# Guidewire Data Handling

> Data handling best practices for Guidewire InsuranceSuite including entity management, data migration, batch operations, and data governance. Trigger with phrases like "guidewire data", "entity management", "data migration", "batch processing", "data governance guidewire". Use when working with guidewire data handling.

- Skill: `micsapp/guidewire-data-handling` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add micsapp/guidewire-data-handling`
- Raw SKILL.md: https://api.skillmd.com/api/skills/micsapp/guidewire-data-handling/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: MIT
- Author: micsapp (https://skillmd.com/u/micsapp)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/micsapp/guidewire-data-handling

---

# Guidewire Data Handling

## Overview
Best practices for data handling in Guidewire InsuranceSuite including entity management, CRUD operations, data migration, batch processing, and data governance.

## Prerequisites
- Understanding of Guidewire data model
- Access to Guidewire documentation
- Familiarity with Gosu programming

## Instructions

### Step 1: Instructions
// Gosu entity management patterns
### Step 2: Data Handling Best Practices
Implement data handling best practices.

For detailed implementation code and configurations, load the reference guide:
`Read(${CLAUDE_SKILL_DIR}/references/implementation-guide.md)`

## Output
- Instructions
- Data Handling Best Practices

## Error Handling
| Issue | Solution |
|-------|----------|
| Configuration error | Check settings |

## Resources
- [Guidewire Data Model](https://docs.guidewire.com/cloud/)
- [Query API Documentation](https://docs.guidewire.com/cloud/pc/202503/apiref/)

## Next Steps
For role-based access control, see `guidewire-enterprise-rbac`.

## Examples

**Basic usage**: Apply guidewire data handling to a standard project setup with default configuration options.

**Advanced scenario**: Customize guidewire data handling for production environments with multiple constraints and team-specific requirements.