bouclem

Architectural decision-making framework. Requirements analysis, trade-off evaluation, ADR documentation. Use when making architecture decisions or analyzing system design.

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Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

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Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.

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Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures.

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Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis.

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Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.

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Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots.

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SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.

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Scaffolds eval.yaml test files for agent skills in the dotnet/skills repository. Use when creating skill tests, writing evaluation scenarios, defining assertions and rubrics, or setting up test fixture files. Handles eval.yaml generation, fixture organization, and overfitting avoidance. Do not use for running or debugging existing tests nor for skills authoring.

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Statistics, probability, linear algebra, and mathematical foundations for data science

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Best practices for Matplotlib data visualization, plotting, and creating publication-quality figures in Python

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Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.

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Complete toolkit for senior architect with modern tools and best practices.

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Use before creative or constructive work (features, architecture, behavior). Transforms vague ideas into validated designs through disciplined reasoning and collaboration.

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MongoDB, Redis, Cassandra, DynamoDB, and distributed database patterns for scalable applications

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Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures.

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Creates VS Code custom agent files (.agent.md) for specialized AI personas with tools, instructions, and handoffs. Use when scaffolding new custom agents, configuring agent workflows, or setting up agent-to-agent handoffs.

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PostgreSQL database optimization workflow for query tuning, indexing strategies, performance analysis, and production database management.

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You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.

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Guide for quality focused software architecture. This skill should be used when users want to write code, design architecture, analyze code, in any case that relates to software development.

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Master proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable, testable, and scalable systems.

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Automate Supabase database queries, table management, project administration, storage, edge functions, and SQL execution via Rube MCP (Composio). Always search tools first for current schemas.

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Transform slow database queries into lightning-fast operations through systematic optimization, proper indexing, and query plan analysis.

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SQL query optimization, schema design, indexing strategies, and relational database mastery for production data systems

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