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SkillsMP hat 5.417 Skills aus majiayu000/claude-skill-registry gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
majiayu000/claude-skill-registryEs werden 40 von 5.417 gesammelten Skills angezeigt.
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_.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
oapply operad algebra evaluation via colimits with Specter-style composition patterns
Quellsprache: Englisch
Generate meta-proofs for occluded reasoning traces.
Quellsprache: Englisch
* **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
Quellsprache: Englisch
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）。
Quellsprache: Japanisch
Local speech-to-text with the Whisper CLI (no API key).
Quellsprache: Englisch
Conversão local de voz para texto com o Whisper CLI (sem necessidade de chave de API).
Quellsprache: Englisch
Local speech-to-text with the Whisper CLI (no API key).
Quellsprache: Englisch
Operad Composition Skill (PLUS +1)
Quellsprache: Englisch
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.
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…
Quellsprache: Englisch
Select and extract regions of interest (ROI) from whole slide images (WSI) for AI training data preparation and pathology research.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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…
Quellsprache: Englisch
Coordinate changes preserving dynamics
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
ML-based estimation patterns, confidence intervals, and predictive modeling. Reference this skill when forecasting costs or time.
Quellsprache: Englisch
Process and validate datasets for training. Use when setting up data pipelines.
Quellsprache: Englisch
Analyze construction site photos to track progress, detect safety issues, and compare against BIM models using computer vision.
Quellsprache: Englisch
Sussman/Radul propagator networks for constraint propagation and bidirectional
Quellsprache: Englisch
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…
Quellsprache: Englisch
Formal theorem proving with research, testing, and verification phases
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
Python for engineering analysis, numerical computing, and scientific workflows using NumPy, SciPy, SymPy
Quellsprache: Englisch
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,…
Quellsprache: Englisch
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:…
Quellsprache: Englisch
Comprehensive guide for deploying PyTorch models to production, covering export formats, optimization techniques, and deployment patterns.
Quellsprache: Englisch
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,…
Quellsprache: Englisch
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)
Quellsprache: Englisch
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…
Quellsprache: Englisch
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)
Quellsprache: Englisch