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Found 1,748 Skills
pytest Python testing framework with fixtures. Use for Python testing.
FastAPI Python async framework with Pydantic and automatic OpenAPI. Use for Python APIs.
Create production-quality data visualizations including charts, dashboards, and infographics. Use when the user asks to visualize data, create charts, build dashboards, make infographics, plot statistics, or transform datasets into visual representations. Supports React/Recharts artifacts, static images (PNG/PDF via Python), and interactive HTML. Triggers include "visualize this data", "create a chart", "build a dashboard", "make a graph", "plot this", "infographic", or any request to represent data visually.
Reverse engineer web APIs by capturing browser traffic (HAR files) and generating production-ready Python API clients. Use when the user wants to create an API client for a website, automate web interactions, or understand undocumented APIs. Activate on tasks mentioning "reverse engineer", "API client", "HAR file", "capture traffic", or "automate website".
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.
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.
Python library for programmatic PDF generation and creation. Use when user wants to generate PDFs from scratch, create invoices, reports, certificates, labels, or custom documents with precise control over layout, fonts, graphics, tables, and charts. Supports both low-level drawing (Canvas) and high-level documents (Platypus).
Production-grade Docker containerization for Python and Node.js applications. This skill should be used when users ask to containerize applications, create Dockerfiles, dockerize projects, or set up Docker Compose. Auto-detects project structure, analyzes .env for secrets, validates security, and generates tested Dockerfiles.
AI-powered browser automation toolset, including agent-browser (accessibility tree extraction), actionbook (50+ website automation recipes), and browser-use (Python automation library). Use cases: (1) Scrape web content that requires JS rendering (2) Fetch data from platforms like X/Twitter, GitHub, Reddit, etc. (3) Take web page screenshots (4) Automate browser operations (5) Retrieve the accessibility tree structure of web pages. Use this skill when you need to access dynamic web pages, bypass anti-scraping measures, or perform browser automation.
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.
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".