vercel-eve

Installation
SKILL.md

Vercel Eve

Eve is a filesystem-first framework for durable backend agents. Treat the agent/ directory as the application boundary and the deployment as a composition of independently replaceable HTTP, workflow, sandbox, model, credential, and observability layers.

Operating contract

  1. Start with the generated project structure. Put agent behavior in agent/instructions.md, runtime choices in agent/agent.ts, and one typed capability per file under its relevant directory.
  2. Keep authority outside the model prompt. Use typed tools, connections, sandbox boundaries, and route authentication instead of placing credentials or policy in instructions.
  3. Treat a durable session as a workflow, not an in-memory chat. Define persistence, idempotency, callback reachability, and recovery before relying on long-running or side-effecting work.
  4. On self-hosted deployments, replace every Vercel service deliberately. A Node process that starts is not evidence that workflow callbacks, persisted state, schedules, sandbox isolation, authentication, and telemetry work.
  5. Verify with a health request and a real authenticated session that exercises the workflow path. Never treat an HTTP 200 alone as a production readiness signal.

When not to use

Do not load this for the separate ai package’s ToolLoopAgent, WorkflowAgent, or HarnessAgent APIs. Do not use it for generic Next.js deployment without an Eve agent. For vendor-neutral workflow orchestration, use the relevant workflow or agent-framework skill instead.

When such a request appears, say that Eve does not apply and route to current AI SDK documentation or an AI SDK-specific skill. Do not write AI SDK API code, model configuration, or deployment guidance from this skill.

Project model

Installs
8
GitHub Stars
76
First Seen
Aug 5, 2026
vercel-eve — magnus919/agent-skills