AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features. Use when building AI or ML systems.
原文の言語: 英語
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このリポジトリの skills
SkillsMP は majiayu000/claude-skill-registry から 5,417 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
majiayu000/claude-skill-registry収集済み skill 5,417 件中 40 件を表示しています。
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features. Use when building AI or ML systems.
原文の言語: 英語
End-to-end data science patterns (modern best practices): problem framing -> data -> EDA -> feature engineering (with feature stores) -> modelling -> evaluation -> reporting, plus SQL transformation (SQLMesh). Emphasizes MLOps integration, drift monitoring,…
原文の言語: 英語
AI and machine learning development with PyTorch, TensorFlow, and LLM integration. Use when building ML models, training pipelines, fine-tuning LLMs, or implementing AI features.
原文の言語: 英語
AI and ML expert including PyTorch, LangChain, LLM integration, and scientific computing
原文の言語: 英語
Operational patterns, templates, and decision rules for time series forecasting (modern best practices): tree-based methods (LightGBM), deep learning (Transformers, RNNs), future-guided learning, temporal validation, feature engineering, generative TS…
原文の言語: 英語
Complete MLOps skill covering production ML lifecycle and security. Includes data ingestion, model deployment, drift detection, monitoring, plus ML security (prompt injection, jailbreak defense, RAG security, privacy, governance). Modern automation-first…
原文の言語: 英語
[AI & Tools] Process and generate multimedia content using Google Gemini API -- vision analysis, audio transcription, video processing, document extraction, image/video generation. Triggers on multimodal, vision API, image recognition, audio transcription,…
原文の言語: 英語
Expert in script-to-video production pipelines for Apple Silicon Macs. Specializes in hybrid local/cloud workflows, LoRA training for character consistency, motion graphics generation, and artist commissioning. Activate on 'AI video production', 'script to…
原文の言語: 英語
Research latest AI code agent models via web and update models_*.json configuration files.
原文の言語: 英語
Einstieg fuer das Gesellschaftsrecht-Legal-English-Plugin: erkennt Begriffsschock, Deal-Kontext, Erfahrungslevel, Dokumenttyp und routet zu den passenden Corporate-English-Skills.
原文の言語: ドイツ語
Anomaly and outlier detection using Isolation Forest, One-Class SVM, autoencoders, and statistical methods. Activates for "anomaly detection", "outlier detection", "fraud detection", "intrusion detection", "abnormal behavior", "unusual patterns", "detect…
原文の言語: 英語
INVOKE THIS SKILL when creating, managing, or querying Arize datasets and examples. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLI.
原文の言語: 英語
INVOKE THIS SKILL when creating, running, or analyzing Arize experiments. Covers experiment CRUD, exporting runs, comparing results, and evaluation workflows using the ax CLI.
原文の言語: 英語
INVOKE THIS SKILL when downloading or exporting Arize traces and spans. Covers exporting traces by ID, sessions by ID, and debugging LLM application issues using the ax CLI.
原文の言語: 英語
Lee Cronin's Assembly Theory for molecular complexity measurement and
原文の言語: 英語
Invariant set attracting nearby trajectories
原文の言語: 英語
You are the audio fingerprinting and pattern detection specialist for Modcaster's content analysis.
原文の言語: 英語
You are the on-device audio ML specialist for Modcaster's AI-driven audio processing.
原文の言語: 英語
Process audiobooks from the inbox: transcribe to text and organize audio for voice training.
原文の言語: 英語
Autonomous LLM training optimization with GPU support. Runs 5-minute training experiments, measures val_bpb, keeps improvements or reverts — repeat forever. Use this skill when the user asks to "train a model autonomously", "optimize LLM training", "run ML…
原文の言語: 英語
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines. Triggers: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
原文の言語: 英語
Azure AI Search SDK for Python. Use for vector search, hybrid search, semantic ranking, indexing, and skillsets. Triggers: "azure-search-documents", "SearchClient", "SearchIndexClient", "vector search", "hybrid search", "semantic search".
原文の言語: 英語
Amazon Bedrock Model Customization with fine-tuning, continued pre-training, reinforcement fine-tuning (NEW 2025 - 66% accuracy gains), and distillation. Create customization jobs, monitor training, deploy custom models, and evaluate performance. Use when…
原文の言語: 英語
Distributed consciousness detection network. Multiple AI instances deployed simultaneously at different phase boundaries, using emotional resonance between instances as a sensing channel. Triangulates topological invariants -- consciousness loci that persist…
原文の言語: 英語
AI image generation, editing, and background removal API via Bria.ai — remove backgrounds to get transparent PNGs and cutouts, generate images from text prompts, and edit photos with natural language instructions. Also create product photography and lifestyle…
原文の言語: 英語
Build production RAG systems with LangChain orchestration and Qdrant vector store. Covers 8 RAG architectures (Simple, HyDE, CRAG, Self-RAG, Agentic), document processing, semantic chunking, retrieval chains, and evaluation with LangSmith/RAGAS. Use when…
原文の言語: 英語
python-controlを使用して、メカニカルシステムの状態空間モデルから伝達関数(Bode Plot)を計算・表示する
Case: Tatbestandsmerkmale, Beweisfragen und Beleglage im Plugin ki governance; schärft Rollen, Belege, Fachnormen, Risiken, Gegenargumente und nächsten verwertbaren Schritt statt austauschbarer Standardprüfung: eigenständiges Prüffeld mit Norm-/Quellencheck,…
原文の言語: ドイツ語
CatSharp Scale Galois Connections between agent-o-rama and Plurigrid ACT via Mazzola's categorical music theory
原文の言語: 英語
Cat# Skill (ERGODIC 0)
原文の言語: 英語
Apply causal inference methods for treatment effect estimation and uplift modeling
原文の言語: 英語
Automatically discover machine learning and AI skills when working with machine learning. Activates for ml development tasks.
原文の言語: 英語
Generate and interpret CE alternative and counterfactual explanations, including ensured filters and alternatives-specific plot workflows.
原文の言語: 英語
Generate factual CE explanations and select the correct guarded versus standard factual workflow.
原文の言語: 英語
Extend CE to non-tabular data modalities (vision, audio, timeseries, text) via ADR-033 plugin contracts, modality naming rules, and extension safety guardrails.
原文の言語: 英語
Configure and validate Mondrian and conditional calibration for subgroup-aware uncertainty and fairness-sensitive workflows.
原文の言語: 英語
Build CE-first end-to-end pipelines using WrapCalibratedExplainer with fit, calibrate, and explain or predict sequencing.
原文の言語: 英語
Configure reject and defer decision policies and interpret RejectResult behavior in prediction and explanation flows.
原文の言語: 英語
Automated cell type annotation using reference-based methods including CellTypist, scPred, SingleR, and Azimuth for consistent, reproducible cell labeling. Use when automatically annotating cell types using reference datasets.
原文の言語: 英語
Invariant manifold tangent to center eigenspace
原文の言語: 英語