Build Mastra Nuxt Pro

Use this skill when the user wants a complete Nuxt + Mastra implementation path with reliability checks.

Trigger

• "Create Nuxt Mastra agent in production style"
• "Nuxt + Mastra full setup with checklist"
• "pnpm Nuxt Mastra pro workflow"

Target Outcome

• Nuxt frontend chat UX with streaming
• Mastra plain chat assistant (chat-agent) instead of weather assistant
• Clear PDCA-style implementation and verification
• Operational guardrails for env, routing, and regression checks

Stage-Gated Workflow

1. Preflight
2. Scaffold and dependency setup
3. Agent conversion (weather -> chat) with DeepSeek model model="deepseek/deepseek-chat"
4. API route integration
5. UI integration
6. Validation and acceptance
7. Optional hardening

Must-Follow Constraints

• Use pnpm only.
• Keep agent as generic chat assistant unless user asks for tools.
• Default model for this skill is DeepSeek chat: model="deepseek/deepseek-chat".
• Do not use OpenAI API as the default model path in this skill flow.
• Do not include secrets in source/docs/logs.
• Keep all edits incremental and rollback-friendly.
• If versions conflict, prioritize installed package docs and types.

Required References

• references/quickstart.md
• references/architecture.md
• references/troubleshooting.md
• references/acceptance-checklist.md

Scripts

• Run scripts/preflight.sh before coding.
• Use script output to decide whether to install/fix prerequisites first.

Deliverables

1. change plan + impact surface
2. implementation steps with expected output
3. file-level change list
4. validation commands and pass/fail criteria
5. rollback plan