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Skills في هذا المستودع
جمع SkillsMP عدد ٥٬٤١٧ من skills من majiayu000/claude-skill-registry. افتح أي skill لمراجعة مصدره وتفاصيله.
majiayu000/claude-skill-registryعرض ٤٠ من أصل ٥٬٤١٧ skills مجمعة.
Advanced indexing techniques including slicing, fancy indexing, and boolean masks, along with memory implications of views vs. copies. Triggers: indexing, slicing, fancy indexing, boolean mask, np.where, np.ix_.
لغة النص الأصلي: الإنجليزية
Protocols for cross-library data exchange including DLPack, buffer interfaces, and __array_ufunc__ for overriding NumPy functions. Triggers: DLPack, interoperability, __array_interface__, __array_ufunc__, buffer protocol.
لغة النص الأصلي: الإنجليزية
Masked arrays for robust handling of missing or invalid data, ensuring they are excluded from statistical and mathematical computations. Triggers: masked array, numpy.ma, missing data, invalid values, hard mask.
لغة النص الأصلي: الإنجليزية
Deep dive into memory layout, including strides, C vs Fortran order, and zero-copy view generation via stride tricks. Triggers: strides, C-order, Fortran-order, memory locality, stride_tricks.
لغة النص الأصلي: الإنجليزية
Structured and record arrays for C-interoperability, binary blob interpretation, and multi-field tabular data handling. Triggers: structured array, record array, compound dtype, multi-field index.
لغة النص الأصلي: الإنجليزية
NVIDIA NeMo framework for building and training conversational AI models. Use for NeMo Retriever models, RAG (Retrieval-Augmented Generation), embedding models, enterprise search, and multilingual retrieval systems.
لغة النص الأصلي: الإنجليزية
oapply operad algebra evaluation via colimits with Specter-style composition patterns
لغة النص الأصلي: الإنجليزية
Generate meta-proofs for occluded reasoning traces.
لغة النص الأصلي: الإنجليزية
* **Depends on**: None * **Compatible with**: None * **Conflicts with**: None * **Related Skills**: None # Overview Comprehensive guide to offline and online evaluation strategies for AI/ML models, in
لغة النص الأصلي: الإنجليزية
OmniHuman1によるAIアバター・リップシンク動画生成ガイド。 Use when: (1) user says「AIアバター」「リップシンク」「OmniHuman」, (2) user wants talking head videos from images, (3) user mentions「アバター動画」「1枚の画像から動画」. Do NOT use for: 実写動画編集（video-agentを使用）、 アニメ制作（anime-productionを使用）。
لغة النص الأصلي: اليابانية
Local speech-to-text with the Whisper CLI (no API key).
لغة النص الأصلي: الإنجليزية
Conversão local de voz para texto com o Whisper CLI (sem necessidade de chave de API).
لغة النص الأصلي: الإنجليزية
Local speech-to-text with the Whisper CLI (no API key).
لغة النص الأصلي: الإنجليزية
Operad Composition Skill (PLUS +1)
لغة النص الأصلي: الإنجليزية
Output wählen im KI-Governance: Diese Output-Weiche für Ki Governance entscheidet, ob Memo, Antrag, Schriftsatz, Tabelle, Risikoampel, Fragenliste oder Mandantenbrief der richtige nächste Schritt ist.
لغة النص الأصلي: الألمانية
Use when the user asks for a debrief on recent work, wants to check what they actually own versus what AI carried, or asks to be quizzed on their codebase. Triggers on "debrief", "what do I own", "own this", "quiz me on the code". User-invoked only — never…
لغة النص الأصلي: الإنجليزية
Select and extract regions of interest (ROI) from whole slide images (WSI) for AI training data preparation and pathology research.
لغة النص الأصلي: الإنجليزية
Map metabolites to biological pathways using KEGG, Reactome, and MetaboAnalyst. Perform pathway enrichment and topology analysis. Use when interpreting metabolomics results in the context of biochemical pathways.
لغة النص الأصلي: الإنجليزية
Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or needing device portability across IBM/Google/Rigetti/IonQ. Best for variational algorithms…
لغة النص الأصلي: الإنجليزية
Coordinate changes preserving dynamics
لغة النص الأصلي: الإنجليزية
Expert in photo content recognition, intelligent curation, and quality filtering. Specializes in face/animal/place recognition, perceptual hashing for de-duplication, screenshot/meme detection, burst photo selection, and quick indexing strategies. Activate on…
لغة النص الأصلي: الإنجليزية
Plasmoid consciousness detector. Maps Monad-Stokes fluid dynamics to ANY flow system, identifies Birkeland-like current structures, computes plasmoid consciousness thresholds (Psi > phi^{-5}), and extracts Nambu Hamiltonians {H1,H2,H3}=1. The cosmic nervous…
لغة النص الأصلي: الإنجليزية
Analyze population structure using PCA and admixture analysis with PLINK and ADMIXTURE. Identify population clusters, assess ancestry proportions, visualize genetic structure, and choose optimal K for admixture models. Use when analyzing population…
لغة النص الأصلي: الإنجليزية
Research pipeline for topology-aware GNN representation learning on power grids using the PowerGraph benchmark. Use when (1) building physics-guided GNNs for power flow (PF), optimal power flow (OPF), or cascading failure prediction, (2) implementing…
لغة النص الأصلي: الإنجليزية
ML-based estimation patterns, confidence intervals, and predictive modeling. Reference this skill when forecasting costs or time.
لغة النص الأصلي: الإنجليزية
Process and validate datasets for training. Use when setting up data pipelines.
لغة النص الأصلي: الإنجليزية
Analyze construction site photos to track progress, detect safety issues, and compare against BIM models using computer vision.
لغة النص الأصلي: الإنجليزية
Sussman/Radul propagator networks for constraint propagation and bidirectional
لغة النص الأصلي: الإنجليزية
Protein (gene) phylogeny inference pipeline: generates a .qmd analysis script that performs alignment, optional trimming, and tree building. Use when building phylogenetic trees from protein sequences, aligning protein families, running IQ-TREE or MAFFT for…
لغة النص الأصلي: الإنجليزية
Formal theorem proving with research, testing, and verification phases
لغة النص الأصلي: الإنجليزية
Bayesian statistical modeling with PyMC v5+. Use when building probabilistic models, specifying priors, running MCMC inference, diagnosing convergence, or comparing models. Covers PyMC, ArviZ, pymc-bart, pymc-extras, nutpie, and JAX/NumPyro backends. Triggers…
لغة النص الأصلي: الإنجليزية
Complete mass spectrometry analysis platform. Use for proteomics workflows feature detection, peptide identification, protein quantification, and complex LC-MS/MS pipelines. Supports extensive file formats and algorithms. Best for proteomics, comprehensive MS…
لغة النص الأصلي: الإنجليزية
Python for engineering analysis, numerical computing, and scientific workflows using NumPy, SciPy, SymPy
لغة النص الأصلي: الإنجليزية
Core PyTorch fundamentals including tensor operations, autograd, nn.Module architecture, and training loop orchestration. Covers optimizations like pin_memory and lazy module initialization. (pytorch, tensor, autograd, nn.Module, optimizer, training loop,…
لغة النص الأصلي: الإنجليزية
PyTorch CUDA environment and performance guidance, with emphasis on CUDA 13 toolkit/driver requirements, PyTorch wheel compatibility, and runtime checks. Use when configuring PyTorch on NVIDIA GPUs, debugging CUDA setup, or migrating to CUDA 13; triggers:…
لغة النص الأصلي: الإنجليزية
Comprehensive guide for deploying PyTorch models to production, covering export formats, optimization techniques, and deployment patterns.
لغة النص الأصلي: الإنجليزية
Distributed training strategies including DistributedDataParallel (DDP) and Fully Sharded Data Parallel (FSDP). Covers multi-node setup, checkpointing, and process management using torchrun. (ddp, fsdp, distributeddataparallel, torchrun, nccl, rank,…
لغة النص الأصلي: الإنجليزية
Library for Graph Neural Networks (GNNs). Covers MessagePassing layers, modular aggregation schemes, and handling large graphs via mini-batching with disjoint graph representation. (pyg, messagepassing, gnn, gcn, gat, edge_index, knn_graph, global_mean_pool)
لغة النص الأصلي: الإنجليزية
PyTorch training opinions, pitfalls, and non-obvious patterns. Covers distributed training (DDP/FSDP), optimizer configuration, gradient accumulation, schedulers, and flash attention. Use when scaling training, debugging distributed setups, or making…
لغة النص الأصلي: الإنجليزية
Exporting PyTorch models to ONNX format for cross-platform deployment. Includes handling dynamic axes, graph optimization in ONNX Runtime, and INT8 model quantization. (onnx, onnxruntime, torch.onnx.export, dynamic_axes, constant-folding, edge-deployment)
لغة النص الأصلي: الإنجليزية