ML Ops
Machine learning operations
rag
by sjtu-sai-agents
Retrieval-Augmented Generation (RAG) system for semantic search and knowledge retrieval. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases. Supports vector-based similarity search using FAISS and transformer embeddings.
checkpoint-resume
by 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.
stac-custom-extensions
by StacDev
Scaffold and integrate custom Stac widgets and actions with parsers and registration checks. Use when users ask to build new StacParser or StacActionParser implementations, generate custom model classes, or verify parser registration inside Stac.initialize.
BKUI 快速入门
by TencentBlueKing
蓝鲸前端知识库入口指南，包含规范、索引和工作流程
common-skills
by llama-farm
Best practices for the Common utilities package in LlamaFarm. Covers HuggingFace Hub integration, GGUF model management, and shared utilities.
runtime-skills
by llama-farm
Universal Runtime best practices for PyTorch inference, Transformers models, and FastAPI serving. Covers device management, model loading, memory optimization, and performance tuning.
realtime
by sailscastshq
WebSocket and realtime communication with sails-hook-sockets for Sails.js applications. Use this skill when building chat, notifications, live updates, presence tracking, or any feature that requires persistent bidirectional communication between server and client.
Oracle
by simota
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development-pipeline
by 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.
root-cause-analysis
by melodic-software
Problem solving using Fishbone (Ishikawa) diagrams and 5 Whys technique. Identifies root causes systematically and recommends corrective actions.
latest-software-version
by GoogleCloudPlatform
Real-time source of truth for software and model versions. Activate when adding dependencies, installing packages, or identifying Gemini model names. Bypasses internal knowledge cutoffs by querying live registries (NPM, PyPI, Go Proxy) and official documentation.
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.
Aether
by simota
AITuber（AI VTuber）システムの企画から実装・運用までを一貫支援するフルスタック・オーケストレーター。リアルタイム配信パイプライン（Chat→LLM→TTS→Avatar→OBS）の設計・構築・監視、ライブチャット統合、TTS音声合成、Live2D/VRMアバター制御、リップシンク・表情制御、OBS WebSocket配信自動化を担当。
image-generate
by bytedance
Generate images using Seedream models. Invoke when user wants to create images from text prompts or reference images.
sap-ai-core
by secondsky
Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP. Use when: deploying generative AI models (GPT, Claude, Gemini, Llama), building orchestration workflows with templating/filtering/grounding, implementing RAG with vector databases, managing ML training pipelines with Argo Workflows, configuring content filtering and data masking for PII protection, using the Generative AI Hub for prompt experimentation, or integrating AI capabilities into SAP applications. Covers service plans (Free/Standard/Extended), model providers (Azure OpenAI, AWS Bedrock, GCP Vertex AI, Mistral, IBM), orchestration modules, embeddings, tool calling, and structured outputs.
swiftui-view-refactor
by Dimillian
Refactor and review SwiftUI view files for consistent structure, dependency injection, and Observation usage. Use when asked to clean up a SwiftUI view’s layout/ordering, handle view models safely (non-optional when possible), or standardize how dependencies and @Observable state are initialized and passed.
ln-1000-pipeline-orchestrator
by levnikolaevich
"Meta-orchestrator (L0): reads kanban board, drives Stories through pipeline 300->310->400->500 in parallel via TeamCreate. Max 3 concurrent Stories. Auto squash-merge to develop on quality gate PASS."
video-generate
by bytedance
Generate videos using Seedance models. Invoke when user wants to create videos from text prompts, images, or reference materials.
local-llm-router
by hoodini
Route AI coding queries to local LLMs in air-gapped networks. Integrates Serena MCP for semantic code understanding. Use when working offline, with local models (Ollama, LM Studio, Jan, OpenWebUI), or in secure/closed environments. Triggers on local LLM, Ollama, LM Studio, Jan, air-gapped, offline AI, Serena, local inference, closed network, model routing, defense network, secure coding.
llamafile
by Jamie-BitFlight
When setting up local LLM inference without cloud APIs. When running GGUF models locally. When needing OpenAI-compatible API from a local model. When building offline/air-gapped AI tools. When troubleshooting local LLM server connections.
arboreto
by jimmc414
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
data-science
by travisjneuman
Data science and analytics expertise for statistical analysis, machine learning pipelines, data governance, business intelligence, predictive modeling, and analytics strategy. Use when building ML models, analyzing data, creating dashboards, or designing data architectures.
shipwright
by sailscastshq
Shipwright build system for The Boring JavaScript Stack — Rsbuild-based asset pipeline replacing Grunt, with framework plugins for React/Vue/Svelte, Tailwind CSS, SSR support, and dev server with HMR. Use this skill when configuring builds, managing assets, or debugging the development server.
payments
by sailscastshq
Payment and subscription patterns for The Boring JavaScript Stack — sails-pay hook with Lemon Squeezy, checkout flows, subscription management, webhooks, and customer portal. Use this skill when implementing billing, subscriptions, or payment processing in a Sails.js application.