ML Ops
Machine learning operations
business-model-canvas
by ScientiaCapital
"Business model design using Alexander Osterwalder's 9 building blocks. Use when: business model, canvas, value proposition, customer segments, revenue streams, startup planning, analyze business, business strategy."
trading-signals
by ScientiaCapital
"Technical analysis patterns - Elliott Wave, Wyckoff, Fibonacci, Markov Regime, and Turtle Trading with confluence detection. Use when analyzing charts, identifying trading signals, or calculating technical levels."
runpod-deployment
by ScientiaCapital
"Deploy GPU workloads to RunPod serverless and pods - vLLM endpoints, A100/H100 setup, scale-to-zero, cost optimization. Use when: deploy to RunPod, GPU serverless, vLLM endpoint, scale to zero, A100 deployment, H100 setup, serverless handler, GPU cost optimization."
mlops-workflows
by manutej
Comprehensive MLOps workflows for the complete ML lifecycle - experiment tracking, model registry, deployment patterns, monitoring, A/B testing, and production best practices with MLflow
pal-mcp-server
by pacphi
AI orchestration and multi-model collaboration MCP server. Use when you need multi-model AI collaboration, code reviews, debugging assistance, planning, consensus building, or advanced reasoning across multiple AI providers (Gemini, OpenAI, Grok, Azure, Ollama, etc.).
Jupyter Notebooks
by pacphi
Comprehensive Jupyter notebook operations - create, execute, and analyze notebooks with full cell manipulation
q-educator
by TyrealQ
Course content development skill. Produces lecture outlines, demo outlines, student emails, assignment prompts, and per-group feedback using an interview-driven, projects-first teaching philosophy with domain-specific analogies. Use when developing or iterating on university course materials.
q-topic-finetuning
by TyrealQ
"Fine-tune and consolidate topic modeling outputs (BERTopic, LDA, etc.) into a theory-driven classification framework for academic manuscripts. Use when processing topic modeling results that need topic consolidation, theoretical classification, domain-specific preservation, multi-category handling, data verification, or Excel updates with final labels."
vscode-custom-agents
by aktsmm
"VS Code カスタムエージェントの配置ルール・アクセス制御・マルチエージェント設計のベストプラクティス。Triggers on 'custom agent', 'agent not found', 'subagent', 'user-invokable', 'エージェント設計', 'ピッカー'."
terradev-gpu-cloud
by theoddden
Cross-cloud GPU provisioning, K8s cluster creation, and inference overflow. Get real-time pricing across 11+ cloud providers, provision the cheapest GPUs in seconds, spin up production K8s clusters, and burst to cloud when your local GPU maxes out. BYOAPI — your keys never leave your machine.
active-inference-robotics
by plurigrid
"Second-order skill synthesizing Patrick Kenny's discrete active inference framework with K-Scale's JAX/MuJoCo robotics stack for predictive coding in robot locomotion"
aiconfig-update
by launchdarkly
Update, archive, and delete LaunchDarkly AI Configs and their variations. Use when you need to modify config properties, change model parameters, update instructions or messages, archive unused configs, or permanently remove them.
ask
by doodledood
Single-model consultation using consultant agent. Defaults to gpt-5.2-pro.
replicate-cli
by VladimirBrejcha
This skill provides comprehensive guidance for using the Replicate CLI to run AI models, create predictions, manage deployments, and fine-tune models. Use this skill when the user wants to interact with Replicate's AI model platform via command line, including running image generation models, language models, or any ML model hosted on Replicate. This skill should be used when users ask about running models on Replicate, creating predictions, managing deployments, fine-tuning models, or working with the Replicate API through the CLI.
skill-reviewer
by dashed
Review and ensure skills maintain high quality standards. Use when creating new skills, updating existing skills, or auditing skill quality. Checks for progressive disclosure, mental model shift, appropriate scope, and documentation clarity.
summarize
by smallnest
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
angular-forms
by analogjs
Build signal-based forms in Angular v21+ using the new Signal Forms API. Use for form creation with automatic two-way binding, schema-based validation, field state management, and dynamic forms. Triggers on form implementation, adding validation, creating multi-step forms, or building forms with conditional fields. Signal Forms are experimental but recommended for new Angular projects.
hubspot-revops-skill
by ScientiaCapital
Use when building revenue analytics on HubSpot â SQL warehouse queries,
openrouter-skill
by ScientiaCapital
"Orchestrate Chinese LLMs (DeepSeek, Qwen, Yi, Moonshot) through OpenRouter API with LangChain. Use when: openrouter, chinese llm, deepseek, qwen, moonshot, yi model, model routing, auto router, llm orchestration."
ai-engineer
by boisenoise
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations.
fal-serverless-guide
by JosiahSiegel
Complete fal.ai serverless deployment system. PROACTIVELY activate for: (1) Creating fal.App class, (2) GPU machine selection (T4/A10G/A100/H100), (3) setup() for model loading, (4) @fal.endpoint decorators, (5) Persistent volumes for weights, (6) Secrets management, (7) Scaling configuration (min/max concurrency), (8) Multi-GPU deployment, (9) fal deploy commands, (10) Local development with fal run. Provides: App structure, Dockerfile patterns, deployment commands, scaling config. Ensures production-ready serverless ML deployment.
fal-model-guide
by JosiahSiegel
Complete fal.ai model selection system. PROACTIVELY activate for: (1) Choosing image generation models (FLUX, SDXL), (2) Choosing video models (Kling, Sora, LTX), (3) Choosing audio models (Whisper, ElevenLabs), (4) Model quality vs speed comparison, (5) Cost optimization by model tier, (6) 3D generation models, (7) Model-specific parameters, (8) Development vs production model selection. Provides: Model comparison tables, decision trees, pricing tiers, performance benchmarks. Ensures optimal model selection for quality, speed, and cost.
adf-validation-rules
by JosiahSiegel
Comprehensive Azure Data Factory validation rules, activity nesting limitations, linked service requirements, and edge-case handling guidance
hotel-inventory-management
by kishorkukreja
When the user wants to optimize hotel room inventory, manage rate strategies, or improve revenue management. Also use when the user mentions "hotel revenue management," "room allocation," "yield management," "dynamic pricing," "overbooking optimization," "distribution channel management," or "hotel capacity planning." For tour operations, see tour-operations. For hospitality procurement, see hospitality-procurement.