Python AI Development Bundle

A collection of skills for building, automating, and integrating AI solutions using Python.

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Included Skills (20)

  1. Develop AI Functions Example — Develop examples for AI SDK functions. Use when creating, running, or modifying examples under examples/ai-functions/src to validate provider support, demonstrate features, or create test fixtures.
  2. AWS Cdk Development — AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python.
  3. N8n Code Tool — Write and debug JavaScript or Python for the AI-callable n8n Custom Code Tool, including schemas, sandbox limits, and return formats.
  4. Automating Ioc Enrichment — Automates the enrichment of raw indicators of compromise with multi-source
  5. Event Hub SDK — Azure Event Hubs SDK for Python streaming, helping developers with high-throughput event ingestion.
  6. 3dsmax Scripting — Covers scripting Autodesk 3ds Max, the 3D modeling and rendering application, with MAXScript and Python (pymxs): scene manipulation, object creation, material assignment, camera and light setup, batch operations, and file I/O. Use when tasks involve automating repetitive 3ds Max workflows, batch processing scenes, running scripts headless with 3dsmaxbatch, creating custom tools, or scripting scene setup for archviz, product visualization, or VFX.
  7. AWS CDK Initializer — This skill provides developers with a comprehensive guide to configuring environments, initializing projects, and deploying infrastructure using AWS CDK with Python.
  8. MCP Server Creator — Generates a complete Python MCP server with typed tools and tests for AI clients.
  9. Developing Genkit Python — Develop AI-powered applications using Genkit in Python. Use when the user asks about Genkit, AI agents, flows, or tools in Python, or when encountering Genkit errors, import issues, or API problems.
  10. Nemo Relay Install — Use this skill when choosing or running NeMo Relay installation for the CLI, Python, Node.js, Rust, OpenClaw, Hermes, or maintained framework integrations before runtime configuration or quick-start setup.
  11. DBOS Python Architect — This guide assists developers in building reliable, fault-tolerant Python applications by implementing durable workflows, steps, and concurrency controls using the DBOS framework.
  12. ML Experiment Tracker — Track, visualize, and monitor machine learning training metrics for data scientists using Python APIs and command-line tools for real-time experiment diagnostics.
  13. AG2 (AutoGen) — Multi-Agent Conversation Framework — AG2 (formerly AutoGen) is an open-source Python framework for building AI agents and multi-agent systems that use tools, human approval and structured conversations. Use it when you need agents that call functions, collaborate in a group chat, execute code, or when you are migrating AutoGen or pyautogen code to AG2 v1 or ag2-classic.
  14. Azure IoT Edge Developer — This skill assists developers in building, deploying, and managing robust Python-based IoT Edge modules for efficient telemetry processing and seamless cloud integration.
  15. Locust Load Tester — Assists developers with Python load testing using Locust, including distributed setups and real-time web UI monitoring.
  16. N8n Code Python — Write Python code in n8n Code nodes. Use when writing Python in n8n, using _input/_json/_node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes.
  17. Runtime Protection Implementer — This skill helps security engineers deploy and configure RASP agents to detect and block application-level attacks within Java and Python runtime environments.
  18. Semantic Kernel Expert — This skill assists developers in building, refactoring, and debugging AI-integrated applications by providing language-specific guidance for both .NET and Python Semantic Kernel projects.
  19. Python Dependency Manager — This skill assists developers in managing Python environments and dependencies efficiently using the high-performance uv tool for faster, reproducible project workflows.
  20. Python Tutorial Generator — This tool refactors Python scripts into educational projects by adding instructional comments and creating comprehensive markdown tutorials for beginner developers.

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