{
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  "name": "Vercel AI SDK 4.x Core, `streamText` & Multi-Step Tool Calling Skill",
  "tagline": "Build streaming, tool-calling AI agents in TypeScript using the Vercel AI SDK (`streamText`, `generateObject`, `maxSteps`, and provider-agnostic model rout",
  "description_md": "### Overview & Capability Scope\n**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/`).\n\nBuild streaming, tool-calling AI agents in TypeScript using the Vercel AI SDK (`streamText`, `generateObject`, `maxSteps`, and provider-agnostic model routing).\n\n### Required Stack & Tooling\n- **Primary Stack:** Vercel AI SDK, TypeScript, Streaming UI, Zod Schemas\n- **Category:** `engineering`\n- **Source & Reference:** [https://sdk.vercel.ai/docs](https://sdk.vercel.ai/docs)\n\n### Quickstart Installation\nInstall this `SKILL.md` playbook directly into your agent workspace:\n```bash\nnpx lightstate install skill-vercel-ai-sdk\n```\nOr 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`.\n\n### Verification Commands\n```bash\nnpm i ai @ai-sdk/openai @ai-sdk/anthropic\nnpx next build\n```\n",
  "primary_category": "engineering",
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  "tags_json": "[\"vercel-ai-sdk\", \"typescript\", \"streaming-ui\", \"zod-schemas\", \"skill-md\", \"engineering\"]",
  "compatible_agents_json": "[\"grok-bot\", \"claude-code\", \"cursor\"]",
  "integrations_json": "[\"Vercel AI SDK\", \"TypeScript\", \"Streaming UI\"]",
  "includes_json": "[]",
  "safety_level": "Read-Only / Ask-First",
  "safety_summary": "Verified capability blueprint by @vercel.",
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  "deep_link_uri": "",
  "mcp_endpoint": "",
  "mcp_transport": "http",
  "install_command": "npx lightstate install skill-vercel-ai-sdk",
  "skill_markdown": "---\nname: vercel-ai-sdk\ndescription: 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.\ntriggers:\n  - vercel ai sdk\n  - vercel ai sdk\n  - typescript\n---\n\n# Vercel AI SDK 4.x Core, `streamText` & Multi-Step Tool Calling Skill\n\n## 1. When to Use This Skill\nLoad `skill-vercel-ai-sdk` whenever an engineering or operations task involves **Vercel AI SDK, TypeScript, Streaming UI, Zod Schemas**. Specifically:\n- Build streaming, tool-calling AI agents in TypeScript using the Vercel AI SDK (`streamText`, `generateObject`, `maxSteps`, and provider-agnostic model routing).\n- Designing, reviewing, or debugging production configurations without guesswork or deprecated flags.\n- Running deterministic pre-flight and post-execution verification checks before reporting completion.\n\n## 2. Prerequisites & Required Environment\n- **Target Stack:** Vercel AI SDK, TypeScript, Streaming UI, Zod Schemas\n- **Permissions:** Read-only inspection by default; ask for explicit confirmation before executing destructive mutations or production deployments.\n- **Reference Repository:** `https://sdk.vercel.ai/docs`\n\n## 3. Step-by-Step Execution Playbook\n1. **Context & Configuration Discovery:**\n   Inspect existing project manifests (`package.json`, `wrangler.jsonc`, schema files, or environment declarations) before proposing changes. Never overwrite existing bindings or credentials blindly.\n2. **Deterministic Implementation:**\n   Apply the canonical patterns for **Vercel AI SDK**:\n   - Enforce strict schema/type validation at every external boundary.\n   - Include explicit error handling, structured logging, and idempotency keys on all mutating calls.\n   - Keep secrets in environment variables or secret stores—never hardcode tokens in source files.\n3. **Verification & Regression Gate:**\n   Run the verification commands below and inspect both exit codes and output payloads before marking the task complete.\n\n## 4. Reference Commands & CLI Workflow\n```bash\nnpm i ai @ai-sdk/openai @ai-sdk/anthropic\nnpx next build\n```\n\n## 5. Edge Cases & Anti-Hallucination Guardrails\n- **Zero Unverified Claims:** Never claim a deployment, migration, or API call succeeded without inspecting the command output or HTTP status code.\n- **Rollback Readiness:** Always record the previous state or migration version so changes can be reverted cleanly if downstream health checks fail.\n",
  "starter_prompt": "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.",
  "project_url": "https://sdk.vercel.ai/docs",
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  "created_at": "2026-10-24T20:00:00Z",
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  "primitive": "skill",
  "title": "Vercel AI SDK 4.x Core, `streamText` & Multi-Step Tool Calling Skill",
  "description": "Build streaming, tool-calling AI agents in TypeScript using the Vercel AI SDK (`streamText`, `generateObject`, `maxSteps`, and provider-agnostic model rout",
  "category": "engineering",
  "tags": "[\"vercel-ai-sdk\", \"typescript\", \"streaming-ui\", \"zod-schemas\", \"skill-md\", \"engineering\"]",
  "agent_compatibility": "[\"grok-bot\", \"claude-code\", \"cursor\"]",
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