MLOps
模型部署、评估与运维
computer-vision-opencv
Mindrally
Expert guidance for computer vision development using OpenCV, PyTorch, and modern deep learning techniques for image and video processing.
data-analysis-jupyter
Mindrally
Expert guidance for data analysis, visualization, and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
deep-learning
Mindrally
Comprehensive deep learning guidelines for neural network development, training, and optimization.
data-jupyter-python
Mindrally
Guidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
claude-capabilities
jezweb
Current Claude AI and Claude Code capabilities, features, and limits. Consult before making claims about what Claude can or cannot do, what features exist, model availability, pricing, or environment differences. Use when answering "can Claude do X?", comparing Claude AI vs Code, checking current model specs, or advising on which environment suits a task.
claude-capabilities
jezweb
Current Claude AI and Claude Code capabilities, features, and limits. Consult before making claims about what Claude can or cannot do, what features exist, model availability, pricing, or environment differences. Use when answering "can Claude do X?", comparing Claude AI vs Code, checking current model specs, or advising on which environment suits a task.
common-skills
llama-farm
Best practices for the Common utilities package in LlamaFarm. Covers HuggingFace Hub integration, GGUF model management, and shared utilities.
runtime-skills
llama-farm
Universal Runtime best practices for PyTorch inference, Transformers models, and FastAPI serving. Covers device management, model loading, memory optimization, and performance tuning.
sag
EthanAlgoX
ElevenLabs text-to-speech with mac-style say UX.
domain-layer
atopile
"Instructions for electronics-specific logic and build processes: netlists, PCBs, build steps, and exporters. Use when implementing or modifying build steps, exporters, PCB generation, or BOM/netlist output."
ai-engineer
tao12345666333
Expert knowledge in AI/ML development, model deployment, and MLOps practices
development-pipeline
popup-studio-ai
9-phase Development Pipeline complete knowledge. Use when user doesn't know development order or starts a new project from scratch. Use proactively when user asks about development order, phases, what to do first, or starts a new project without clear direction. Triggers: development pipeline, phase, development order, where to start, what to do first, how to begin, new project, 개발 파이프라인, 뭐부터, 어디서부터, 순서, 시작, 開発パイプライン, 何から, どこから, 开发流程, 从哪里开始, pipeline de desarrollo, fase, orden de desarrollo, por dónde empezar, qué hacer primero, pipeline de développement, phase, ordre de développement, par où commencer, que faire d'abord, Entwicklungspipeline, Phase, Entwicklungsreihenfolge, wo anfangen, was zuerst tun, pipeline di sviluppo, fase, ordine di sviluppo, da dove iniziare, cosa fare prima Do NOT use for: ongoing implementation, existing feature work, or bug fixes.
Cron Manager Skill
aAAaqwq
Telegram æ¨é: ~/clawd/skills/telegram-push/telegram-push.sh
surf
w-winter
Control Chrome browser via CLI for testing, automation, and debugging. Use when the user needs browser automation, screenshots, form filling, page inspection, network/CPU emulation, DevTools streaming, or AI queries via ChatGPT/Gemini/Perplexity/Grok/AI Studio.
django-patterns
rohitg00
Django architecture patterns including DRF, ORM optimization, signals, middleware, and project structure
opencode-config
serejaris
Use when configuring OpenCode CLI - changing default model, adding providers, setting baseURL, or troubleshooting model selection issues
Google ADK Python Skill
einverne
Remember: ADK treats agent development like traditional software engineering - use version control, write tests, and follow engineering best practices.
image-gen-tool
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.
gemini
softaworks
Use when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring large context windows. Uses Gemini 3 Pro by default for state-of-the-art reasoning and coding.
codex
softaworks
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.
feedback-mastery
softaworks
Navigate difficult conversations and deliver constructive feedback using structured frameworks. Covers the Preparation-Delivery-Follow-up model and Situation-Behavior-Impact (SBI) feedback technique. Use when preparing for difficult conversations, giving feedback, or managing conflicts.
multimodal-llm
yonatangross
Vision, audio, and multimodal LLM integration patterns. Use when processing images, transcribing audio, generating speech, or building multimodal AI pipelines.
checkpoint-resume
yonatangross
Rate-limit-resilient pipeline with checkpoint/resume for long multi-phase sessions. Saves progress to .claude/pipeline-state.json after each phase. Use when starting a complex multi-phase task that risks hitting rate limits, when resuming an interrupted session, or when orchestrating work spanning commits, GitHub issues, and large file changes.
llm-integration
yonatangross
LLM integration patterns for function calling, streaming responses, local inference with Ollama, and fine-tuning customization. Use when implementing tool use, SSE streaming, local model deployment, LoRA/QLoRA fine-tuning, or multi-provider LLM APIs.