django-analyzer

To perform a deep Django code review on complex models, the skill analyzes architectural patterns, messaging flows like STOMP and outbox, and ORM usage to identify data flow relationships and code quality issues. It maps complex architectures and produces actionable reports.

Django security auditing reviews DRF authentication boundaries and permission schemes to identify data exposure risks. It analyzes authorization flows to ensure robust security patterns are applied across the application architecture.

The best way to identify Django performance bottlenecks is to profile query analysis and ORM usage patterns. The skill provides performance profiling and code quality insights to pinpoint bottlenecks and assess test coverage within large projects.

Yes, you can use the MCP-First protocol to access repository files via mcp_io_github_git_get_file_contents for architectural pattern analysis. It delegates structure checks to a repository investigator with explicit stop conditions to examine messaging patterns.

Yes, this Django analysis approach works specifically with STOMP and outbox messaging patterns. It investigates these complex messaging architectures alongside data flows and ORM usage to provide in-depth structural and security insights.