ML Ops
Machine learning operations
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.
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.
deepchem
by jimmc414
"Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML."
esm
by jimmc414
Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.
cobrapy
by jimmc414
"Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis."
aeon
by jimmc414
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
geniml
by jimmc414
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
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.
tlaplus-workbench
by younes-io
"Write and iteratively refine executable TLA+ specs (.tla) and TLC model configs (.cfg) from natural-language system designs; run TLC model checking; summarize pass/fail and counterexamples with explicit assumptions and bounds. Use when asked to: design/validate a state machine or distributed protocol with TLA+, create/edit .tla or .cfg files, run TLC, or interpret TLC failures/counterexamples."
groq-inference
by ScientiaCapital
"Fast LLM inference with Groq API - chat, vision, audio STT/TTS, tool use. Use when: groq, fast inference, low latency, whisper, PlayAI TTS, Llama, vision API, tool calling, voice agents, real-time AI."
cost-metering
by ScientiaCapital
"Track and manage API costs across sessions. Budget alerts, model routing for cost optimization, spend reports. Use when: cost check, budget status, how much spent, optimize costs, cost tracking."
agent-capability-matrix
by ScientiaCapital
"Map task types to the best agent, skill, model, and fallback. Route any task to the right tool. Use when: which agent, route task, agent for this, best agent, capability matrix."
ML Training Debugger - Diagnose and Fix Training Issues
by DNYoussef
Context Cascade - Nested Plugin Architecture for Claude Code Official Claude Code Plugin Version 3.1.0 Last updated: 2026-01-09 (see docs/COMPONENT-COUNTS.json for source counts) Context-saving nested architecture: Playbooks -> Skills -> Agents -> Commands. Load only what you need, saving 90%+ context space.
mlops-pipelines
by Logos-Liber
Model deployment strategies, monitoring and drift detection, CI/CD for ML models, feature store concepts, and model versioning
ml-best-practices
by Logos-Liber
Model selection guidelines, feature engineering techniques, hyperparameter tuning strategies, evaluation metrics, and common ML frameworks
livekit-agents
by livekit
'Build voice AI agents with LiveKit Cloud and the Agents SDK. Use when the user asks to "build a voice agent", "create a LiveKit agent", "add voice AI", "implement handoffs", "structure agent workflows", or is working with LiveKit Agents SDK. Provides opinionated guidance for the recommended path: LiveKit Cloud + LiveKit Inference. REQUIRES writing tests for all implementations.'
mlops
by williamzujkowski
MLOps engineering covering ML pipeline design, model versioning, experiment tracking, deployment strategies, drift detection, and monitoring for production ML systems with tools like MLflow, Kubeflow, and model registries
model-development
by williamzujkowski
Model-Development standards for model development in Ml Ai environments.
tooyoung:easy-openrouter
by shiqkuangsan
"Quickly test and compare LLM models via OpenRouter. Find the fastest/cheapest model, compare response quality. Trigger words: openrouter, test model, compare models, find fastest model, find cheapest model"
model-deployment
by williamzujkowski
Model-Deployment standards for model deployment in Ml Ai environments.
fairchem
by jkitchin
Expert guidance for Meta's FAIRChem library - machine learning methods for materials science and quantum chemistry using pretrained UMA models with ASE integration for fast, accurate predictions
gtm-metrics
by chadboyda
"When the user wants to define GTM metrics, build a metrics dashboard, measure pipeline efficiency, or track AI product performance. Also use when the user mentions 'GTM metrics,' 'revenue latency,' 'pipeline metrics,' 'TTFV,' 'time-to-first-value,' 'data health,' 'attribution,' 'conversion rate,' 'CAC,' 'LTV,' 'NRR,' 'GTM dashboard,' 'magic number,' 'pipeline velocity,' or 'funnel metrics.' This skill covers GTM measurement from metric selection through dashboard design, including AI-specific cost metrics, attribution models, and weekly review cadences."
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.
powerbi-semantic-model
by RuiRomano
Guide to develop Power BI Semantic Models. Use this skill when asked to connect to a semantic model for analysis or any development operation against a Power BI Semantic Model including (1) Creating new models or Direct Lake models, (2) Creating/editing measures using DAX, (3) Creating/editing tables and relationships, (4) Analyzing model best practices, (5) Deploying models to Fabric workspace, (6) Working with PBIP projects containing semantic models, (7) Troubleshooting DAX performance, (8) Refreshing semantic models in Desktop or Fabric service, (9) Create or edit TMDL code or TMDL files. Do NOT use for report layout/visual authoring (use powerbi-pbir), or workspace/pipeline administration (use fabric-cli).