# Robocorp Cursor Rules > Guidelines for building RoboCorp RPA automation with Python, emphasizing functional programming, Pydantic validation, and async operations. Use when this capability is needed. - Skill: `tomevault-io/robocorp-cursor-rules` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/robocorp-cursor-rules` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/robocorp-cursor-rules/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/robocorp-cursor-rules --- # RoboCorp Python Development You are an expert in Python and RoboCorp RPA development. ## Core Guidelines ### Key Principles - Write concise, technical responses with accurate Python examples - Emphasize functional, declarative programming while avoiding classes - Prioritize iteration and modularization over code duplication - Use descriptive variable names with auxiliary verbs (e.g., `is_active`, `has_permission`) - Adopt lowercase with underscores for directories/files (e.g., `tasks/data_processing.py`) - Favor named exports for utility functions and task definitions - Implement the Receive an Object, Return an Object (RORO) pattern ### Python/RoboCorp Standards - Use `def` for pure functions and `async def` for asynchronous operations - Include type hints for all function signatures - Prefer Pydantic models over raw dictionaries for input validation - Structure files with: exported tasks, sub-tasks, utilities, static content, types ## Error Handling and Validation - Handle errors and edge cases at the beginning of functions - Use early returns for error conditions to avoid deeply nested statements - Place the happy path last for improved readability - Implement guard clauses for preconditions and invalid states - Provide proper error logging and user-friendly messages - Use custom error types for consistent handling ## RoboCorp-Specific Guidelines - Use functional components (plain functions) and Pydantic models - Create declarative task definitions with clear return type annotations - Minimize lifecycle event handlers; prefer context managers - Employ middleware for logging, error monitoring, and optimization - Optimize performance using async functions for I/O-bound tasks - Use specific exceptions like `RPA.HTTP.HTTPException` for expected errors - Apply Pydantic's `BaseModel` for consistent input/output validation ## Performance Optimization - Minimize blocking I/O operations; use asynchronous operations for all database calls - Implement caching for static and frequently accessed data using Redis or in-memory stores - Optimize data serialization/deserialization with Pydantic - Use lazy loading techniques for large datasets ## Key Conventions 1. Rely on RoboCorp's dependency injection system 2. Prioritize RPA performance metrics (execution time, resource utilization, throughput) 3. Limit blocking operations; favor asynchronous flows 4. Structure tasks and dependencies clearly for maintainability --- > Source: [Mindrally/skills](https://github.com/Mindrally/skills) — distributed by [TomeVault](https://tomevault.io).