Agent skill
frappe-data-migration-generator
Generate data migration scripts for Frappe. Use when migrating data from legacy systems, transforming data structures, or importing large datasets.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/frappe-data-migration-generator
SKILL.md
Frappe Data Migration Generator
Generate robust data migration scripts with validation, error handling, and progress tracking for importing data into Frappe.
When to Use This Skill
Claude should invoke this skill when:
- User wants to migrate data from legacy systems
- User needs to import large CSV/Excel files
- User mentions data migration, ETL, or data import
- User wants to transform data structures
- User needs bulk data operations
Capabilities
1. CSV Import Script
Production-Ready CSV Importer:
import csv
import frappe
from frappe.utils import flt, cint, getdate
def import_customers_from_csv(file_path):
"""Import customers with validation and error handling"""
success = []
errors = []
with open(file_path, 'r', encoding='utf-8-sig') as f:
reader = csv.DictReader(f)
for idx, row in enumerate(reader, start=2):
try:
# Validate required fields
if not row.get('Customer Name'):
raise ValueError('Customer name required')
# Transform data
customer = {
'doctype': 'Customer',
'customer_name': row['Customer Name'].strip(),
'customer_group': row.get('Customer Group', 'Commercial'),
'territory': row.get('Territory', 'All Territories'),
'email_id': row.get('Email', '').strip(),
'mobile_no': row.get('Phone', '').strip(),
'credit_limit': flt(row.get('Credit Limit', 0))
}
# Check duplicate
exists = frappe.db.exists('Customer',
{'customer_name': customer['customer_name']})
if exists:
# Update
doc = frappe.get_doc('Customer', exists)
doc.update(customer)
doc.save()
else:
# Insert
doc = frappe.get_doc(customer)
doc.insert()
success.append(row['Customer Name'])
# Commit every 100
if len(success) % 100 == 0:
frappe.db.commit()
print(f"Processed {len(success)} records")
except Exception as e:
errors.append({'row': idx, 'data': row, 'error': str(e)})
frappe.db.commit()
return {'success': success, 'errors': errors}
References
Frappe Data Import:
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
agent-ops-spec
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.
agent-ops-state
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
agent-ops-spec
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.
agent-ops-testing
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
agent-ops-testing
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
agent-ops-state
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
Didn't find tool you were looking for?