smithery-ai-cli
Find, connect, and use over 100,000 MCP tools and skills via the Smithery CLI to integrate external services, manage agent workspaces, and automate workflows.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
213 skills found
Find, connect, and use over 100,000 MCP tools and skills via the Smithery CLI to integrate external services, manage agent workspaces, and automate workflows.
Build stateful AI agents on Cloudflare Workers using the Agents SDK. Features real-time WebSockets, persistent state management, scheduled background tasks, and native tool integration for production-ready deployments.
Standardized Rust documentation practices for the HASH codebase, ensuring consistency in doc comments, intra-doc links, and error handling.
A comprehensive guide and reference for building, orchestrating, and deploying AI agents using the Google Agent Development Kit (ADK).
Development and maintenance of the PWAFire library: build PWA API modules, handle feature detection, manage testing, and contribute to codebase following strict sync/async patterns and error handling requirements.
A project-specific architectural template for Next.js 15, FastAPI, and Supabase applications, including structured AI integration patterns.
Specialized skill for building Vue 3 applications with TypeScript, covering Composition API, Pinia state management, Vue Router, and custom composables.
Automates the end-to-end release process for R3BL workspace crates, including version bumping, changelog updates, testing, and publishing to crates.io.
Production-grade observability stack featuring Prometheus metrics, Grafana dashboarding, PromQL query language, alerting rules, and AI-powered anomaly detection for cloud-native applications.
Dynamic meta-router for managing and orchestrating multi-domain AI coding agent skills across plugins and projects.
Expert guidance for Django asynchronous task processing with Celery. Best practices for task design, worker configuration, error handling, periodic tasks, and production monitoring.
Perform rigorous code reviews for FastMCP projects, focusing on API design, dependency management, and codebase consistency.