Total 54,890 skills, Backend Development has 4356 skills
Showing 12 of 4356 skills
Build production-grade Laravel REST APIs using opinionated architecture patterns with Laravel best practices. Use when building, scaffoling, or reviewing Laravel APIs with specifications for stateless design, versioned endpoints, invokable controllers, Form Request DTOs, Action classes, JWT authentication, and PSR-12 code quality standards. Triggers on "build a Laravel API", "create Laravel endpoints", "add API authentication", "review Laravel API code", "refactor Laravel API", or "improve Laravel code quality".
Receive and verify SendGrid webhooks. Use when setting up SendGrid webhook handlers, debugging signature verification, or handling email delivery events.
Database access patterns for performance. Separate read/write models, avoid N+1 queries, use AsNoTracking, apply row limits, and never do application-side joins. Works with EF Core and Dapper.
Implement OAuth 2.0 social login with Google, GitHub, and other providers. Handles token exchange, user creation, and account linking.
Implement secure JWT (JSON Web Token) authentication in Node.js applications with access/refresh tokens and role-based access control
Create Revit plugin projects based on Saury.Revit.Template. Triggered when users request to create Revit plugins, new Revit projects, initialize Revit development environments, or use the saury-revit template. Covered scenarios: (1) Create new Revit plugin projects (2) Install/update saury-revit dotnet templates (3) Add new features (Command/View/ViewModel/Service) to existing projects. Keywords: Revit, plugin, saury-revit, dotnet new.
FastAPI framework mechanics and advanced patterns. Use when configuring middleware, creating dependency injection chains, implementing WebSocket endpoints, customizing OpenAPI documentation, setting up CORS, building authentication dependencies (JWT validation, role-based access), implementing background tasks, or managing application lifespan (startup/shutdown). Does NOT cover basic endpoint CRUD or repository/service patterns (use python-backend-expert) or testing (use pytest-patterns).
Python error handling patterns for FastAPI, Pydantic, and asyncio. Follows "Let it crash" philosophy - raise exceptions, catch at boundaries. Covers HTTPException, global exception handlers, validation errors, background task failures. Use when: (1) Designing API error responses, (2) Handling RequestValidationError, (3) Managing async exceptions, (4) Preventing stack trace leakage, (5) Designing custom exception hierarchies.
Use this skill to analyze an existing PostgreSQL database and identify which tables should be converted to Timescale/TimescaleDB hypertables. **Trigger when user asks to:** - Analyze database tables for hypertable conversion potential - Identify time-series or event tables in an existing schema - Evaluate if a table would benefit from Timescale/TimescaleDB - Audit PostgreSQL tables for migration to Timescale/TimescaleDB/TigerData - Score or rank tables for hypertable candidacy **Keywords:** hypertable candidate, table analysis, migration assessment, Timescale, TimescaleDB, time-series detection, insert-heavy tables, event logs, audit tables Provides SQL queries to analyze table statistics, index patterns, and query patterns. Includes scoring criteria (8+ points = good candidate) and pattern recognition for IoT, events, transactions, and sequential data.
Create a new built-in evlog adapter to send wide events to an external observability platform. Use when adding a new drain adapter (e.g., for Datadog, Sentry, Loki, Elasticsearch, etc.) to the evlog package. Covers source code, build config, package exports, tests, and all documentation.
Designing Go libraries and packages for long-term evolution. Covers API surface management, dependency direction, backwards compatibility, trade-offs between parameter objects and functional options, and testability via deterministic simulation.
Implement error tracking with Sentry for automatic exception monitoring, release tracking, and performance issues. Use when setting up error monitoring, tracking bugs in production, or analyzing application stability.