Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
145 skills found
Build modular FastAPI applications using Clean Architecture, including domain-driven design, dependency injection, repository patterns, and testing strategies for scalable Python backend services.
PyTorch Lightning skill for scalable deep learning: automates model training, multi-GPU orchestration, data pipelines, and distributed training strategies like DDP, FSDP, and DeepSpeed.
Create, register, and manage custom agent tools and MCP servers to extend AI agent capabilities with external APIs and custom logic.
Design and document REST or GraphQL APIs, including endpoint definitions, pagination, filtering, versioning, and OpenAPI/Swagger specifications.
Meta-skill for building, managing, and hot-reloading AnimaWorks Python external tools, including dispatchers, credential management, and permissions.
Generate AGENTS.md and AI configuration files (Cursor, Claude, Gemini, Copilot) for your project to streamline your vibe-coding workflow and maintain context across sessions.
Guidance for Model Context Protocol (MCP) server development, including tool design, resource handling, and AI/ML integration patterns.
Implement robust Rust backend services using Axum, SQLx, and thiserror with production-grade patterns.
Query the Pollinations text API with web-search enabled models like Gemini and Perplexity for grounded, real-time research.
Comprehensive UI testing, visual fidelity analysis, and browser debugging using Chrome DevTools MCP and AI-driven vision models.
A macOS UI automation CLI that enables agents to capture screens, target UI elements, manage applications, and execute cross-app workflows with JSON-based scripting.
Expert guidance for Claude Messages API: structured outputs, prompt caching, tool use, and migration from deprecated Claude 3.x models to 4.5. Prevents common API errors.