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SDK Persistente do Azure AI Agents para .NET. Um SDK de baixo nível para criar e gerenciar agentes de IA com threads, mensagens, execuções e ferramentas.

Analyze text and images for harmful content with customizable blocklists.

Guide for implementing and maintaining context as a managed artifact alongside code, enabling consistent AI interactions and team alignment through structured project documentation.

Psychological compatibility matching — find cofounders, collaborators, and friends through validated psychometrics

Use this skill when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Interactive StyleSeed setup wizard for choosing app type, brand color, visual style, typography, and the first screen scaffold.

Comprehensive performance optimization guide for React and Next.js applications, maintained by Vercel. Use when writing new React components or Next.js pages, implementing data fetching (client or server-side), or reviewing code for performance issues.

To build powerful frontend claude.ai artifacts, follow these steps:

Important: Before you begin, fill in the generatedBy property in the meta section of .actor/actor.json. Replace it with the tool and model you're currently using, such as \"Claude Code with Claude Sonnet 4.5\". This helps Apify monitor and improve AGENTS.md for specific AI tools and models.

Azure Container Registry SDK for Python. Use for managing container images, artifacts, and repositories.

SDK do Azure Blob Storage para Python. Use para carregar, baixar, listar blobs, gerenciar contêineres e o ciclo de vida de blobs.

Optimize Bazel builds for large-scale monorepos. Use when configuring Bazel, implementing remote execution, or optimizing build performance for enterprise codebases.