83,201 skills sorted by stars.
Assist with model export helper operations. Auto-activating skill for ML Deployment. Triggers on: model export helper, m...
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...
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,...
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...
Manage model registry manager operations. Auto-activating skill for ML Deployment. Triggers on: model registry manager,...
Identifying, assessing, and mitigating risks associated with the use of machine learning models in business processes.
Choose model tier by task complexity. Keep routine work cheap. Escalate only when required.
Model selection strategy for subagents — haiku for exploration, sonnet for implementation, opus for architecture/securit...
Intelligent model selection - routes tasks to Haiku (fast/cheap), Sonnet (balanced), or Opus (complex/strategic) based o...
Automatically applies when choosing LLM models and providers. Ensures proper model comparison, provider selection, cost...
LLM and ML model deployment for inference. Use when serving models in production, building AI APIs, or optimizing infere...
Deploy and query Databricks Model Serving endpoints. Use when (1) deploying MLflow models or AI agents to endpoints, (2)...
Model serving is the process of deploying ML models to production and handling inference requests efficiently at scale.
Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server. Includes canary depl...
Code standards and templates for Django models, views, forms, templates, and URLs in this World of Darkness application....
Control model behavior through persistent edits and steering interventions. Use when modifying model outputs, applying s...
Secure the AI model supply chain with artifact signing, provenance attestation, SBOM workflows, dependency controls, and...
Switch the agent's model at runtime and restart. Use when the user asks to change models (e.g., "switch to kimi", "use o...
MANDATORY tracking protocol for multi-model validation. Creates structured tracking tables BEFORE launching models, trac...