Manage ML model lifecycle from development to deployment with experiment tracking, versioning, monitoring, and automated retraining workflows.
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Use when creating or modifying dbt Semantic Layer components including semantic models, metrics, and dimensions leveraging MetricFlow.
Complete reference for integrating with 300+ AI models through the OpenRouter TypeScript SDK using the callModel pattern
google-ai-studio
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Enables Claude to use Google AI Studio for testing prompts, exploring models, and prototyping AI applications
Financial Analyst
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Analyze financial data, build models, evaluate investments, and provide data-driven financial recommendations
localization-l10n
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Implement localization (l10n) best practices to adapt applications for specific regions, languages, and cultural preferences.
the-vm-standard
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The VM Standard - inviolable covenants governing View Model architecture in this codebase. These covenants SHALL NOT be violated under any circumstance.
Generate comprehensive, maintainable unit tests across languages with strong coverage and edge case focus.
Generate comprehensive, maintainable unit tests across languages with strong coverage and edge case focus.
Generate comprehensive, maintainable unit tests across languages with strong coverage and edge case focus.
Generate comprehensive, maintainable unit tests across languages with strong coverage and edge case focus.
prompt-pro
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Senior Prompt Engineer & Agentic Orchestrator. Expert in Reasoning Models (o3), Tree-of-Thoughts, and Structured Thinking Protocols for 2026.
Investment Analyzer
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Analyze investment opportunities across asset classes with risk assessment, return modeling, and portfolio optimization
memrise
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Learn languages with Memrise spaced repetition and native speaker videos
speckit-specify
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Create or update feature specification from natural language feature description
quant-analyst
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Expert in quantitative finance, algorithmic trading, and financial data analysis using Python (Pandas/NumPy), statistical modeling, and machine learning.
coding-principles
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Language-agnostic coding principles for maintainability, readability, and quality. Use when implementing features, refactoring code, or reviewing code quality.
ml-pipeline
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Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, or managing experiment tracking systems.
ml-pipeline
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Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, or managing experiment tracking systems.
deepchem
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Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.