From vercel
Guides building durable AI agents and agent-powered applications using the eve framework. Useful for creating, editing, or debugging eve projects and choosing architecture for new agents.
How this skill is triggered — by the user, by Claude, or both
Slash command
/vercel:eveThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
eve is a filesystem-first framework for durable backend AI agents. An agent is
eve is a filesystem-first framework for durable backend AI agents. An agent is a directory on disk — instructions, skills, tools, connections, channels, subagents, and schedules are all files — and eve compiles and runs it.
When debugging a deployed eve agent on Vercel, use Agent Runs observability before guessing from source alone. Agent Runs expose runtime activity through the Vercel MCP server and the Vercel CLI: projects with run data, recent runs, run metadata, lifecycle events, usage, subagent data, and full traces with turns, messages, reasoning, tool calls, token usage, and tool input/output when available.
To inspect runs through Vercel MCP, list the available Vercel MCP tools and use the Agent Runs tools exposed by the server. Tool names and schemas can change, so inspect the tool list/schema before hard-coding a name from memory.
For CLI usage, ask the installed CLI for the current Agent Runs surface:
vercel agent-runs --help
vercel agent-runs <subcommand> --help
Use --json when the subcommand help exposes it and machine-readable output is
needed.
If vercel agent-runs is missing, check vercel --version and upgrade first:
npm i -g vercel@latest
vercel agent-runs --help
The complete documentation ships inside the eve package. Do not rely on this
skill for guidance — always read the bundled docs, which match the installed
version exactly:
node_modules/eve/docs/
Start with node_modules/eve/docs/README.md. It contains the full
index and recommended reading order. Before writing any eve code, read the
relevant guide there first.
If eve is not installed yet, install it (npm install eve) or scaffold a new
agent with npx eve init <agent-name>, then read the bundled docs.
claude plugin install vercel@claude-plugins-officialGuides step-by-step through building and deploying AI agents on GreenNode AgentBase, from scaffolding to deployment and testing.
Provides the full ADK agent development lifecycle: scaffold, build, evaluate, deploy, publish, and observe. Entry point for building and managing ADK agents on Google Cloud.
Guides developers to create new AgentCore agent projects on AWS: framework selection (Strands, LangGraph), project scaffolding, first deploy, and invocation. For beginners or 'agentcore create'.