@mastra-ai

mastra covers agent and workflow construction, model selection, and error recovery with heavy emphasis on consulting current documentation due to rapid api evolution. treats outdated knowledge as a primary risk.

mastra-ai-tailwind-best-practices documents tailwind usage rules for the playground ui packages, but lacks procedural depth and concrete failure mode handling. references external rule files rather than embedding actionable steps.

tailwind-best-practices documents styling guidelines for mastra playground ui, prioritizing component reuse, design token consistency, and classname constraints across 5 rules.

react-best-practices catalogs 12 performance rules across bundle size, data fetching, and rendering patterns with priority rankings, but lacks executable procedures and agent-actionable triggers.

ralph-plan is a conversational planning assistant for building ralph-loop commands through iterative user collaboration, but lacks actionable procedures, specific trigger phrases, and any discussion of failure modes.

Guidelines for handling customer support interactions. Use when responding to user inquiries, troubleshooting issues, or escalating problems.

Guidelines for designing RESTful APIs and TypeScript interfaces. Use when designing new endpoints, reviewing API contracts, or structuring data models.

Create a Mastra project using create-mastra and smoke test the studio in Chrome using Chrome MCP server

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