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.
325 skills found
Official React client for RivetKit. Provides hooks like useActor and createRivetKit to build realtime React applications connected to Rivet Actors.
Foundational mental model and operational rules for using TraceMem to ensure secure, auditable, and compliant AI agent execution.
Official documentation skill for Shipany, an AI-powered SaaS boilerplate. Provides expert guidance on Next.js 15, Drizzle ORM, NextAuth, and payment integrations.
Optimize search engine visibility using technical SEO, meta tag configuration, structured data, and sitemap management. Improves crawlability and search ranking signals.
Master DP patterns with complete implementations for memoization, tabulation, and state design for production-ready solutions.
Manage project SSOT, memory, and cross-tool search. Guardian of decisions.md and patterns.md for Claude Code. Use for context retention, memory synchronization, and decision tracking.
Implement a full Model Context Protocol (MCP) stack in Rails. Connect to external servers, expose your Rails app as an MCP server, or manage subprocess MCP containers via Docker with OAuth 2.1 PKCE support.
Analyze and audit React projects for security, performance, correctness, and architecture issues with actionable diagnostics and scoring.
Expert guidance for configuring FeatBit observability via OpenTelemetry. Use for setting up metrics, logs, traces, and connecting OTEL backends like Seq, Jaeger, or Prometheus for FeatBit backend monitoring.
Persistent, semantic long-term memory for AI agents. Save, query, and retrieve cross-session dialogues, decisions, and multimodal context using semantic compression.
Safely execute, test, and verify commands discovered in documentation with real output capture, performance tracking, and git-aware safety protocols.
Manage screenpipe pipes (AI-driven automations) and integrations via CLI. Create, run, schedule, and debug local agents to automate tasks based on your computer activity.