frappe-data-migration-generator

Frappe Data Migration Generator

Generate robust data migration scripts with validation, error handling, and progress tracking for importing data into Frappe.

Global Rules

These Frappe conventions apply to everything this skill generates, and override any conflicting example below.

• Bench commands: use bare bench (never ./env/bin/bench or a full path). Always pass --site <site> explicitly — never run a bare bench migrate / bench run-tests. Run bench start in the background and only if it isn't already running. Don't run discovery commands (which bench, bench --version).
• DocType files live at apps/<app>/<app>/<module>/doctype/<name>/<name>.json — the app name appears twice (directory + Python package) — with an empty __init__.py alongside. Never mkdir the folder; write the JSON and run bench --site <site> migrate to create the structure. Don't add creation, modified, owner, modified_by, or docstatus as fields — Frappe manages them.
• Database & ORM: prefer frappe.qb.get_query() over raw frappe.db.sql(). Use frappe.db.get_all() for server logic (ignores permissions) and frappe.db.get_list() for user-facing APIs (enforces them). Never use frappe.db.set_value() on a field with validation or lifecycle logic — load the doc and doc.save() so controller hooks run. Batch-fetch related records; never query inside a loop (N+1).
• Never call frappe.db.commit() in controllers, request handlers, background jobs, or patches — Frappe auto-commits on success and rolls back on uncaught errors. Flush manually only to make a write visible to a subsequent frappe.enqueue() (or pass enqueue_after_commit=True).
• Permissions & APIs: put permission checks inside controller methods (enforced on every call path), not in API wrappers. Type-hint every @frappe.whitelist() parameter so Frappe validates and casts it, and pass methods=[...] to pin the HTTP verb.

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