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Found 1,863 Skills
Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API. Use when working with databricks-sdk, databricks-connect, or Databricks APIs.
Modern Python API development with FastAPI covering async patterns, Pydantic validation, dependency injection, and production deployment
Code refactoring expert for improving code quality, readability, maintainability, and performance. Specializes in Java and Python refactoring patterns, eliminating code smells, and applying clean code principles. Use when refactoring code, improving existing implementations, or cleaning up technical debt.
Validate Python code quality with formatting, type checking, linting, and security analysis. Use for Python codebases to ensure PEP 8 compliance, type safety, and code quality.
Expert-level Django development for robust Python web applications with ORM, admin, and authentication
Write Python docstrings following the Google Python Style Guide, using clear sections and examples.
Code Style Conventions. Use when writing, editing, or reviewing Python code. This includes conventions such as type hints, Decimal precision, docstrings, module organization, etc. Enforces type hints, Decimal precision, docstrings, and module organization.
Make and receive calls, transfer, bridge, and manage call lifecycle with Call Control. Includes application management and call events. This skill provides Python SDK examples.
Implements the Chain of Responsibility pattern in Python. Use when the user mentions chain of responsibility, CoR, or when you need to chain handlers that each process and pass to the next—validation pipelines, processing steps, transformation chains, or any sequential pipeline.
Retrieves MLflow traces using CLI or Python API. Use when the user asks to get a trace by ID, find traces, filter traces by status/tags/metadata/execution time, query traces, or debug failed traces. Triggers on "get trace", "search traces", "find failed traces", "filter traces by", "traces slower than", "query MLflow traces".
Set up GitHub Actions workflows for CI/CD with automated testing, linting, and deployment for Python/UV projects. Use when creating CI pipelines, automating tests, or setting up deployment workflows.
Wrap an existing Python agent as an Agent Stack service using agentstack-sdk server wrapper, without changing business logic.