frappe-performance-optimizer

Frappe Performance Optimizer

Generate performance-optimized code including efficient queries, caching strategies, and database indexes for Frappe applications.

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 reports slow queries or performance issues
• User wants to add caching
• User needs database indexing
• User mentions performance, optimization, or slow queries
• User wants to eliminate N+1 queries