Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Use a checklist of Python anti-patterns during code review and before finalizing implementations. Supports debugging problems that stem from known bad practices.
Deploys Python application code to Azure App Service on Linux. Focuses on Flask, Django, and FastAPI deployments rather than containers, Functions, or full infrastructure provisioning.
Design asynchronous task processing, job queues, and long-running operations in Python. Covers workers and event-driven architecture for decoupling work from request/response cycles.
Provides Python best-practice guidance for reading or writing .py files, pyproject.toml, and requirements.txt.
Establish and review Python code conventions for new code and existing projects. Covers linter configuration, formatting, naming, and docstring standards.
Externalize application configuration using environment variables and typed settings. Covers pydantic-settings, secret management, and environment-specific behavior.
Apply separation of concerns, single responsibility, KISS, and composition over inheritance. Supports refactoring oversized components, choosing abstractions, reviewing coupling, and separating I/O from business logic to improve testability.
You are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hint
Implement input validation and exception strategies for robust Python APIs. Covers partial failures and error handling in batch processing.
Runs Python in a sandboxed inference.sh environment with preinstalled scientific, browser, image, video, and 3D libraries. Supports data processing, web scraping, PDF generation, API calls, and automation scripts.
Runs Python code through inference.sh in a sandbox with NumPy, Pandas, Matplotlib, browser automation tools, and many media libraries preinstalled. Supports data analysis, scraping, image and video processing, 3D processing, PDF generation, and API calls.
Runs Python with preinstalled libraries including NumPy, Pandas, Matplotlib, browser automation tools, and media-processing packages. Supports data analysis, web scraping, image and video work, 3D processing, PDF generation, and API integrations.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
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Read the skill, visit its source, and see exactly what you’re adding to your agent.
Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name