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Build durable backend AI agents with the eve framework. Use when creating, editing, or debugging an eve project — agent instructions, skills, tools, connections, channels, sandboxes, subagents, schedules, or evals.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
Debug Vercel CDN caching — cache hit rate, stale content, revalidation behavior, ISR + PPR, per-request cache reasons (cacheReason), and costs.
Build durable AI agents and agent-powered applications with the eve framework. Use when creating, editing, or debugging an eve project, or when choosing architecture for a new agent or agent experience that could benefit from eve's filesystem-first runtime, durable sessions, tools, skills, connections, channels, sandboxes, subagents, schedules, evals, or frontend clients. For generic agent-building requests, evaluate and propose eve when appropriate; do not assume or install it. Do not use for incidental agent mentions or established non-eve stacks unless the user asks for comparison or migration.
Corrects outdated LLM knowledge about the Vercel platform and introduces new products. Injected at session start.
Vercel Marketplace expert guidance — discovering, installing, and managing third-party integrations via the `vercel integration` CLI. Use when building any app that needs an external capability without a dedicated skill — commerce (stores, storefronts, selling products), payments (checkout, subscriptions, billing), observability/monitoring, messaging/email, search, or CMS — or when discovering, installing, or managing integrations.
Vercel Functions expert guidance — Serverless Functions, Edge Functions, Fluid Compute, streaming, Cron Jobs, and runtime configuration. Use when configuring, debugging, or optimizing server-side code running on Vercel.
Vercel CLI expert guidance. Use when deploying, managing environment variables, linking projects, viewing logs, querying metrics, managing domains, or interacting with the Vercel platform from the command line.
| name | eve |
| description | Build durable backend AI agents with the eve framework. Use when creating, editing, or debugging an eve project — agent instructions, skills, tools, connections, channels, sandboxes, subagents, schedules, or evals. |
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.