Can it help with memory issues in background tasks?

Absolutely. It identifies unbounded querysets and suggests using the .iterator() method to stream large datasets without exhausting server memory.

Does it support Django Rest Framework (DRF)?

Yes, it is designed to analyze DRF serializers, specifically identifying performance issues caused by SerializerMethodFields and unoptimized ViewSet querysets.

Are the optimization suggestions validated?

Yes, the skill follows a research-first approach, verifying data volume and call frequency to ensure it only reports high-impact, provable performance issues.

How does this skill identify N+1 queries?

It traces the data flow from views to templates and serializers, specifically checking if related fields are accessed inside loops without proper select_related or prefetch_related calls.

Django Performance Auditor

Name: Django Performance Auditor
Author: lingxling

bylingxling

•

Database Management

Conducts rigorous performance audits of Django codebases to identify and fix validated database bottlenecks and ORM inefficiencies.

The Django Performance Auditor is a specialized Claude Code skill designed to optimize Django applications by identifying high-impact performance issues within the ORM and database layers. It focuses on validating provable bottlenecks such as N+1 queries in views and serializers, unbounded querysets that risk memory exhaustion, missing database indexes on hot paths, and inefficient write loops. By tracing data flow from the view to the template or serializer, this skill ensures that every finding is actionable and evidence-based, helping developers maintain scalable and efficient Django backends without speculative noise.

Key Features

01Detection of N+1 queries in Django ORM and DRF serializers

02Analysis of queryset boundedness to prevent memory exhaustion and OOM errors

03Identification of missing database indexes on high-traffic filtering and ordering fields

0439 GitHub stars

05Optimization of write operations through bulk create and update recommendations

06Evidence-based validation tracing data flow from database to final output

Use Cases

01Modernizing legacy Django ORM patterns to improve application responsiveness

02Auditing a Django application before a major production release or scaling event

03Troubleshooting slow API endpoints and high database CPU usage

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lingxling/awesome-skills-cn django-perf-review

For use in Claude.ai and ChatGPT

Key Features

01Detection of N+1 queries in Django ORM and DRF serializers

02Analysis of queryset boundedness to prevent memory exhaustion and OOM errors

03Identification of missing database indexes on high-traffic filtering and ordering fields

0439 GitHub stars

05Optimization of write operations through bulk create and update recommendations

06Evidence-based validation tracing data flow from database to final output

Use Cases

01Modernizing legacy Django ORM patterns to improve application responsiveness

02Auditing a Django application before a major production release or scaling event

03Troubleshooting slow API endpoints and high database CPU usage