setup-artist
Set up the workspace for a new artist inside a sandbox. Creates the directory structure, context files, memory system, and placeholder content so agents can…
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-14 00:15
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Set up the workspace for a new artist inside a sandbox. Creates the directory structure, context files, memory system, and placeholder content so agents can…
Scaffold and run a label's self-managing "music-company OS" inside its own git repo — the full label-intelligence workspace (folders, a self-managing CLAUDE.md…
Run GitHub Actions CI locally with Agent CI to validate changes before pushing. Use when testing, running checks, or validating code changes.
Help users build robust infrastructure for measuring, monitoring, and iterating on AI product performance using human, code-based, and LLM-as-a-judge…
Help users build effective AI applications. Use when someone is building with LLMs, writing prompts, designing AI features, implementing RAG, creating agents,…
Help users evaluate new opportunities, manage professional identity shifts, and transition into roles that maximize both impact and personal fulfillment.
Help users build strong engineering culture. Use when someone is improving developer experience, fostering technical excellence, designing engineering…
Help users build relationships with journalists and get press coverage. Use when someone is pitching reporters, preparing for media outreach, trying to get…
Control the user own Chrome browser via Playwriter extension with Playwright code snippets in a stateful local js sandbox. Use this over other Playwright MCPs…
Guide for background coding agents running inside Replicas cloud workspaces
Compare Replicate models by cost, speed, quality, and capabilities.
Find AI models on Replicate using search and curated collections.
Run AI models on Replicate via predictions, webhooks, and streaming.
Use when building any system where email content triggers actions — AI agent inboxes, automated support handlers, email-to-task pipelines, or any workflow…
Use when a spec or plan needs review before execution begins - "review my spec", "is this plan ready to execute", "check this before I build it", "second…
Build an AI agent backend with persistent memory: one Rivet Actor per conversation, queued message handling, and streaming LLM responses as realtime events.
Give every AI agent its own computer: a persistent workspace with a filesystem, processes, shells, networking, and agent sessions on a lightweight in-process…
Build a realtime chat room backend with Rivet Actors: one actor per room, SQLite-backed message history, and WebSocket broadcast to every connected client.
Pragmatic patterns for building multiplayer games: matchmaking, tick loops, realtime state, interest management, and validation.
Actors: The primitive for agent orchestration.
agentOS: A computer for every agent.
Dynamic Apps: Deploy an AI-generated backend for every user.
RivetKit backend and Rivet Actor runtime guidance. Use for building, modifying, debugging, or testing Rivet Actors, registries, serverless/runner modes,…
RivetKit SwiftUI client guidance. Use for SwiftUI apps that connect to Rivet Actors with RivetKitSwiftUI, @Actor, rivetKit view modifiers, and SwiftUI bindings.