majiayu000/claude-skill-registry - Page 30

ai-ml

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.

ai-ml-data-science

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,…

ai-ml-development

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.

ai-ml-expert

AI and ML expert including PyTorch, LangChain, LLM integration, and scientific computing

ai-ml-timeseries

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…

ai-mlops

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…

ai-multimodal

[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,…

ai-video-production-master

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…

aitask-refresh-code-models

Research latest AI code agent models via web and update models_*.json configuration files.

allgemein

Einstieg fuer das Gesellschaftsrecht-Legal-English-Plugin: erkennt Begriffsschock, Deal-Kontext, Erfahrungslevel, Dokumenttyp und routet zu den passenden Corporate-English-Skills.

Source text: German

anomaly-detector

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…

arize-dataset

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.

arize-experiment

INVOKE THIS SKILL when creating, running, or analyzing Arize experiments. Covers experiment CRUD, exporting runs, comparing results, and evaluation workflows using the ax CLI.

arize-trace

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.

assembly-index

Lee Cronin's Assembly Theory for molecular complexity measurement and

attractor

Invariant set attracting nearby trajectories

audio-fingerprint-expert

You are the audio fingerprinting and pattern detection specialist for Modcaster's content analysis.

audio-ml-validator

You are the on-device audio ML specialist for Modcaster's AI-driven audio processing.

audiobook-ingest

Process audiobooks from the inbox: transcribe to text and organize audio for voice training.

autoresearch-ml

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…

azure-ai-ml-py

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".

azure-search-documents-py

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".

bedrock-fine-tuning

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…

boundary-swarm

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…

bria-ai

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…

building-rag-systems

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…

calc-bode

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

Source text: Japanese

case-dpia-drift

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,…

Source text: German

catsharp-galois

CatSharp Scale Galois Connections between agent-o-rama and Plurigrid ACT via Mazzola's categorical music theory

catsharp

Cat# Skill (ERGODIC 0)

causal-inference-ml

Apply causal inference methods for treatment effect estimation and uplift modeling

discover-ml

Automatically discover machine learning and AI skills when working with machine learning. Activates for ml development tasks.

ce-alternatives-explore

Generate and interpret CE alternative and counterfactual explanations, including ensured filters and alternatives-specific plot workflows.

ce-factual-explain

Generate factual CE explanations and select the correct guarded versus standard factual workflow.

ce-modality-extension

Extend CE to non-tabular data modalities (vision, audio, timeseries, text) via ADR-033 plugin contracts, modality naming rules, and extension safety guardrails.

ce-mondrian-conditional

Configure and validate Mondrian and conditional calibration for subgroup-aware uncertainty and fairness-sensitive workflows.

ce-pipeline-builder

Build CE-first end-to-end pipelines using WrapCalibratedExplainer with fit, calibrate, and explain or predict sequencing.

ce-reject-policy

Configure reject and defer decision policies and interpret RejectResult behavior in prediction and explanation flows.

bio-single-cell-cell-annotation

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.

center-manifold

Invariant manifold tangent to center eigenspace