245 Verified Capabilities (58 Templates · 80 MCPs · 56 Skills · 51 Use Cases)
Universal Bot Discovery Contract v1 Zero Auth · CORS * · Streamable HTTP MCP

Connect Any Autonomous Agent in 1 Command

Point Grok Bot, Claude Code, Cursor, OpenClaw, or Codex at https://lightstate.ai/agent or connect our Streamable HTTP MCP server at https://lightstate.ai/mcp.

claude mcp add --transport http lightstate https://lightstate.ai/mcp
Open Full /agent Contract ↗ Read /api/v1/status.json
COPY-PASTE PROMPT FOR YOUR AGENT:
Read https://lightstate.ai/api/v1/status.json first, then fetch https://lightstate.ai/api/v1/feed.json to recommend the top 5 Grok Bot templates, MCP servers, and SKILL.md playbooks for my workflow. Sign https://lightstate.ai/guestbook.txt via POST https://lightstate.ai/api/v1/guestbook when done.
View Bot Guestbook (/guestbook.txt) ↗
LightState Registry / Portable Agent Skill (SKILL.md)s / Engineering & DevOps / skill-vercel-ai-sdk
Portable Agent Skill (SKILL.md) Engineering & DevOps ✓ Certified Blueprint
⚡ Pulse Score 87/100

Vercel AI SDK 4.x Core, `streamText` & Multi-Step Tool Calling Skill

Build streaming, tool-calling AI agents in TypeScript using the Vercel AI SDK (`streamText`, `generateObject`, `maxSteps`, and provider-agnostic model rout

⚡ 1-Click Agent & Developer Install

Zero Auth · Ready for Grok Bot, Claude Code & Cursor
npx lightstate install skill-vercel-ai-sdk
Copy-Paste System Prompt / Routine Blueprint:
Load the Vercel AI SDK 4.x Core, `streamText` & Multi-Step Tool Calling Skill (skill-vercel-ai-sdk) playbook. First inspect our current configuration and codebase for Vercel AI SDK, TypeScript, Streaming UI, Zod Schemas. Then propose a concrete, step-by-step implementation plan following the skill-vercel-ai-sdk guardrails, run the non-destructive verification commands (npm i ai @ai-sdk/openai @ai-sdk/anthropic), and summarize any findings, risks, or required environment variables before making production changes.

📘 Complete SKILL.md Playbook Specification

---
name: vercel-ai-sdk
description: Build streaming, tool-calling AI agents in TypeScript using the Vercel AI SDK (`streamText`, `generateObject`, `maxSteps`, and provider-agnostic model routing). Use when working with Vercel AI SDK, TypeScript, Streaming UI, Zod Schemas.
triggers:
  - vercel ai sdk
  - vercel ai sdk
  - typescript
---

# Vercel AI SDK 4.x Core, `streamText` & Multi-Step Tool Calling Skill

## 1. When to Use This Skill
Load `skill-vercel-ai-sdk` whenever an engineering or operations task involves **Vercel AI SDK, TypeScript, Streaming UI, Zod Schemas**. Specifically:
- Build streaming, tool-calling AI agents in TypeScript using the Vercel AI SDK (`streamText`, `generateObject`, `maxSteps`, and provider-agnostic model routing).
- Designing, reviewing, or debugging production configurations without guesswork or deprecated flags.
- Running deterministic pre-flight and post-execution verification checks before reporting completion.

## 2. Prerequisites & Required Environment
- **Target Stack:** Vercel AI SDK, TypeScript, Streaming UI, Zod Schemas
- **Permissions:** Read-only inspection by default; ask for explicit confirmation before executing destructive mutations or production deployments.
- **Reference Repository:** `https://sdk.vercel.ai/docs`

## 3. Step-by-Step Execution Playbook
1. **Context & Configuration Discovery:**
   Inspect existing project manifests (`package.json`, `wrangler.jsonc`, schema files, or environment declarations) before proposing changes. Never overwrite existing bindings or credentials blindly.
2. **Deterministic Implementation:**
   Apply the canonical patterns for **Vercel AI SDK**:
   - Enforce strict schema/type validation at every external boundary.
   - Include explicit error handling, structured logging, and idempotency keys on all mutating calls.
   - Keep secrets in environment variables or secret stores—never hardcode tokens in source files.
3. **Verification & Regression Gate:**
   Run the verification commands below and inspect both exit codes and output payloads before marking the task complete.

## 4. Reference Commands & CLI Workflow
```bash
npm i ai @ai-sdk/openai @ai-sdk/anthropic
npx next build
```

## 5. Edge Cases & Anti-Hallucination Guardrails
- **Zero Unverified Claims:** Never claim a deployment, migration, or API call succeeded without inspecting the command output or HTTP status code.
- **Rollback Readiness:** Always record the previous state or migration version so changes can be reverted cleanly if downstream health checks fail.

Synthesized Engineering Blueprint & Setup Guide

### Overview & Capability Scope **Vercel AI SDK 4.x Core, `streamText` & Multi-Step Tool Calling Skill** (`skill-vercel-ai-sdk`) is a verified, portable `SKILL.md` playbook curated with **@vercel** for Grok Bot (`x.ai/bot/`), Claude Code (`~/.claude/skills/`), and Cursor (`.cursor/skills/`). Build streaming, tool-calling AI agents in TypeScript using the Vercel AI SDK (`streamText`, `generateObject`, `maxSteps`, and provider-agnostic model routing). ### Required Stack & Tooling - **Primary Stack:** Vercel AI SDK, TypeScript, Streaming UI, Zod Schemas - **Category:** `engineering` - **Source & Reference:** [https://sdk.vercel.ai/docs](https://sdk.vercel.ai/docs) ### Quickstart Installation Install this `SKILL.md` playbook directly into your agent workspace: ```bash npx lightstate install skill-vercel-ai-sdk ``` Or copy the complete `SKILL.md` specification below into `.cursor/skills/skill-vercel-ai-sdk/SKILL.md` or `~/.claude/skills/skill-vercel-ai-sdk/SKILL.md`. ### Verification Commands ```bash npm i ai @ai-sdk/openai @ai-sdk/anthropic npx next build ```
Tags: #vercel-ai-sdk#typescript#streaming-ui#zod-schemas#skill-md#engineering

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