MLOps
模型部署、评估与运维
openclaw-setup
Aznatkoiny
Set up, install, configure, and deploy OpenClaw (formerly ClawdBot/MoltBot) — a personal AI assistant that runs on your own devices and connects to messaging channels. Use when users ask to "set up OpenClaw," "install ClawdBot," "install MoltBot," "deploy a personal AI assistant," "configure OpenClaw on Mac," "deploy OpenClaw to VPS," "set up OpenClaw on Hostinger," "connect OpenClaw to Telegram," "configure iMessage with OpenClaw," or any variation involving OpenClaw installation, gateway configuration, channel setup, Anthropic auth, or security hardening. Also triggers on "openclaw onboard," "openclaw doctor," "openclaw security audit," troubleshooting OpenClaw deployments, OpenClaw security, OpenClaw cost control, or ClawHub skills safety.
external-research-implications
TinyAssets
Research an external project, repository, paper, article, or codebase and derive TinyAssets implications, plans, and integration slices. Use when the user points an agent at outside work and asks what we should learn, copy, avoid, integrate, or build from it.
cpp-reinforcement-learning
Aznatkoiny
C++ Reinforcement Learning best practices using libtorch (PyTorch C++ frontend) and modern C++17/20. Use when: - Implementing RL algorithms in C++ for performance-critical applications - Building production RL systems with libtorch - Creating replay buffers and experience storage - Optimizing RL training with GPU acceleration - Deploying RL models with ONNX Runtime
car-advisor
deusyu
实时汽车问答与对比分析系统。当用户询问任何买车、选车、汽车参数对比、车型评测、价格分析相关问题时触发此 Skill。 触发场景（只要涉及以下任一情形就必须使用此 Skill）： - 车型参数对比："小米SU7和Model 3哪个好"、"国产车和特斯拉对比" - 配置/价格查询："Model Y 焕新版座椅加热有吗"、"问界M9多少钱" - 真实车主评价："XX车口碑怎么样"、"懂车帝评分" - 购车决策辅助："20-30万预算推荐什么车"、"新能源SUV怎么选" - 车辆功能查询："这款车支持V2L吗"、"有没有露营模式" - 销量/市场数据："2024年最畅销新能源车" 即使用户没有明确说"帮我对比"或"查一下"，只要话题涉及具体车型的任何属性，都应该主动触发此 Skill 进行实时数据检索，而不是依赖训练数据回答。
tinyassets-status
TinyAssets
Show TinyAssets status from the hosted MCP server at tinyassets.io.
performance-scaling
bejranonda
Cross-model performance optimization and scaling configurations for autonomous agents
world-labs-text-prompt
CloudAI-X
Text-to-world generation best practices, prompt structure, style descriptors
buildkite
HJewkes
Buildkite CI/CD integration. Use when the user needs to check build status, trigger builds, read build logs, debug failures, manage pipelines, or any Buildkite workflow. Triggers include "buildkite", "build", "pipeline", "CI", "deploy", "build log", "build failed".
segment-anything-model
magnusthovsland
"SAM: zero-shot image segmentation via points, boxes, masks."
Google ADK Python Skill
mamba-mental
Remember: ADK treats agent development like traditional software engineering - use version control, write tests, and follow engineering best practices.
expert-routing
Harryoung
Domain expert routing. When the knowledge base cannot answer user questions, find and notify the corresponding expert based on the question domain. Only available in IM mode. Trigger condition: No results in 6-stage retrieval.
weights-and-biases
magnusthovsland
"W&B: log ML experiments, sweeps, model registry, dashboards."
jupyter-live-kernel
magnusthovsland
"Iterative Python via live Jupyter kernel (hamelnb)."
codex
nokonoko1203
"Delegate to Codex CLI for implementation, testing, review, or design consultation. Triggers: codex, ask codex, codex review, review this, second opinion"
transformers
itsmostafa
Loading and using pretrained models with Hugging Face Transformers. Use when working with pretrained models from the Hub, running inference with Pipeline API, fine-tuning models with Trainer, or handling text, vision, audio, and multimodal tasks.
Agentic Orchestration for Oracle Cloud
oci-ai-architects
Claude Code skills for OCI AI Architects. Community-led reference implementations and patterns.
outlines
L-yifan
Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local models (Transformers, vLLM), and maximize inference speed with Outlines - dottxt.ai's structured generation library
dspy
L-yifan
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
sentence-transformers
L-yifan
Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or similarity tasks. Best for production embedding generation.
openrouter
DimitriGilbert
Expert OpenRouter API assistant for AI agents. Use when making API calls to OpenRouter's unified API for 400+ AI models. Covers chat completions, streaming, tool calling, structured outputs, web search, embeddings, multimodal inputs, model selection, routing, and error handling.
frontend-razor
twofoldtech-dakota
Apply when working with Razor views, MVC layouts, partial views, and tag helpers
aptos-object-model
raintree-technology
Expert on Aptos Object Model for composable, transferable assets. Covers ObjectCore, Object<T> wrapper, ConstructorRef, ExtendRef, DeleteRef, TransferRef capabilities, object ownership, named vs generated objects, and composability patterns.
shelby
raintree-technology
Shelby Protocol expert for decentralized blob storage on Aptos blockchain. Covers erasure coding (Clay Codes), TypeScript SDK, smart contracts, CLI tools, storage providers, and dApp integration. High-performance storage for video streaming, AI training, and large datasets. Triggers on Shelby, Shelby Protocol, decentralized storage, Aptos storage, blob storage, ShelbyNodeClient, erasure coding, Clay Codes.
ai-ml-engineer
nahisaho
Copilot agent that assists with machine learning model development, training, evaluation, deployment, and MLOps Trigger terms: machine learning, ML, AI, model training, MLOps, model deployment, feature engineering, model evaluation, neural network, deep learning Use when: User requests involve ai ml engineer tasks.