DecisioNaut

Expert guidance for TM1py Python package for IBM Planning Analytics (TM1). Master connection management, data operations (MDX, views, DataFrames), metadata CRUD, performance optimization, and best practices. Use when working with TM1py, IBM Planning Analytics API, or when user mentions TM1, Planning Analytics, TM1 REST API, MDX queries, cube operations, dimension management, or Python TM1 development.

Expert guidance for dlt (data load tool), the Python library for building data pipelines. Create pipelines from REST APIs, SQL databases, cloud storage, and Python data structures to destinations like DuckDB, BigQuery, Snowflake, and Postgres. Covers rest_api_source, RESTClient, authentication, pagination, incremental loading, schema evolution, and pipeline deployment. Use when working with dlt, data pipelines, ETL, ELT, data loading, REST API integration, or when user mentions dlt, data load tool, pipeline creation, or data extraction.

Build specification-compliant Agent Skills from documentation sites, GitHub repos, and APIs. Systematically gather resources, design SKILL.md structure, validate naming rules, and package for sharing. Use when user mentions creating skills, building agent capabilities, SKILL.md files, agent skills format, or skill development.

Master complex Python project management with uv - an extremely fast Python package and project manager. Handle projects, scripts, tools, Python versions, workspaces, Docker integration, CI/CD, pip interface, dependency resolution, and advanced workflows. Use when working with uv, migrating from pip/poetry/pipenv, managing Python projects, or when users mention uv, uvx, pyproject.toml, uv.lock, virtual environments, or complex dependency management.

Expert guidance for Development Containers (devcontainers) in VS Code. Create, configure, and manage devcontainer.json files, use Templates and Features, integrate with Docker/Docker Compose, and troubleshoot common issues. Use when working with devcontainers, containerized development environments, or when user mentions devcontainer.json, dev containers, VS Code containers, or Docker development. Requires Docker (Docker Desktop on Mac/Windows or Docker CE/EE on Linux) and VS Code with Dev Containers extension.

Expert Python code review and refactoring following Arjan Egges' principles from ArjanCodes. Use when user asks to refactor Python code, review code quality, improve code design, apply SOLID principles, use design patterns, or mentions "Arjan", "ArjanCodes", "How would Arjan...", "Arjan's style", or similar. Covers clean code, type hints, dataclasses, dependency injection, testing, protocol-oriented design, and functional programming patterns.