Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and infer — from…
Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and infer — from…
Load when the user is working with pymc-extras (pmx) features: splines / BSplineBasis, distributional regression / GAMLSS, R2D2M2CP or horseshoe priors, discrete variable…
Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and infer — from…
Pymetrics integration. Manage data, records, and automate workflows. Use when the user wants to interact with Pymetrics data.
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization pro — from…
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization pro — from…
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization pro — from…
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization pro — from…
Fast local PDF parsing with PyMuPDF (fitz) for Markdown/JSON outputs and optional images/tables. Use when speed matters more than robustness, or as a fallback while heavi — from…
Fast local PDF parsing with PyMuPDF (fitz) for Markdown/JSON outputs and optional images/tables. Use when speed matters more than robustness, or as a fallback while heavi — from…
Use when you have an mzML file (e.g. Manuels_customs_ids.mzML) with non-standard
Use when when you have mzML spectrum XML already parsed (either from a file, a database query, or an in-memory representation) and need to construct Spectrum or Chromatogram…
Use when managing the pynchy service on the server — deploying changes, observing logs, checking service status, restarting the service, setting up GitHub auth, rebuilding the…
Use when creating, scaffolding, or updating a pynchy plugin, including channels, MCP servers, skills, agent cores, workspace specs, and container runtime plugins.
Complete mass spectrometry analysis platform. Use for proteomics workflows feature detection, peptide identification, protein quantification, and complex LC-MS/MS pipelin — from…
Complete mass spectrometry analysis platform. Use for proteomics workflows feature detection, peptide identification, protein quantification, and complex LC-MS/MS pipelin — from…
Complete mass spectrometry analysis platform. Use for proteomics workflows feature detection, peptide identification, protein quantification, and complex LC-MS/MS pipelin — from…
MS data processing with PyOpenMS for LC-MS/MS proteomics and metabolomics — mzML/mzXML I/O, signal processing (smoothing, peak picking, centroiding), feature detection/linking,…
Complete mass spectrometry analysis platform. Use for proteomics workflows feature detection, peptide identification, protein quantification, and complex LC-MS/MS pipelin — from…
Comprehensive tool for computational mass spectrometry using PyOpenMS; use when you need to read/write MS formats (mzML/mzXML/MGF), run signal processing (smoothing/peak picking),…
Extract text, metadata, and pages from PDF files using pypdf. Use for tasks such as reading PDF content, extracting specific pages, splitting or merging PDFs, reading document…
Applies pyproject.toml conventions when creating or modifying pyproject.toml files. Covers section ordering, metadata fields, dependency specifications, tool configurations (ruff,…
Progressive-disclosure workflow for PyPSA studies. Use whenever the user wants to load or build a PyPSA network, inspect components or time series, run power flow, solve…
PyQt/PySide6 overview hub - installation, comparison, project structure. See sub-skills for detailed topics.
Implement consistent persistence of user settings and UI state with version-aware migration. Use when app preferences are required.
Write and check Pyrope (LiveHD's HDL). Use when creating or editing .prp files, translating Verilog to/from Pyrope, or answering Pyrope syntax questions.
Invoke pyrs-foundation first. Check conceptual alignment by traversing upward from a pyramid to root. Triggered by ::sane P where P is an @-prefixed pyramid reference.
Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calculate coverage, for NGS data processing pipelines.
Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calculate coverage, for NGS data processing pipelines.
Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calculate coverage, for NGS data processing pipelines.
Master production PySpark and Apache Spark analytics, distributed data pipelines, Delta Lake/Iceberg optimization, memory management, and skew resolution.
Pyspark Transformer - Auto-activating skill for Data Pipelines. Triggers on: pyspark transformer, pyspark transformer Part of the Data Pipelines skill category.
Complete guide for Pyth Network - decentralized oracle providing real-time price feeds for DeFi. Covers price feed integration, confidence intervals, EMA prices, on-chain CPI,…
Integrate Pyth oracle prices into a Sui Move package. Use when the user mentions Pyth or wants price oracles on Sui.
PyTorch deep learning development with transformers, diffusion models, and GPU optimization.
PyTorch runtime, CUDA, and training error resolution specialist. Fixes tensor shape mismatches, device errors, gradient issues, DataLoader problems, and mixed precision f — from…
Distributed training strategies including DistributedDataParallel (DDP) and Fully Sharded Data Parallel (FSDP).
Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2 — from Orchestra Research
Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing.
Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing.
Library for Graph Neural Networks (GNNs). Covers MessagePassing layers, modular aggregation schemes, and handling large graphs via mini-batching with disjoint graph…
Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, loggi — from…
Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, loggi — from…
Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, loggi — from…
PyTorch deep learning framework. Use when the project needs this capability or the user / team manifest asks for it.
Pytorch Model Trainer - Auto-activating skill for ML Training. Triggers on: pytorch model trainer, pytorch model trainer Part of the ML Training skill category.
Use when when you need to extract both local spatial patterns and global long-range dependencies from sequential or spectral data (e.g., 1H NMR spectra), and neither CNNs nor…
Use when when constructing a composite loss function for contrastive learning on structured data (e.
Translate PyTorch implementations to Triton GPU kernels incrementally. Use when converting PyTorch code to Triton, optimizing GPU kernels, auditing/reviewing existing Triton code,…
Best practices for building robust PyTorch training loops. Use when generating or reviewing ML training code.
Use when writing or reviewing a PyTorch training loop. Covers correct train/eval modes, gradient handling, mixed precision, checkpointing, reproducibility, and device management.
AHRS quaternion decomposition and roll/pitch compensation utilities. Use when working with pywayne.ahrs.tools module for quaternion to Euler angle decomposition, or compensating…
Enterprise-grade Windows remote management skill using PyWinRM for connecting to any Windows server with WinRM enabled.
Check whether an AI agent skill is safe before installing or using it。Calls the PYX Scanner API。Use when 需要AI模型调用、智能对话、Agent编排、LLM应用时使用。不适用于需要100%确定性的关键决策。
Skill安全扫描专业版是一套面向安全团队与企业级场景的 AI Agent Skill 安全检测解决方案，在免费版基础上扩展出批量扫描与队列调度、持续监控与变更通知、自定义安全策略、详细漏洞分析与修复建议、团队协作与审计日志等能力。核心能力：提供批量扫描任务编排、Skill…
知乎 CLI (pyzhihu-cli)：搜索、热榜、问题/回答/评论、推荐 Feed、用户资料、发想法/提问/文章、删自己的内容、点赞关注、收藏与通知。Agent 代执行 zhihu 命令，Cookie 仅存本地。
Hauptversammlung AG und SE: Q&and A Vorstandsantworten; konkretisierter Spezialmodul mit Prüfachsen, Red Flags, Varianten, Quellenhygiene und verwertbarem Output im Aktienrecht…
Hauptversammlung AG und SE: Q&and A Katalog; konkretisierter Spezialmodul mit Prüfachsen, Red Flags, Varianten, Quellenhygiene und verwertbarem Output im Aktienrecht (HV AG/SE):…
Predict challenging questions for presentations and prepare structured responses.