django
Use when building Django applications. Covers ORM query performance, model design, migrations, Django REST Framework, security defaults, and testing.
Works with
---
name: django
description: Use when building Django applications. Covers ORM query performance, model design, migrations, Django REST Framework, security defaults, and testing.
license: MIT
---
# Django
## Purpose
Build Django applications that use the ORM efficiently and the framework's security defaults correctly. Most Django performance problems are one missing `select_related` away from being fixed.
## When to Use
- Building or reviewing a Django application or DRF API.
- Diagnosing slow views caused by the ORM.
- Writing migrations that must run against a large table.
- Auditing Django security settings before launch.
## Capabilities
- ORM: `select_related`, `prefetch_related`, annotations, subqueries, bulk operations.
- Model design: constraints, indexes, and validation at the database level.
- Migrations, including zero-downtime patterns for large tables.
- Django REST Framework: serializers, viewsets, permissions, pagination.
- Security: the settings that must not be wrong in production.
## Inputs
- The application, its models, and the slow view or endpoint if there is one.
- Table sizes, for anything involving migrations.
- Deployment environment and settings module.
## Outputs
- Views with a bounded, predictable query count.
- Migrations that do not lock a large table.
- Settings that pass `manage.py check --deploy`.
## Workflow
1. **Count the queries** — `assertNumQueries` in tests, `django-debug-toolbar` in development. An N+1 is invisible until you count.
2. **Fix them at the queryset** — `select_related` for forward foreign keys (a join), `prefetch_related` for reverse and many-to-many (a second query). Not both, not neither.
3. **Push work into the database** — `annotate`, `aggregate`, `bulk_create`, `update`. A loop that saves each object issues one query per iteration.
4. **Constrain at the database** — `UniqueConstraint`, `CheckConstraint`. Application-level validation does not survive concurrency or a shell script.
5. **Migrate safely** — On a large table, adding a column with a default rewrites it. Add nullable, backfill in batches, then set the default.
6. **Check the deploy settings** — `DEBUG = False`, `ALLOWED_HOSTS`, `SECURE_*`, `SECRET_KEY` from the environment.
## Best Practices
- `queryset.count()` inside a template loop is a query per iteration. Annotate the count once.
- `.only()` and `.defer()` are traps if the deferred field is later accessed — each access is a new query. Use them only when profiling shows they help.
- Never use `objects.all()` in a view without pagination. It will work fine until the table has a million rows.
- Signals create action at a distance and make tests fragile. Prefer explicit calls in a service function.
- `bulk_create` does not call `save()` or fire signals — which is the point, and also the footgun. Know which behavior you need.
- Run `manage.py check --deploy` in CI. It catches the settings that turn into vulnerabilities.
## Examples
**Removing an N+1 and pushing aggregation into the database:**
```python
# Before: 1 query for orders + 1 per customer + 1 per line-item count = ~2N+1.
orders = Order.objects.filter(status="open")
for order in orders:
print(order.customer.name, order.items.count())
# After: 2 queries total, count computed by the database.
orders = (
Order.objects
.filter(status="open")
.select_related("customer") # join
.annotate(item_count=Count("items")) # aggregate in SQL
)
for order in orders:
print(order.customer.name, order.item_count)
```
**Database-level constraint rather than a hopeful `clean()`:**
```python
class Subscription(models.Model):
tenant = models.ForeignKey(Tenant, on_delete=models.CASCADE)
period_start = models.DateField()
period_end = models.DateField()
class Meta:
constraints = [
models.UniqueConstraint(
fields=["tenant", "period_start"],
name="uniq_subscription_period",
),
models.CheckConstraint(
check=models.Q(period_end__gt=models.F("period_start")),
name="period_end_after_start",
),
]
```
## Notes
- `select_related` on a nullable foreign key produces a LEFT JOIN and can multiply rows through a chain. Check the generated SQL with `str(qs.query)` when the query count looks right but the latency does not.
- Adding an index on a large PostgreSQL table blocks writes unless you use `AddIndexConcurrently` inside a `NonAtomic` migration.
- DRF's `ModelSerializer` will happily expose every field on the model. Always list `fields` explicitly; `__all__` is how private fields end up in a public API.More Testing skills
tdd
mattpocock/skills
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setup-pre-commit
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Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.
agent-browser
vercel-labs/agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

