القائمة
Database query optimization for Canvas plugins - N+1 detection, prefetch_related, select_related
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Canvas SDK reference and documentation. Use whenever a question, claim, or piece of code touches Canvas SDK capabilities, API usage, implementation patterns, or testing — including quick conversational questions ("how do I ingest ADTs?", "what's the import for X?", "does Canvas support Y?"). The bundled docs are the source of truth; do not answer Canvas SDK questions from memory.
FHIR API reference and documentation for Canvas plugins that need to read or write data via FHIR endpoints
This skill should be used when the user asks to "write tests", "create tests", "generate tests", "unit tests", "pytest", "test guidelines", "testing rules", "test standards", "how to test", "test this code", "add tests", "validate tests", "check tests", "improve tests", or when working with Python test files. Provides comprehensive guidelines for creating pytest unit tests with 100% coverage following strict naming conventions, mock patterns, and parametrization standards.
Custom Data anti-patterns and corrections for Canvas plugins - unnecessary compatibility checks, misuse of AttributeHubs vs CustomModels
Security review for plugins acting as FHIR API clients - token management, scope validation, and patient-scoped authorization
Unit test authoring and coverage checking for Canvas plugins
| name | database-performance |
| description | Database query optimization for Canvas plugins - N+1 detection, prefetch_related, select_related |
This skill provides database query optimization guidelines for Canvas plugins. Use it to identify N+1 query issues and optimize data access patterns using Django ORM best practices.
Use this skill when:
Search for these patterns that often indicate N+1 issues:
# Loops accessing related objects
grep -rn "for.*in.*\.objects" --include="*.py" .
grep -rn "\.filter\|\.get\|\.all" --include="*.py" .
Reference the performance_context.txt file for detailed patterns including:
select_related() for foreign keysprefetch_related() for reverse relations and many-to-many