Build Mastra Nuxt Basic

Use this skill when the user wants the smallest working Nuxt + Mastra chat assistant.

Scope

• Frontend framework: Nuxt
• Package manager: pnpm only
• Agent style: plain chat assistant
• Explicitly avoid default weather assistant workflow

Workflow (MVP)

1. Create Nuxt app (or reuse existing app).
2. Run pnpm dlx mastra@latest init.
3. Replace generated weather agent usage with chat-agent.
4. Configure the agent model as model="deepseek/deepseek-chat" (use DeepSeek, not OpenAI default).
5. Add Nuxt route server/api/chat.ts and wire agentId: 'chat-agent'.
6. Add chat UI in app/app.vue using AI SDK UI.
7. Run local verification (pnpm dev) and test send/receive chat.

Hard Constraints

• Must use pnpm.
• Must not keep weather-specific naming in final implementation (weather-agent, weather prompt, weather tool).
• Must use DeepSeek model for this skill's agent setup: model="deepseek/deepseek-chat".
• Must not default to OpenAI API in this skill flow.
• Keep changes minimal and rollback-friendly.
• Never put API keys in source code.

Execution Notes

• Load references/nuxt-mastra-chat-mvp.md before implementation.
• If Mastra output path differs from defaults, locate actual export path with:
  • rg "export const mastra" -n
• If APIs differ by version, prioritize installed package docs over memory.

Deliverable Format

• Provide:
  1. minimal changed files list
  2. run commands
  3. acceptance checks
  4. rollback note