (Pinecone, Chroma, Weaviate), prompt engineering, model evaluation, cost optimization.
Idioma del texto original: inglés
ML operations: fine-tuning (LoRA, QLoRA), model evaluation, cost optimization, observability.
Idioma del texto original: inglés
Multimodal AI: vision, image/video generation, speech-to-text, text-to-speech, voice synthesis.
Idioma del texto original: inglés
RAG engineering: embeddings, chunking, vector databases, hybrid search, reranking.
Idioma del texto original: inglés
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Idioma del texto original: inglés
AI-powered image editing with style transfer and object removal
Idioma del texto original: inglés
Generate images, videos, audio, and more using fal.ai AI models. Use when user requests: "generate image", "create video", "make a picture", "text to image", "image to video", "text to speech", "transcribe audio", "edit image", "remove background", "upscale…
Idioma del texto original: inglés
Work with FASTQ quality scores using Biopython. Use when analyzing read quality, filtering by quality, trimming low-quality bases, or generating quality reports.
Idioma del texto original: inglés
End-to-end DNA sequencing workflow from FASTQ files to variant calls. Covers QC, alignment with BWA, BAM processing, and variant calling with bcftools or GATK HaplotypeCaller. Use when calling variants from raw sequencing reads.
Idioma del texto original: inglés
End-to-end DNA sequencing workflow from FASTQ files to variant calls. Covers QC, alignment with BWA, BAM processing, and variant calling with bcftools or GATK HaplotypeCaller.
Idioma del texto original: inglés
Comprehensive feature engineering for ML pipelines: data quality assessment, feature creation, selection, transformation, and encoding. Activates for "feature engineering", "create features", "feature selection", "data preprocessing", "handle missing values",…
Idioma del texto original: inglés
Online/offline feature serving, point-in-time correctness, Feast patterns, and feature computation design.
Idioma del texto original: inglés
Count reads per gene from aligned BAM files using Subread featureCounts. Use when you have BAM files from STAR/HISAT2 and need gene-level counts for DESeq2/edgeR.
Idioma del texto original: inglés
Train models across distributed clients with privacy-preserving federated algorithms
Idioma del texto original: inglés
Fetch recent AI/ML research papers from arXiv RSS feeds and store them in memory. Uses RSS tool for fetching and memory MCP for storage and deduplication.
Idioma del texto original: inglés
Optimización evolutiva y paramétrica basada en Fibonacci y el Número Áureo (phi).