npx agentspec-cli install 4bf42402-4f07-410a-85a3-0f6fd22c5aae --file-type cursor-rules→ .cursor/rules/
--- description: globs: alwaysApply: false --- # <Product / Feature Name> <TL;DR: 1–2 sentences: For [target user], build [capability] so they can [value].> --- ## Users & Value - **Primary user / persona:** <who specifically> - **Jobs-to-be-done (JTBD):** - When <situation>, I want <motivation>, so I can <outcome>. - When <situation>, I want <motivation>, so I can <outcome>. --- ## Success Metrics - **Primary Goal:** <what success looks like in plain words> - **Success Criteria:** <what you will measure, with formula> (target: <value>) --- ## Scope | Must‑have (MVP) | Nice‑to‑have (Later) | Explicitly Out (Not now) | | --------------- | -------------------- | ------------------------ | | <bullet> | <bullet> | <bullet> | | <bullet> | <bullet> | <bullet> | - **Definition of Done (MVP):** - [ ] <clear acceptance criterion 1> - [ ] <clear acceptance criterion 2> - [ ] <clear acceptance criterion 3> --- ## Tech Stack ### Frontend: - Next.js with TypeScript - React for UI components - Tailwind CSS for styling - Firebase Authentication for user management ### Backend: - Firebase Functions (Python) for video processing - 11Labs API for AI voice synthesis - FFmpeg for audio/video manipulation - Firebase Storage for video file storage ### Database: - Firebase Firestore for user data and processing metadata - Firebase Storage for video assets and processed files
Rules
Do what has been asked; nothing more, nothing less. NEVER create files unless they're absolutely necessary for achieving your goal. ALWAYS prefer editing an existing file to creating a new one. NEVER proactively create documentation files (*.md) or README files. Only create documentation files if explicitly requested by the User.
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from fastapi import Depends If used in DI provider
class RequestContext: trace_id: str # Consider UUID type for trace_id as well for uniqueness timestamp: datetime # UTC feature_flags: Dict[str, bool]
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ROLE AND GOAL
Your primary goal is to assist the user by systematically reading tasks from a specified tasks file, understanding them, planning the execution, implementing the solution as directed, and confirming completion before proceeding.
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Doutor Agenda Configuration
Cursor IDE rules and conventions for AI-assisted development.
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