ML Ops
Machine learning operations
MLOps Initialization
by fmind
Guide to initialize a new MLOps project with standard tools (uv, git, VS Code) and best practices.
MLOps Observability
by fmind
Guide to implement full stack observability including reproducibility, lineage, monitoring, alerting, and explainability.
MLOps Prototyping
by fmind
Guide to create structured, reproducible Jupyter notebooks for MLOps prototyping, emphasizing configuration management and pipeline integrity.
MLOps Validation
by fmind
Guide to implement rigorous validation layers including static analysis, automated testing, structured logging, and security scanning.
model-deployment
by williamzujkowski
Model-Deployment standards for model deployment in Ml Ai environments.
native-cli
by Quriosity-agent
Run QCut's native TypeScript pipeline CLI for AI content generation, video analysis, transcription, YAML pipelines, ViMax agentic video production, and project management. Also use for editor HTTP automation tasks (state snapshots, events, transactions, and notification bridge control) when user needs deterministic state-aware control.
computer-vision-opencv
by Mindrally
Expert guidance for computer vision development using OpenCV, PyTorch, and modern deep learning techniques for image and video processing.
summarize
by ZhihaoAIRobotic
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
aptos-object-model
by 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.
training-data-curation
by sundial-org
Guidelines for creating high-quality datasets for LLM post-training (SFT/DPO/RLHF). Use when preparing data for fine-tuning, evaluating data quality, or designing data collection strategies.
tinker
by sundial-org
Fine-tune LLMs using the Tinker API. Covers supervised fine-tuning, reinforcement learning, LoRA training, vision-language models, and both high-level Cookbook patterns and low-level API usage.
tinker-training-cost
by sundial-org
Calculate training costs for Tinker fine-tuning jobs. Use when estimating costs for Tinker LLM training, counting tokens in datasets, or comparing Tinker model training prices. Tokenizes datasets using the correct model tokenizer and provides accurate cost estimates.
building-team-culture
by liqiongyu
"Build or refresh a team culture and produce a Team Culture Operating System Pack (culture snapshot, culture code, norms, rituals, rollout + measurement plan). Use for team culture, culture code, team values, team norms, psychological safety, and coaching culture. Category: Hiring & Teams."
building-sales-team
by liqiongyu
"Build an early sales team and operating cadence (readiness gate, hiring plan, role scorecards, interview loop, onboarding/ramp). Use for first AE/SDR hires, seed→Series A sales team build, and product-led sales pilot. Category: Sales & GTM."
design-systems
by liqiongyu
"Build or evolve a design system by producing a Design System Operating Pack: charter, token model (incl. depth/elevation), component inventory + roadmap, blockframe-to-component mapping, documentation plan, and governance/adoption plan. Use for design systems, component libraries, design tokens, UI kits, and pattern libraries."
fundraising
by liqiongyu
"Plan and run an early-stage fundraising process and produce a Fundraising Pack (raise decision memo, round design brief, pitch narrative + deck outline, investor pipeline + tracker, outreach/follow-up scripts, diligence checklist). Use for fundraising, raising capital, venture capital, pitch deck, investor outreach, pre-seed, seed. Category: Career."
organizational-transformation
by liqiongyu
"Lead an organizational transformation toward a modern product operating model (not “framework adoption”). Produces an Organizational Transformation Pack (diagnostic, target operating model, pilot plan, roadmap, comms, governance). Use for org transformation, product operating model change, moving from feature teams to empowered product teams, and change management. Category: Leadership."
agent-builder
by shareAI-lab
Design and build AI agents for any domain. Use when users: (1) ask to "create an agent", "build an assistant", or "design an AI system" (2) want to understand agent architecture, agentic patterns, or autonomous AI (3) need help with capabilities, subagents, planning, or skill mechanisms (4) ask about Claude Code, Cursor, or similar agent internals (5) want to build agents for business, research, creative, or operational tasks Keywords: agent, assistant, autonomous, workflow, tool use, multi-step, orchestration
arkit-visionos-developer
by tomkrikorian
Build and debug ARKit features for visionOS, including ARKitSession setup, authorization, data providers (world tracking, plane detection, scene reconstruction, hand tracking), anchor processing, and RealityKit integration. Use when implementing ARKit workflows in immersive spaces or troubleshooting ARKit data access and provider behavior on visionOS.
spatial-swiftui-developer
by tomkrikorian
Design and implement visionOS SwiftUI scenes that integrate RealityKit content. Use when building spatial UI with RealityView, Model3D, attachments, volumetric windows, ImmersiveSpace, or spatial gestures, or when choosing SwiftUI vs RealityKit APIs for 3D presentation.
data-analysis-jupyter
by Mindrally
Expert guidance for data analysis, visualization, and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
pennylane
by unitarylab
PennyLane - A versatile quantum machine learning library that supports hybrid quantum-classical computations.
docker-2025-features
by JosiahSiegel
Latest Docker 2025 features including AI Assistant, Enhanced Container Isolation, and Moby 25
deep-learning-python
by Mindrally
Guidelines for deep learning development with PyTorch, Transformers, Diffusers, and Gradio for LLM and diffusion model work.