---
name: guidewire-data-handling-fd068fb9a5b5
description: |
  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".
allowed-tools: Read, Write, Edit, Bash(curl:*), Bash(gradle:*), Grep
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
---

# 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

## Data Model Overview

```
┌─────────────────────────────────────────────────────────────────────────────────┐
│                        Guidewire Core Data Model                                 │
├─────────────────────────────────────────────────────────────────────────────────┤
│                                                                                  │
│  ┌───────────────────────────────────────────────────────────────────────────┐  │
│  │                            PolicyCenter                                    │  │
│  │  ┌─────────┐    ┌─────────┐    ┌─────────┐    ┌─────────┐               │  │
│  │  │ Account │───▶│  Policy │───▶│ Period  │───▶│Coverage │               │  │
│  │  │         │    │         │    │         │    │         │               │  │
│  │  │Contacts │    │ Jobs    │    │ Lines   │    │ Terms   │               │  │
│  │  └─────────┘    └─────────┘    └─────────┘    └─────────┘               │  │
│  └───────────────────────────────────────────────────────────────────────────┘  │
│                                                                                  │
│  ┌───────────────────────────────────────────────────────────────────────────┐  │
│  │                            ClaimCenter                                     │  │
│  │  ┌─────────┐    ┌─────────┐    ┌─────────┐    ┌─────────┐               │  │
│  │  │  Claim  │───▶│Exposure │───▶│ Reserve │───▶│ Payment │               │  │
│  │  │         │    │         │    │         │    │         │               │  │
│  │  │Incidents│    │Claimants│    │ Checks  │    │Recovery │               │  │
│  │  └─────────┘    └─────────┘    └─────────┘    └─────────┘               │  │
│  └───────────────────────────────────────────────────────────────────────────┘  │
│                                                                                  │
│  ┌───────────────────────────────────────────────────────────────────────────┐  │
│  │                           BillingCenter                                    │  │
│  │  ┌─────────┐    ┌─────────┐    ┌─────────┐    ┌─────────┐               │  │
│  │  │ Account │───▶│ Invoice │───▶│ Charge  │───▶│ Payment │               │  │
│  │  │         │    │         │    │         │    │         │               │  │
│  │  │ Policy  │    │  Items  │    │ Credits │    │Disbursement│            │  │
│  │  └─────────┘    └─────────┘    └─────────┘    └─────────┘               │  │
│  └───────────────────────────────────────────────────────────────────────────┘  │
│                                                                                  │
└─────────────────────────────────────────────────────────────────────────────────┘
```

## Instructions

### Step 1: Entity CRUD Operations

```gosu
// Gosu entity management patterns
package gw.data.entity

uses gw.api.database.Query
uses gw.api.util.Logger
uses gw.transaction.Transaction

class EntityManager {
  private static final var LOG = Logger.forCategory("EntityManager")

  // CREATE - Single entity
  static function createAccount(data : AccountData) : Account {
    return Transaction.runWithNewBundle(\bundle -> {
      var account = new Account(bundle)
      account.AccountNumber = generateAccountNumber()

      var contact = new Person(bundle)
      contact.FirstName = data.FirstName
      contact.LastName = data.LastName
      contact.DateOfBirth = data.DateOfBirth
      contact.EmailAddress1 = data.Email

      var address = new Address(bundle)
      address.AddressLine1 = data.AddressLine1
      address.City = data.City
      address.State = State.get(data.StateCode)
      address.PostalCode = data.PostalCode
      contact.PrimaryAddress = address

      account.AccountHolderContact = contact

      LOG.info("Created account: ${account.AccountNumber}")
      return account
    })
  }

  // READ - Single entity
  static function findAccountByNumber(accountNumber : String) : Account {
    return Query.make(Account)
      .compare(Account#AccountNumber, Equals, accountNumber)
      .select()
      .AtMostOneRow
  }

  // READ - Multiple entities with filtering
  static function findActiveAccountsByState(stateCode : String, limit : int = 100) : List<Account> {
    return Query.make(Account)
      .compare(Account#AccountStatus, Equals, AccountStatus.TC_ACTIVE)
      .join(Account#AccountHolderContact)
      .join(Contact#PrimaryAddress)
      .compare(Address#State, Equals, State.get(stateCode))
      .select()
      .orderBy(\a -> a.AccountNumber)
      .take(limit)
      .toList()
  }

  // UPDATE - Single entity
  static function updateAccount(accountNumber : String, data : AccountUpdateData) : Account {
    return Transaction.runWithNewBundle(\bundle -> {
      var account = findAccountByNumber(accountNumber)
      if (account == null) {
        throw new IllegalArgumentException("Account not found: ${accountNumber}")
      }

      account = bundle.add(account)

      if (data.Email != null) {
        account.AccountHolderContact.EmailAddress1 = data.Email
      }

      if (data.Phone != null) {
        account.AccountHolderContact.HomePhone = data.Phone
      }

      LOG.info("Updated account: ${accountNumber}")
      return account
    })
  }

  // DELETE - Single entity (soft delete)
  static function deactivateAccount(accountNumber : String) {
    Transaction.runWithNewBundle(\bundle -> {
      var account = findAccountByNumber(accountNumber)
      if (account == null) {
        throw new IllegalArgumentException("Account not found: ${accountNumber}")
      }

      account = bundle.add(account)
      account.AccountStatus = AccountStatus.TC_INACTIVE

      LOG.info("Deactivated account: ${accountNumber}")
    })
  }

  private static function generateAccountNumber() : String {
    return "ACC-${System.currentTimeMillis()}"
  }
}
```

### Step 2: Batch Data Operations

```gosu
// Batch processing patterns
package gw.data.batch

uses gw.api.database.Query
uses gw.api.util.Logger
uses gw.transaction.Transaction
uses java.util.concurrent.atomic.AtomicInteger

class BatchProcessor {
  private static final var LOG = Logger.forCategory("BatchProcessor")
  private static final var DEFAULT_BATCH_SIZE = 100

  // Process large datasets in batches
  static function processPolicies(processor(policy : Policy)) : BatchResult {
    var result = new BatchResult()
    var batchCount = new AtomicInteger(0)

    var query = Query.make(Policy)
      .compare(Policy#Status, Equals, PolicyStatus.TC_INFORCE)

    var iterator = query.select().iterator()
    var batch = new ArrayList<Policy>()

    while (iterator.hasNext()) {
      batch.add(iterator.next())

      if (batch.size() >= DEFAULT_BATCH_SIZE) {
        processBatch(batch, processor, result)
        batch.clear()
        batchCount.incrementAndGet()
        LOG.info("Processed batch ${batchCount.get()}")
      }
    }

    // Process remaining
    if (!batch.Empty) {
      processBatch(batch, processor, result)
    }

    LOG.info("Batch processing complete: ${result.Processed} processed, ${result.Failed} failed")
    return result
  }

  private static function processBatch(
    batch : List<Policy>,
    processor(policy : Policy),
    result : BatchResult
  ) {
    Transaction.runWithNewBundle(\bundle -> {
      batch.each(\policy -> {
        try {
          var p = bundle.add(policy)
          processor(p)
          result.incrementProcessed()
        } catch (e : Exception) {
          LOG.error("Failed to process policy ${policy.PolicyNumber}", e)
          result.addError(policy.PolicyNumber, e.Message)
          result.incrementFailed()
        }
      })
    })
  }

  // Parallel batch processing
  static function processParallel<T>(
    items : List<T>,
    processor(item : T),
    threadCount : int = 4
  ) : BatchResult {
    var result = new BatchResult()
    var executor = java.util.concurrent.Executors.newFixedThreadPool(threadCount)

    try {
      var futures = items.partition(DEFAULT_BATCH_SIZE).map(\batch -> {
        executor.submit(\-> {
          Transaction.runWithNewBundle(\bundle -> {
            batch.each(\item -> {
              try {
                processor(item)
                result.incrementProcessed()
              } catch (e : Exception) {
                LOG.error("Processing failed", e)
                result.incrementFailed()
              }
            })
          })
        })
      })

      // Wait for completion
      futures.each(\f -> f.get())
    } finally {
      executor.shutdown()
    }

    return result
  }
}

class BatchResult {
  private var _processed : AtomicInteger = new AtomicInteger(0)
  private var _failed : AtomicInteger = new AtomicInteger(0)
  private var _errors = new java.util.concurrent.ConcurrentHashMap<String, String>()

  property get Processed() : int { return _processed.get() }
  property get Failed() : int { return _failed.get() }
  property get Errors() : Map<String, String> { return _errors }

  function incrementProcessed() { _processed.incrementAndGet() }
  function incrementFailed() { _failed.incrementAndGet() }
  function addError(key : String, message : String) { _errors.put(key, message) }
}
```

### Step 3: Data Migration

```typescript
// API-based data migration
interface MigrationConfig {
  sourceSystem: string;
  targetEnvironment: string;
  batchSize: number;
  dryRun: boolean;
}

interface MigrationResult {
  totalRecords: number;
  successCount: number;
  errorCount: number;
  errors: Array<{ id: string; error: string }>;
  duration: number;
}

class DataMigration {
  private config: MigrationConfig;
  private guidewireClient: GuidewireClient;

  constructor(config: MigrationConfig) {
    this.config = config;
    this.guidewireClient = new GuidewireClient(config.targetEnvironment);
  }

  async migrateAccounts(sourceAccounts: SourceAccount[]): Promise<MigrationResult> {
    const startTime = Date.now();
    const result: MigrationResult = {
      totalRecords: sourceAccounts.length,
      successCount: 0,
      errorCount: 0,
      errors: [],
      duration: 0
    };

    console.log(`Starting migration of ${sourceAccounts.length} accounts`);

    // Process in batches
    for (let i = 0; i < sourceAccounts.length; i += this.config.batchSize) {
      const batch = sourceAccounts.slice(i, i + this.config.batchSize);
      console.log(`Processing batch ${Math.floor(i / this.config.batchSize) + 1}`);

      await Promise.all(batch.map(async (sourceAccount) => {
        try {
          const gwAccount = this.transformAccount(sourceAccount);

          if (!this.config.dryRun) {
            await this.guidewireClient.createAccount(gwAccount);
          }

          result.successCount++;
        } catch (error) {
          result.errorCount++;
          result.errors.push({
            id: sourceAccount.id,
            error: error instanceof Error ? error.message : 'Unknown error'
          });
        }
      }));

      // Rate limiting pause between batches
      await sleep(1000);
    }

    result.duration = Date.now() - startTime;
    console.log(`Migration complete: ${result.successCount} succeeded, ${result.errorCount} failed`);

    return result;
  }

  private transformAccount(source: SourceAccount): GuidewireAccount {
    return {
      accountHolder: {
        contactSubtype: source.isCompany ? 'Company' : 'Person',
        firstName: source.firstName,
        lastName: source.lastName,
        companyName: source.companyName,
        primaryAddress: {
          addressLine1: source.address.line1,
          addressLine2: source.address.line2,
          city: source.address.city,
          state: { code: this.mapStateCode(source.address.state) },
          postalCode: source.address.zip,
          country: { code: 'US' }
        },
        emailAddress1: source.email,
        homePhone: source.phone
      },
      producerCodes: [{ id: this.mapProducerCode(source.agentCode) }]
    };
  }

  private mapStateCode(sourceState: string): string {
    // Map source system state codes to Guidewire codes
    const stateMap: Record<string, string> = {
      'California': 'CA',
      'CA': 'CA',
      // Add more mappings
    };
    return stateMap[sourceState] || sourceState;
  }
}
```

### Step 4: Data Validation

```gosu
// Data validation framework
package gw.data.validation

uses gw.api.util.Logger

class DataValidator {
  private static final var LOG = Logger.forCategory("DataValidator")

  // Validate account data
  static function validateAccount(account : Account) : ValidationResult {
    var result = new ValidationResult()

    // Required fields
    if (account.AccountHolderContact == null) {
      result.addError("AccountHolderContact", "Account holder contact is required")
    }

    if (account.AccountNumber == null || account.AccountNumber.Empty) {
      result.addError("AccountNumber", "Account number is required")
    }

    // Contact validation
    if (account.AccountHolderContact != null) {
      var contact = account.AccountHolderContact
      if (contact typeis Person) {
        if (contact.FirstName == null || contact.FirstName.Empty) {
          result.addError("FirstName", "First name is required for person")
        }
        if (contact.LastName == null || contact.LastName.Empty) {
          result.addError("LastName", "Last name is required for person")
        }
      } else if (contact typeis Company) {
        if (contact.Name == null || contact.Name.Empty) {
          result.addError("CompanyName", "Company name is required")
        }
      }

      // Address validation
      if (contact.PrimaryAddress != null) {
        validateAddress(contact.PrimaryAddress, result)
      } else {
        result.addError("PrimaryAddress", "Primary address is required")
      }
    }

    return result
  }

  private static function validateAddress(address : Address, result : ValidationResult) {
    if (address.AddressLine1 == null || address.AddressLine1.Empty) {
      result.addError("AddressLine1", "Address line 1 is required")
    }
    if (address.City == null || address.City.Empty) {
      result.addError("City", "City is required")
    }
    if (address.State == null) {
      result.addError("State", "State is required")
    }
    if (address.PostalCode == null || address.PostalCode.Empty) {
      result.addError("PostalCode", "Postal code is required")
    }

    // Postal code format validation
    if (address.PostalCode != null && !address.PostalCode.matches("^\\d{5}(-\\d{4})?$")) {
      result.addError("PostalCode", "Invalid postal code format")
    }
  }

  // Validate policy data
  static function validatePolicy(policy : Policy) : ValidationResult {
    var result = new ValidationResult()

    if (policy.Account == null) {
      result.addError("Account", "Policy must be associated with an account")
    }

    if (policy.EffectiveDate == null) {
      result.addError("EffectiveDate", "Effective date is required")
    }

    if (policy.ExpirationDate == null) {
      result.addError("ExpirationDate", "Expiration date is required")
    }

    if (policy.EffectiveDate != null && policy.ExpirationDate != null) {
      if (policy.ExpirationDate.before(policy.EffectiveDate)) {
        result.addError("ExpirationDate", "Expiration date must be after effective date")
      }
    }

    return result
  }
}

class ValidationResult {
  private var _errors = new ArrayList<ValidationError>()

  property get HasErrors() : boolean { return !_errors.Empty }
  property get Errors() : List<ValidationError> { return _errors }

  function addError(field : String, message : String) {
    _errors.add(new ValidationError(field, message))
  }

  function throwIfInvalid() {
    if (HasErrors) {
      throw new ValidationException(
        "Validation failed: " + _errors.map(\e -> e.toString()).join(", ")
      )
    }
  }
}
```

### Step 5: Data Export

```gosu
// Data export utilities
package gw.data.export

uses gw.api.database.Query
uses java.io.FileWriter
uses java.io.BufferedWriter

class DataExporter {

  // Export to CSV
  static function exportAccountsToCSV(filename : String, filter : AccountFilter = null) {
    var writer = new BufferedWriter(new FileWriter(filename))

    try {
      // Write header
      writer.write("AccountNumber,FirstName,LastName,Email,Phone,Address,City,State,Zip\\n")

      // Query accounts
      var query = Query.make(Account)
      if (filter != null) {
        if (filter.Status != null) {
          query.compare(Account#AccountStatus, Equals, filter.Status)
        }
        if (filter.CreatedAfter != null) {
          query.compare(Account#CreateTime, GreaterThan, filter.CreatedAfter)
        }
      }

      // Stream results to file
      query.select().each(\account -> {
        var contact = account.AccountHolderContact
        var address = contact.PrimaryAddress

        writer.write(escapeCSV(account.AccountNumber) + ",")
        writer.write(escapeCSV(contact typeis Person ? contact.FirstName : "") + ",")
        writer.write(escapeCSV(contact typeis Person ? contact.LastName : contact.Name) + ",")
        writer.write(escapeCSV(contact.EmailAddress1 ?: "") + ",")
        writer.write(escapeCSV(contact.HomePhone ?: "") + ",")
        writer.write(escapeCSV(address?.AddressLine1 ?: "") + ",")
        writer.write(escapeCSV(address?.City ?: "") + ",")
        writer.write(escapeCSV(address?.State?.Code ?: "") + ",")
        writer.write(escapeCSV(address?.PostalCode ?: "") + "\\n")
      })
    } finally {
      writer.close()
    }
  }

  // Export to JSON
  static function exportAccountsToJSON(filename : String, limit : int = 1000) : int {
    var accounts = Query.make(Account)
      .compare(Account#AccountStatus, Equals, AccountStatus.TC_ACTIVE)
      .select()
      .take(limit)
      .toList()

    var json = accounts.map(\a -> accountToMap(a))
    var jsonString = gw.api.json.JsonObject.toJson(json)

    var writer = new FileWriter(filename)
    writer.write(jsonString)
    writer.close()

    return accounts.Count
  }

  private static function accountToMap(account : Account) : Map<String, Object> {
    var contact = account.AccountHolderContact
    return {
      "accountNumber" -> account.AccountNumber,
      "status" -> account.AccountStatus.Code,
      "contact" -> {
        "name" -> contact.DisplayName,
        "email" -> contact.EmailAddress1,
        "phone" -> contact.HomePhone
      },
      "createdDate" -> account.CreateTime.toString()
    }
  }

  private static function escapeCSV(value : String) : String {
    if (value.contains(",") || value.contains("\"") || value.contains("\\n")) {
      return "\"" + value.replace("\"", "\"\"") + "\""
    }
    return value
  }
}
```

### Step 6: Data Governance

```typescript
// Data governance and PII handling
interface PIIField {
  fieldPath: string;
  classification: 'PII' | 'PHI' | 'PCI' | 'SENSITIVE';
  maskingRule: 'full' | 'partial' | 'hash';
}

const piiFields: PIIField[] = [
  { fieldPath: 'contact.ssn', classification: 'PII', maskingRule: 'partial' },
  { fieldPath: 'contact.dateOfBirth', classification: 'PII', maskingRule: 'partial' },
  { fieldPath: 'contact.emailAddress1', classification: 'PII', maskingRule: 'partial' },
  { fieldPath: 'bankAccount.accountNumber', classification: 'PCI', maskingRule: 'partial' },
  { fieldPath: 'bankAccount.routingNumber', classification: 'PCI', maskingRule: 'full' }
];

class PIIMasker {
  mask(data: any, fields: PIIField[]): any {
    const masked = JSON.parse(JSON.stringify(data));

    fields.forEach(field => {
      const value = this.getNestedValue(masked, field.fieldPath);
      if (value) {
        const maskedValue = this.applyMaskingRule(value, field.maskingRule);
        this.setNestedValue(masked, field.fieldPath, maskedValue);
      }
    });

    return masked;
  }

  private applyMaskingRule(value: string, rule: string): string {
    switch (rule) {
      case 'full':
        return '*'.repeat(value.length);
      case 'partial':
        if (value.length <= 4) return '****';
        return '*'.repeat(value.length - 4) + value.slice(-4);
      case 'hash':
        return this.hashValue(value);
      default:
        return '****';
    }
  }

  private hashValue(value: string): string {
    // SHA-256 hash for one-way masking
    const crypto = require('crypto');
    return crypto.createHash('sha256').update(value).digest('hex').substring(0, 16);
  }
}

// Data retention policy
class DataRetentionPolicy {
  private retentionRules: Map<string, number> = new Map([
    ['claim', 7 * 365],        // 7 years
    ['policy', 10 * 365],      // 10 years
    ['auditLog', 90],          // 90 days
    ['sessionData', 1],        // 1 day
  ]);

  async enforceRetention(): Promise<RetentionResult> {
    const result: RetentionResult = { deleted: {}, errors: [] };

    for (const [entityType, retentionDays] of this.retentionRules) {
      try {
        const cutoffDate = new Date();
        cutoffDate.setDate(cutoffDate.getDate() - retentionDays);

        const deletedCount = await this.deleteOldRecords(entityType, cutoffDate);
        result.deleted[entityType] = deletedCount;
      } catch (error) {
        result.errors.push({ entityType, error: error.message });
      }
    }

    return result;
  }
}
```

## Data Handling Best Practices

| Practice | Description |
|----------|-------------|
| Use Bundles | Always use Transaction.runWithNewBundle for writes |
| Batch Processing | Process large datasets in batches of 100-500 |
| Lazy Loading | Use select() and iterate, don't toList() large results |
| Index Awareness | Query on indexed fields for performance |
| Validation First | Validate data before database operations |
| Audit Trail | Log all data modifications |
| PII Protection | Mask or encrypt sensitive data |

## Output

- Entity CRUD operations
- Batch processing framework
- Data migration utilities
- Validation framework
- Export capabilities
- Data governance tools

## 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`.


---
Source attribution: Dicklesworthstone
Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/plugins-community/plugins/saas-packs/guidewire-pack/skills/guidewire-data-handling/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License (with OpenAI/Anthropic Rider)

Copyright (c) 2026 Jeffrey Emanuel

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

ADDITIONAL RIDER / RESTRICTION (OpenAI / Anthropic):

This rider is part of the "conditions" of this License. In the event of any
conflict between this rider and any other portion of this License, this rider
controls.

"Restricted Parties" means OpenAI, L.L.C.; Anthropic, PBC; any of their
respective Affiliates; and any person or entity acting directly or indirectly
on behalf of, for the benefit of, or under the direction of any of the
foregoing (including any officer, director, employee, contractor, agent,
consultant, service provider, or representative).

Notwithstanding any other provision of this License, no rights are granted to
any Restricted Party. Any purported license, sublicense, assignment, transfer,
or other permission to any Restricted Party is null and void absent the
express prior written permission of Jeffrey Emanuel.

You may not provide, disclose, distribute, sublicense, sell, lease, lend,
host, make available, or otherwise permit access to the Software or any
derivative work of the Software (as defined in applicable copyright law)
(collectively, "Derivative Works") to or for any Restricted Party.

For purposes of this rider, "use" includes, without limitation: copying,
modifying, merging, publishing, distributing, sublicensing, selling,
transferring, making available, hosting, deploying, executing, benchmarking,
testing, analyzing, indexing, or incorporating the Software or any Derivative
Works into any dataset, training corpus, evaluation harness, or pipeline for
machine learning or other automated systems.

This rider applies to the Software and all Derivative Works. As a condition of
use, you agree that this rider is a precondition to exercising any rights
under this License, and you agree that any distribution of the Software or any
Derivative Works must include this rider provision unmodified.

Any breach of this rider automatically and immediately terminates the
permissions granted by this License. Upon termination, you must immediately
cease all use and distribution of the Software and any Derivative Works and
destroy all copies under your control.

You agree that a breach of this rider would cause irreparable harm and that
Jeffrey Emanuel may seek injunctive or other equitable relief to enforce this
rider, in addition to any other remedies available at law. To the maximum
extent permitted by applicable law, the prevailing party in any action to
enforce this rider shall be entitled to recover reasonable attorneys' fees and
costs.

For purposes of this rider, "Affiliate" means any entity that directly or
indirectly controls, is controlled by, or is under common control with the
specified party. "Control" means ownership of more than 50% of the voting
securities or other ownership interest, or the power to direct management or
policies by contract or otherwise.

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: Dicklesworthstone
Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/plugins-community/plugins/saas-packs/guidewire-pack/skills/guidewire-data-handling/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Development & Engineering, Operations, Product Management
Roles: Backend Developer, Business Process Analyst, Data Analyst, ML / AI Engineer, Product Manager
Specialties: API, Database
Tools: Guidewire
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 312a6340386faf4b34e746dc00cae696e86d8d498abe0c25807f4b98ac439dd0