Running Python safely across data, web, and media tasks is difficult when environments differ. This skill runs code in a managed sandbox with common libraries and file outputs.

Integrate 150+ AI models into Python applications. The SDK provides simple APIs for running AI apps, building agents, handling async operations, and managing file uploads without complex setup.

Run Python scripts without local setup or dependency management. Access 100+ pre-installed libraries for data analysis, web scraping, image processing, and automation through a simple API call.

Building AI chat interfaces requires complex state management, streaming, and tool handling. This skill provides a ready-to-use agent component with all features built in.

Run 150+ AI applications including image generation, video creation, LLM calls, and web search directly from the command line without GPU setup.

Running AI models locally requires expensive GPU hardware. This skill provides seamless access to 150+ cloud AI models including image generation, video creation, LLMs, and web search through a simple CLI interface.

Vet helps AI coding assistants identify issues in their code changes by analyzing git diffs and conversation history. Run it immediately after any logical unit of code changes to catch misunderstandings between what was requested and what was implemented.

Ensure your web pages have correct, complete metadata for SEO and social sharing. Identifies violations, duplicates, and missing tags with specific fixes to improve search visibility and social card previews.

Code reviews help identify maintainability issues before they become technical debt. This skill provides AI assistants with systematic guidelines to evaluate code across seven key dimensions including naming, functions, duplication, and project conventions.

Writing custom linting rules and code transformations is complex and error-prone. This skill provides ready-to-use ast-grep YAML patterns for creating precise AST-based code search and rewrite rules.

Hooks enable event-driven automation in Claude Code plugins. Use hooks to validate tool calls, enforce completion standards, load project context, and integrate external tools into workflows. The skill covers both prompt-based hooks for intelligent decisions and command hooks for deterministic checks.

Developers need tools to build, test, and deploy Apple platform applications efficiently. This skill provides command-line workflows for Swift Package Manager, Xcode projects, simulator management, and code signing.

This skill provides expert guidance for PowerShell development including script templates, best practices for parameters and error handling, Windows Forms and WPF GUI creation patterns, and PowerShell Gallery integration for module management.

Automates iterative website development using Stitch MCP tools and a baton-passing loop pattern. Agents generate pages autonomously, maintain project context, and continue development through continuous improvement cycles.

Transform visual designs from Stitch into clean, modular React code with TypeScript and Tailwind CSS. Eliminate manual coding from design mockups with automated AST validation ensuring consistent code quality.

Legacy code becomes hard to maintain and extend. This skill applies proven refactoring techniques to improve structure and readability while preserving behavior.

Manually checking CI status, gathering review feedback, and pushing fixes is repetitive and time-consuming. This skill automates the entire feedback-fix-push-wait cycle so you can focus on writing code while the skill handles PR maintenance.

AI-generated code often includes excessive comments, defensive checks, and unnecessary patterns. This skill reviews git diffs against main and systematically removes code slop while preserving legitimate changes.

Code reviews often miss security vulnerabilities, performance issues, or design problems. This skill provides systematic guidelines to identify common issues across Python, Django, TypeScript, and React while maintaining constructive feedback.

Getting started with Convex backend development requires multiple setup steps including scaffolding, provider configuration, and environment setup. This skill automates the project setup process for new and existing applications.