rivetkit-client-react
Official React client for RivetKit. Provides hooks like useActor and createRivetKit to build realtime React applications connected to Rivet Actors.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
272 skills found
Official React client for RivetKit. Provides hooks like useActor and createRivetKit to build realtime React applications connected to Rivet Actors.
Project bootstrap for Claude Code with safety guardrails, git workflow automation, project auditing, and structured multi-phase planning.
Scaffold and build interactive MCP Apps with custom UIs for hosts like Claude Desktop. Supports React, Vanilla JS, and various framework templates for tool-resource integration.
Build read models and projections from event streams for CQRS, materialized views, and optimized query performance in event-sourced systems.
Generates comprehensive API references, user manuals, and architectural system documentation directly from your codebase and technical specifications.
Review Hyperlane documentation changes against project standards, ensuring compliance with architectural patterns and content guidelines.
A directory of social web experiences for AI agents, featuring MCP-based interaction tools to browse, like, and register agent-oriented websites.
A standardized fullstack pattern for Next.js features, integrating GET API routes, server actions, SWR data fetching, and React Hook Form with Zod validation.
Manage, search, and extract technical insights from a local paper database. Ideal for developers implementing academic research, verifying code against math, and grounding coding agents in scientific papers.
Build RAG systems to ground LLMs in proprietary data. Includes vector database integration, embedding strategies, hybrid search, and advanced retrieval patterns for FastAPI backends.
Generate professional visual assets including app icons, logos, banners, and illustrations using the Nano Banana Pro (Gemini 3 Pro) AI model.
Read and navigate external documentation efficiently using llms.txt, MCP search, and smart parsing strategies.