ML Ops
Machine learning operations
fuel-distribution
by kishorkukreja
When the user wants to optimize retail fuel distribution, manage gasoline and diesel delivery, or plan petroleum product logistics. Also use when the user mentions "gas station supply," "fuel delivery routing," "petroleum retail," "tank truck scheduling," "fuel terminal operations," "wholesale fuel distribution," or "retail fuel network." For upstream, see drilling-logistics. For midstream, see energy-logistics.
dispatch
by bassimeledath
"Dispatch background AI worker agents to execute tasks via checklist-based plans. Use when the user says 'dispatch' to delegate work to background agents, e.g. 'dispatch sonnet to review this', 'dispatch opus to fix the bug', 'dispatch a worker to research X'."
abductive-repl
by plurigrid
' Hypothesis-Test Loops via REPL for Exploratory Abductive Inference'
affective-taxis
by plurigrid
"Affective valence as directional derivative of interoceptive energy landscape (Sennesh & Ramstead 2025)"
assembly-line-balancing
by kishorkukreja
When the user wants to balance assembly lines, assign tasks to workstations, calculate takt time, or optimize line efficiency. Also use when the user mentions "line balancing," "workstation assignment," "takt time," "cycle time balancing," "precedence constraints," "task allocation," "assembly line optimization," "mixed-model balancing," or "U-shaped line." For process optimization, see process-optimization. For production scheduling, see production-scheduling.
python-peewee
by narumiruna
Patterns for using Peewee ORM with DatabaseProxy and scoped connections/transactions. Use when setting up DatabaseProxy, managing connection_context/atomic blocks, or writing tests with SQLite.
model-usage
by EthanAlgoX
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
openai-whisper
by EthanAlgoX
Local speech-to-text with the Whisper CLI (no API key).
openai-image-gen
by EthanAlgoX
Batch-generate images via OpenAI Images API. Random prompt sampler + index.html gallery.
sherpa-onnx-tts
by EthanAlgoX
Local text-to-speech via sherpa-onnx (offline, no cloud)
digital-twin-modeling
by kishorkukreja
When the user wants to build digital twins, simulate supply chain operations, or create virtual replicas for testing. Also use when the user mentions "digital twin," "simulation modeling," "discrete event simulation," "system simulation," "virtual supply chain," "what-if analysis," "scenario simulation," or "operational testing." For network optimization, see network-design. For forecasting, see demand-forecasting.
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.
economic-order-quantity
by kishorkukreja
When the user wants to calculate optimal order quantities, minimize total inventory costs using EOQ models, or determine the economic lot size. Also use when the user mentions "EOQ," "Wilson formula," "economic lot size," "order quantity optimization," "production batch size," "quantity discounts," "EPQ" (Economic Production Quantity), "backorder models," or "reorder point calculations." For multi-echelon systems, see multi-echelon-inventory. For stochastic models, see stochastic-inventory-models.
automotive-supply-chain
by kishorkukreja
When the user wants to optimize automotive manufacturing supply chains, manage tier suppliers, implement JIT production, or handle automotive-specific logistics. Also use when the user mentions "automotive manufacturing," "OEM supply chain," "tier 1/2/3 suppliers," "sequenced parts delivery," "just-in-time automotive," "vehicle assembly," or "automotive aftermarket." For general manufacturing, see production-scheduling. For lean principles, see lean-manufacturing.
constraint-programming
by kishorkukreja
When the user wants to solve complex scheduling, allocation, or combinatorial problems using constraint programming (CP). Also use when the user mentions "constraint programming," "CP-SAT," "constraint satisfaction," "all-different constraint," "global constraints," "propagation," "search strategies," or when the problem has complex logical constraints, scheduling with disjunctive resources, or allocation problems. For MIP, see optimization-modeling. For metaheuristics, see metaheuristic-optimization.
computer-vision-warehouse
by kishorkukreja
When the user wants to apply computer vision in warehouses, detect defects, track packages, count inventory, or automate visual inspection. Also use when the user mentions "computer vision," "image recognition," "object detection," "barcode reading," "package tracking," "quality inspection," "YOLO," "RCNN," "image classification," or "warehouse automation with vision." For general ML, see ml-supply-chain.
energy-logistics
by kishorkukreja
When the user wants to optimize energy supply chains, coordinate oil and gas logistics, or manage energy infrastructure. Also use when the user mentions "energy transportation," "pipeline management," "energy distribution," "oil and gas supply chain," "LNG logistics," "petroleum logistics," "energy asset management," or "energy infrastructure." For renewable energy, see renewable-energy-planning. For power grids, see power-grid-optimization.
deep-reading-analyst
by YYH211
"Comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models (SCQA, 5W2H, critical thinking, inversion, mental models, first principles, systems thinking, six thinking hats). Use when users want to: (1) deeply understand complex articles/content, (2) analyze arguments and identify logical flaws, (3) extract actionable insights from reading materials, (4) create study notes or learning summaries, (5) compare multiple sources, (6) transform knowledge into practical applications, or (7) apply specific thinking frameworks. Triggered by phrases like 'analyze this article,' 'help me understand,' 'deep dive into,' 'extract insights from,' 'use [framework name],' or when users provide URLs/long-form content for analysis."
summarize
by ZhihaoAIRobotic
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
tasks
by agenticnotetaking
View and manage the task stack and processing queue. Shows pending work, active tasks, completed items, and queue state. Triggers on "/tasks", "show tasks", "what's pending", "task list", "queue status".
pipeline
by agenticnotetaking
End-to-end source processing -- seed, reduce, process all claims through reflect/reweave/verify, archive. The full pipeline in one command. Triggers on "/pipeline", "/pipeline [file]", "process this end to end", "full pipeline".
ml-experiment-tracker
by organvm-iv-taxis
Guides ML experiment logging, versioning, and reproducibility using tools like MLflow, Weights & Biases, and DVC for systematic model development.
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
feature-pipeline
by notedit
Execute implementation tasks from design documents using markdown checkboxes. Use when (1) implementing features from feature-analyzer output, (2) resuming interrupted work, (3) batch executing tasks. Triggers on 'start implementation', 'run tasks', 'resume'.