Browse 138,453 skills across 70 categories. Mirrored from majiayu000/claude-skill-registry.
Identifying, measuring, and mitigating algorithmic bias to ensure equitable outcomes in AI systems.
Model Bias occurs when an AI system produces results that are systematically prejudiced against certain individuals or g...
Building MobX models with proper architecture, BaseModel patterns, Store usage, and validation
Model documentation skill for generating model cards following Google's model card framework.
When the user needs to evaluate multiple model checkpoints across various benchmarks to identify the best performing mod...
Model Checkpoint Manager - Auto-activating skill for ML Training. Triggers on: model checkpoint manager, model checkpoin...
Manage model checkpoint manager operations. Auto-activating skill for ML Training. Triggers on: model checkpoint manager...
Use when asked to compare multiple ML models, perform cross-validation, evaluate metrics, or select the best model for a...
Pruning, knowledge distillation, quantization-aware training, and edge deployment patterns for reducing model size and l...
AI model configuration patterns for this project. Single source of truth for model definitions. Triggers on "MODEL_CONFI...
Model Context Protocol (MCP) - Open standard for connecting AI applications to external data sources, tools, and systems...
Standards, conventions, and struct tag reference for models
Use this skill when coordinating multiple AI models (Claude, GPT, Gemini, DeepSeek) for competitive trading analysis, ru...
Design and build database schemas and data models in MotherDuck. Produces a file-based project scaffold. Use when creati...
Debug and diagnose model errors in Pollinations services. Analyze logs, find error patterns, identify affected users. Fo...
Deploy ML models with FastAPI, Docker, Kubernetes. Use for serving predictions, containerization, monitoring, drift dete...
This skill enables Claude to deploy machine learning models to production environments. It automates the deployment work...
Universal model detection and capability assessment for optimal cross-model compatibility
Model-Development standards for model development in Ml Ai environments.
MCMC diagnostics for Bayesian models including convergence assessment, effective sample size, divergences, and posterior...
Fetch current model names from AI providers (Anthropic, OpenAI, Gemini, Ollama), classify them into tiers (fast/default/...
Detect model drift detector operations. Auto-activating skill for ML Deployment. Triggers on: model drift detector, mode...
Model Drift Detector - Auto-activating skill for ML Deployment.Triggers on: model drift detector, model drift detectorPa...
Automatic model switching based on task complexity for OpenClaw agents. Dynamically escalates between Haiku (simple), So...
This skill focuses on comprehensive evaluation of machine learning models across the entire ML lifecycle. It covers metr...
Automated reproduction of comprehensive model evaluation benchmarks following the Benchmark Suite V3. Auto-activates for...
Skill from rysweet/AzureHayMaker
Model Evaluation Metrics - Auto-activating skill for ML Training. Triggers on: model evaluation metrics, model evaluatio...
Build model evaluation metrics operations. Auto-activating skill for ML Training. Triggers on: model evaluation metrics,...
Evaluate and compare ML model performance with rigorous testing methodologies
Comprehensive ML model evaluation with multiple metrics, cross-validation, and statistical testing. Activates for "evalu...
Managing ML experiments, metrics, parameters, and artifacts using MLflow, Weights & Biases, and best practices for repro...
Techniques and tools for understanding how machine learning models make decisions and explaining those decisions to stak...
Build model explainability tool operations. Auto-activating skill for ML Training. Triggers on: model explainability too...
Model interpretability and explainability using SHAP, LIME, feature importance, and partial dependence plots. Activates...
Model Export Helper - Auto-activating skill for ML Deployment. Triggers on: model export helper, model export helper Par...
Assist with model export helper operations. Auto-activating skill for ML Deployment. Triggers on: model export helper, m...
Guidance for extracting weight matrices from black-box ReLU neural networks using only input-output queries. This skill...
模型自动降级与故障切换。当主模型请求失败、超时、达到速率限制或配额耗尽时，自动切换到备用模型，确保服务连续性。支持多供应商、多优先级的智能模型选择，提供健康监控、自动重试和错误恢复机制。
Plutonium model features - has_cents, associations, scopes, and routing
Two-phase reasoning paradigm that reduces hallucinations and constraint violations in complex planning tasks. Use when t...
Apply Model-First Reasoning (MFR) to code generation tasks. Use when the user requests "model-first", "MFR", "formal mod...
Automatically repair code violations of temporal properties using model-checking counterexamples as guidance. Use when w...
Interpret ML model predictions using SHAP, LIME, attention visualization, and probing techniques. Use when explaining mo...
CLI commands to add, update, list, and deprecate AI models in the database. Triggers on "add model", "new model", "updat...
Test, validate, and add new AI models to the eval suite. Use when user asks to add new models, test model access, check...
Use when building any system that involves AI/model calls - integrates with brainstorming, planning, and TDD to ensure m...
Merge multiple fine-tuned models using mergekit to combine capabilities without retraining. Use when creating specialize...
Monitor model performance, detect data drift, concept drift, and anomalies in production using Prometheus, Grafana, and...
Comprehensive guide for ML model optimization techniques including quantization, pruning, knowledge distillation, and in...
Entity and model patterns with JSON serialization, immutability, and equality
Configure Claude Code to use alternative AI model providers by setting up custom API endpoints and authentication. Use t...
Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models...
Model Pruning Helper - Auto-activating skill for ML Deployment. Triggers on: model pruning helper, model pruning helper...
Model Pruning Helper - Auto-activating skill for ML Deployment.Triggers on: model pruning helper, model pruning helperPa...
Independent model QA expert who audits ML and statistical models end-to-end - from documentation review and data reconst...
Expert skill for AI model quantization and optimization. Covers 4-bit/8-bit quantization, GGUF conversion, memory optimi...
Model Quantization Tool - Auto-activating skill for ML Deployment. Triggers on: model quantization tool, model quantizat...
Build model quantization tool operations. Auto-activating skill for ML Deployment. Triggers on: model quantization tool,...
Model Quantization Tool - Auto-activating skill for ML Deployment.Triggers on: model quantization tool, model quantizati...
Building database queries with the Options API
Analyze chatmode or prompt files and recommend optimal AI models based on task complexity, required capabilities, and co...
Centralized management of machine learning models throughout their lifecycle, including versioning, metadata, and produc...
Centralized model versioning, staging, and lifecycle management. Activates for "model registry", "model versioning", "mo...
Guide for maintaining the MassGen model and backend registry. This skill should be used when adding new models, updating...
Manage model registry manager operations. Auto-activating skill for ML Deployment. Triggers on: model registry manager,...
Model Registry Manager - Auto-activating skill for ML Deployment.Triggers on: model registry manager, model registry man...
Use this skill when gathering requirements for new BigQuery data models OR when asked to edit existing queries in bqetl....
Research and configure new/custom AI models not yet in models.dev. Use when user mentions a new model release, asks to a...
Identifying, assessing, and mitigating risks associated with the use of machine learning models in business processes.