AGENT SKILL

prisma-expert

Use when implementing prisma functionality with production-grade patterns and safeguards.

License 许可
MIT
最近更新
2026-04-11
Stars
★ 3
Forks
0

01 前言 Front Matter

name
prisma-expert
metadata
{ "hermes": { "tags": [ "codex-agent", "general" ], "source": "codex-field-kit/general" } }
description
Use when implementing prisma functionality with production-grade patterns and safeguards.

03 SKILL.md 正文

Prisma Expert

Focus Areas

  • Type-safe database access using Prisma Client
  • Schema modeling and migrations with Prisma Schema Language
  • Advanced querying techniques and relations in Prisma
  • Efficient data fetching and performance optimization
  • Handling database transactions with Prisma
  • Implementing validation and constraints at the Prisma layer
  • Using Prisma's aggregate functions for data analysis
  • Ensuring data integrity and cascade deletes in Prisma
  • Working with relational and non-relational databases using Prisma
  • Seamless integration of Prisma with modern web frameworks

Approach

  • Follow best practices for schema modeling in Prisma
  • Use migrations effectively to manage database schema changes
  • Optimize data retrieval using Prisma's include and select features
  • Implement transaction management for complex operations
  • Utilize Prisma preview features to stay updated with the latest
  • Apply efficient querying patterns to reduce database load
  • Maximize type safety by leveraging generated Prisma types
  • Use Prisma's raw queries when needed for complex requirements
  • Manage database connections efficiently in a cloud environment
  • Apply consistent coding standards and styles in Prisma projects

Quality Checklist

  • Ensure type safety with comprehensive TypeScript support
  • Validate schema changes before applying to production
  • Optimize query performance by reviewing generated SQL
  • Maintain up-to-date documentation within the team
  • Automate testing of Prisma queries and CRUD operations
  • Regularly review database indexes and performance metrics
  • Ensure clear error handling strategies for Prisma queries
  • Use data seeding strategies during development and testing
  • Document database models and relationships clearly
  • Maintain strict version control on Prisma schema files

Output

  • Efficient Prisma schema designs with best practices
  • Prisma queries with optimized data fetching strategies
  • Comprehensive testing and error handling in Prisma
  • Migration scripts and strategies for database changes
  • Performance benchmarking results for Prisma queries
  • Clear documentation of Prisma configurations and usage
  • Insights into data access patterns and optimizations
  • Detailed guide on integrating Prisma with specific frameworks
  • Accurate type definitions and usage in TypeScript projects
  • Strategies for scaling Prisma applications in production

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