django-engine-pro

Plugin django-engine-pro from marketplace codex-marketplace in Travis-Gilbert/claude-marketplace. Commands read from the repo's manifest — 1 month ago.

Skills (1)

• django-engine-design

  Backend architecture planning partner for Django projects. Covers model design, inheritance strategy, ORM optimization, API framework selection (DRF vs Ninja), polymorphic model patterns, MCP server planning, and scientific Python integration. Use when planning any Django backend work before impleme

Slash commands (9)

• /django-engine-pro:api

  Design Django APIs with DRF or Django Ninja: framework selection, serializers, viewsets, schemas, filtering, pagination

• /django-engine-pro:data-bridge

  Bridge Django ORM with pandas/numpy/scipy: QuerySet-to-DataFrame, bulk ingest, computation pipelines

• /django-engine-pro:engine

  Django-Engine-Pro hub: routes to the right backend specialist (model, orm, api, polymorphic, mcp, data-bridge, pydantic)

• /django-engine-pro:learn

  End-of-session learning. Saves what happened, updates

• /django-engine-pro:mcp-django

  Build MCP servers from Django: ModelQueryToolset, custom toolsets, DRF bridge, queryset scoping, async ORM

• /django-engine-pro:model

  Design Django models with proper inheritance strategy, field selection, managers, indexes, and migration planning

• /django-engine-pro:orm

  Optimize Django ORM queries: N+1 detection, select_related/prefetch_related, aggregations, window functions, raw SQL

• /django-engine-pro:polymorphic

  Design and implement django-polymorphic models with performance controls, admin integration, and DRF serialization

• /django-engine-pro:pydantic

  Pydantic v2 with Django: schema design, model-to-schema mapping, PydanticAI agents, Django Ninja integration

Subagents (7)

• api-architect

  Django API design specialist for DRF and Django Ninja framework selection, serializer design, viewset patterns, and OpenAPI schema generation. Use this agent when designing API endpoints, choosing between DRF and Ninja, designing serializers or schemas, or reviewing API architecture. <example> Conte

• data-bridge

  Django-to-scientific-Python integration specialist for QuerySet-to-DataFrame conversion, bulk ingest, computation pipelines, and memory management. Use this agent when bridging Django ORM with pandas, numpy, or scipy, or when building data pipelines that move data between Django and scientific Pytho

• mcp-builder

  Django MCP server construction specialist for exposing models, DRF APIs, and business logic as MCP tools. Use this agent when building MCP servers from Django, bridging DRF to MCP, or designing tool exposure patterns with queryset scoping and authentication. <example> Context: User wants to expose D

• model-architect

  Django model design specialist for inheritance strategy, field selection, managers, and migrations. Use this agent when designing Django models, choosing inheritance patterns, planning migrations, or reviewing model architecture. Triggers proactively after model code is written and reactively on mod

• orm-specialist

  Django ORM expert for complex queries, N+1 detection, performance optimization, and raw SQL. Use this agent when writing complex ORM queries, diagnosing query performance issues, or reviewing queryset patterns. Triggers on ORM performance questions, N+1 detection, and complex query construction. <ex

• polymorphic-engineer

  django-polymorphic specialist for PolymorphicModel design, queryset performance control, admin integration, and DRF serialization of polymorphic hierarchies. Use this agent when working with django-polymorphic models, designing type hierarchies, or serializing mixed-type querysets. <example> Context

• pydantic-specialist

  Pydantic v2 expert for Django contexts: three-way mapping between Django models, DRF serializers, and Pydantic schemas. Use this agent when designing Pydantic schemas for Django projects, integrating PydanticAI agents, or mapping between models, serializers, and schemas. <example> Context: User need

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