rivet-dev/skills

10 agent skills in one repository, published by rivet-dev. One command installs the lot; each skill also has its own page below.

1. browseWriting code

   Use the browse CLI for Browserbase browser automation, Browserbase cloud APIs, Browserbase Functions, templates, web fetch/search, diagnostics, and Browse.sh skill discovery/installation. Use when the user asks to navigate pages, inspect browser state, run local or remote browser sessions, manage Browserbase resources, call Browserbase Functions, browse or scaffold Browserbase templates, fetch or search web content, diagnose browse setup, find or install a skill for a website task, discover site-specific Browse.sh skills, or install/refresh this browse skill.

2. rivet-actorsBuilding agents

   Actors: The primitive for agent orchestration.

3. rivet-agentosBuilding agents

   agentOS: A computer for every agent.

4. rivet-create-cluster

   Size and create a Rivet Cloud cluster for an app through the Rivet MCP server, from a recommendation the user approves. Use when asked to create, provision, or set up a Rivet cluster, or to pick its plan, region, or runner size.

5. rivet-deploy-image

   Deploy a Docker image to a Rivet Cloud cluster through the Rivet MCP server, or roll a cluster back to an earlier build. Use when asked to deploy, ship, release, or roll back an app on a Rivet cluster and a shell with Docker is available.

6. rivet-dynamic-appsDeploy & operate

   Dynamic Apps: Deploy an AI-generated backend for every user.

7. rivet-sandbox-agent

   Sandbox Agent: Run coding agents in sandboxes. Control them over HTTP..

8. rivet-secure-exec

   Secure Exec: Secure Node.js execution without a sandbox.

9. rivet-workflows

   Workflows: Durable, replayable multi-step operations.

10. sandbox-agent

    Deploy, configure, and integrate Sandbox Agent - a universal API for orchestrating AI coding agents (Claude Code, Codex, OpenCode, Amp) in sandboxed environments. Use when setting up sandbox-agent server locally or in cloud sandboxes (E2B, Daytona, Docker), creating and managing agent sessions via SDK or API, streaming agent events and handling human-in-the-loop interactions, building chat UIs for coding agents, or understanding the universal schema for agent responses.