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Found 1,567 Skills
Detect common Python vulnerabilities such as SQL injection, unsafe deserialization, and hardcoded secrets. Use as part of a secure SDLC for Python projects.
Use when you need concrete UI/UX inputs (palette, typography, landing patterns, UX/a11y constraints) to drive design or review. Searchable UI/UX design intelligence (styles, palettes, typography, landing patterns, charts, UX/a11y guidelines + stack best practices) backed by CSV + a Python search script. Triggers: UIUX/uiux, UI/UX, UX design, UI design, design system, design spec, color palette, typography, layout, animation, accessibility/a11y, component styling. Actions: search, recommend, review, improve UI.
Plan and execute upgrades for Python libraries, handling breaking changes. Use when performing major version bumps for frameworks like Django or FastAPI.
Best practices for Matplotlib data visualization, plotting, and creating publication-quality figures in Python
Create high-quality ToolUniverse skills following test-driven, implementation-agnostic methodology. Integrates tools from ToolUniverse's 1,264+ tool library, creates missing tools when needed using devtu-create-tool, tests thoroughly, and produces skills with Python SDK + MCP support. Use when asked to create new ToolUniverse skills, build research workflows, or develop domain-specific analysis capabilities for biology, chemistry, or medicine.
Implements the Strategy pattern in Python backends. Run when the user mentions strategy pattern, or when you see or need a switch on type/method, multiple behaviors under the same contract, or interchangeable algorithms—apply this skill proactively without the user naming it.
Guide for using ruff, the extremely fast Python linter and formatter. Use this when linting, formatting, or fixing Python code to maintain code quality and consistency.
Azure Bot Service Management SDK for Python. Use for creating, managing, and configuring Azure Bot Service resources. Triggers: "azure-mgmt-botservice", "AzureBotService", "bot management", "conversational AI", "bot channels".
Write and evaluate effective Python tests using pytest. Use when writing tests, reviewing test code, debugging test failures, or improving test coverage. Covers test design, fixtures, parameterization, mocking, and async testing.
Build MCP servers in Python with FastMCP. Workflow: define tools and resources, build server, test locally, deploy to FastMCP Cloud or Docker. Use when creating MCP servers, exposing tools/resources/prompts to LLMs, building Claude integrations, or troubleshooting FastMCP module-level server, storage, lifespan, middleware, OAuth, or deployment errors.
Guidance on Python code style optimization and Pythonic idioms; Based on the complete content of *One Python Craftsman* and the "Friendly Python" concept, covering variable naming, control flow, data types, container types, function design, exception handling, decorators, file operations, and SOLID principles; Providing user-friendly and maintainer-friendly design patterns, review checklists, and over 140 practical templates
Create beautiful terminal output with Rich library including tables, progress bars, panels, and syntax highlighting. Use when building CLI applications or enhancing terminal output in Python.