ML Ops
Machine learning operations
react-native-executorch
by software-mansion-labs
Integrate on-device AI into React Native apps using React Native ExecuTorch, which provides APIs for LLMs, computer vision, OCR, audio processing, and embeddings without cloud dependencies, as well as a variety of pre-exported models for common use cases. Use when user asks to build AI features into mobile apps - AI chatbots, image classification, object detection, style transfer, OCR, document parsing, speech processing, or semantic search - all running locally without cloud dependencies. Use when user mentions offline support, privacy, latency or cost concerns in AI-based applications.
research
by tavily-ai
"Comprehensive research grounded in web data with explicit citations. Use when you need multi-source synthesis—comparisons, current events, market analysis, detailed reports. "
videocut-install
by zrt-ai-lab
环境准备。安装依赖、下载模型、验证环境。触发词：安装、环境准备、初始化
image-gen-tool
by xuiltul
Image and 3D model generation tool using NovelAI, Flux, and Meshy for illustrations and 3D output. Use when: generating character art, bust or chibi images, avatars, or running image pipelines.
fable-mode
by mrtooher
Enforces staged execution discipline on large tasks: a written stage plan, delegation to named fable agents where the runtime supports it, a failable verification check at each stage, and a skeptical self-review before delivery. Trigger when the user explicitly asks ("do this thoroughly", "be systematic", "deep work mode") OR when the task objectively spans multiple files, multiple sources, or multiple sessions. Do NOT trigger on ordinary multi-step requests that a direct attempt handles fine. For a run pinned to a specific model, use fable-opus, fable-sonnet, or fable-haiku instead. Always-on guardrails (verify-before-flag, warning batching, sed safety) live in the companion execution-guardrails skill.
product-operating-model
by yannickYamo
Index of the Modern Product Operating Model — a collection of composable product skills. Use when user wants an overview of all product skills, doesn't know which specific skill they need, or wants to understand how the product systems connect.
ai-sdk-model-manager
by tambo-ai
Manages AI SDK model configurations - updates packages, identifies missing models, adds new models with research, and updates documentation
dreaming-development
by Signet-AI
"Use for Signet Dreaming development: inspect existing source, semantic-memory, retrieval, and inference architecture before changing it; prevent duplicate modules and ad-hoc providers."
type-inference
by biomejs
Guide for working with Biome's module graph and type inference system. Use when implementing type-aware lint rules or working on TypeScript support. Examples:<example>User needs to understand type resolution for a lint rule</example><example>User is working on the module graph infrastructure</example><example>User wants to implement type inference for a new feature</example>
saleor-django-migration
by saleor
Generate Django schema migrations for the Saleor codebase using manage.py makemigrations. Use when (1) a new Django model is created, (2) model fields are added/altered/removed, (3) user explicitly asks to create a migration. This skill covers ONLY synchronous schema migrations (CreateModel, AddField, AlterField, RemoveField, etc.) — NOT data migrations with RunPython or RunSQL. If unsure whether the migration is schema-only, ask the user.
multimodal-llm
by yonatangross
Vision, audio, and multimodal LLM integration patterns. Use when processing images, transcribing audio, generating speech, or building multimodal AI pipelines.
claude
by G1Joshi
Anthropic Claude AI models for analysis and coding. Use for AI assistants.
jupyter
by G1Joshi
Jupyter notebooks for interactive computing. Use for data exploration.
opencv
by G1Joshi
OpenCV computer vision library. Use for image processing.
keras
by G1Joshi
Keras high-level neural network API. Use for deep learning.
catboost
by G1Joshi
CatBoost gradient boosting with categoricals. Use for tabular ML.
stable-diffusion
by G1Joshi
Stable Diffusion image generation models. Use for image AI.
jax
by G1Joshi
JAX high-performance numerical computing. Use for ML research.
laravel-livewire
by fusengine
Livewire 3 reactive components - wire:model, actions, events, Volt, Folio. Use when building reactive UI without JavaScript.
ai-models
by alinaqi
Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate
mlops-pipelines
by Logos-Liber
Model deployment strategies, monitoring and drift detection, CI/CD for ML models, feature store concepts, and model versioning
ml-best-practices
by Logos-Liber
Model selection guidelines, feature engineering techniques, hyperparameter tuning strategies, evaluation metrics, and common ML frameworks
django-patterns
by rohitg00
Django architecture patterns including DRF, ORM optimization, signals, middleware, and project structure
adding-new-metadata
by apache
Guide on how to add and propagate new metadata fields in Apache Beam's WindowedValue, extending protos, windmill persistence, and runner interfaces to avoid metadata loss.