doanchienthangdev/omgkit - 3ページ

dispatching-parallel-agents

AI agent orchestrates parallel task execution through concurrent specialized agents for maximum efficiency. Use when tasks can run independently, multi-concern reviews, or parallel exploration.

原文の言語: 英語

executing-plans

AI agent follows implementation plans systematically with progress tracking, quality gates, and blocker resolution. Use when implementing features, following plans, or executing tasks.

原文の言語: 英語

finishing-development-branches

AI agent completes development branches with comprehensive quality gates, clean git history, and thorough PR preparation. Use when wrapping up features, preparing for merge, or finalizing PRs.

原文の言語: 英語

solving-problems

AI agent applies a 5-phase systematic framework for tackling complex problems when conventional approaches fail. Use when stuck, blocked, or troubleshooting issues.

原文の言語: 英語

receiving-code-reviews

AI agent handles code review feedback professionally by categorizing, responding appropriately, and extracting learnings. Use when PR feedback arrives, addressing reviewer comments, or improving from feedback.

原文の言語: 英語

requesting-code-reviews

AI agent requests effective code reviews through proper preparation, clear descriptions, and appropriate reviewer selection. Use when creating PRs, requesting feedback, or submitting for review.

原文の言語: 英語

tracing-root-causes

AI agent performs systematic root cause analysis using 5 Whys, Fishbone diagrams, and evidence-based investigation. Use when debugging, conducting post-mortems, or investigating incidents.

原文の言語: 英語

thinking-sequentially

AI agent structures complex reasoning through numbered thought sequences with explicit dependencies. Use when facing multi-step problems, complex debugging, or architectural decisions.

原文の言語: 英語

debugging-systematically

AI agent follows a 5-phase debugging process with reproduction, isolation, hypothesis testing, and root cause resolution. Use when investigating bugs, troubleshooting issues, or hunting errors.

原文の言語: 英語

avoiding-testing-anti-patterns

AI agent identifies and fixes common testing anti-patterns that lead to flaky, slow, or unmaintainable test suites. Use when reviewing tests, debugging test failures, or improving test quality.

原文の言語: 英語

optimizing-tokens

AI agent maximizes efficiency and minimizes costs through strategic token usage while maintaining output quality. Use when managing AI interactions, designing prompts, or reducing costs.

原文の言語: 英語

verifying-before-completion

AI agent validates work through evidence-based verification with comprehensive checklists, automated validation, and proof-of-work documentation. Use when completing tasks, preparing for review, or ensuring quality.

原文の言語: 英語

writing-plans

AI agent creates structured implementation plans with task breakdown, dependency mapping, risk assessment, and file-level detail. Use when planning features, projects, or complex implementations.

原文の言語: 英語

architecting-omega-systems

Designs scalable, resilient architectures using the 7 Omega principles. Use when building systems that need to scale to millions of users or designing platform-level infrastructure.

原文の言語: 英語

coding-with-omega-leverage

Applies AI-first development patterns for 10-100x productivity through specification-driven generation and leverage multiplication. Use when developing features with AI assistance or optimizing development workflows.

原文の言語: 英語

managing-omega-sprints

Orchestrates AI-native sprint management with autonomous agent coordination and continuous delivery. Use when running development sprints with AI agent teams or coordinating parallel task execution.

原文の言語: 英語

testing-omega-quality

Implements comprehensive testing across all quality dimensions - accuracy, performance, security, and accessibility. Use when building test strategies or ensuring production-grade quality assurance.

原文の言語: 英語

thinking-in-omega-modes

Applies 7 systematic thinking modes for breakthrough problem-solving and 10x improvements. Use when tackling complex problems, seeking transformative insights, or escaping conventional thinking traps.

原文の言語: 英語

implementing-better-auth

Claude implements enterprise TypeScript authentication with Better Auth. Use when building auth systems, adding OAuth providers, enabling MFA, or managing sessions in TypeScript/Next.js projects.

原文の言語: 英語

implementing-oauth

Claude implements OAuth 2.0 and OpenID Connect authorization flows. Use when adding social login, integrating OAuth providers, managing tokens, or securing APIs with OAuth.

原文の言語: 英語

applying-owasp-security

Claude applies OWASP security best practices to web applications. Use when preventing vulnerabilities, implementing input validation, securing authentication, configuring security headers, or conducting security reviews.

原文の言語: 英語

testing-with-playwright

Claude writes reliable E2E tests using Playwright for browser automation. Use when writing end-to-end tests, implementing Page Object Model, visual regression testing, API mocking, or cross-browser testing.

原文の言語: 英語

testing-with-pytest

Claude writes comprehensive Python tests using pytest. Use when writing unit tests, creating fixtures, parametrizing tests, mocking dependencies, testing async code, or setting up CI test pipelines.

原文の言語: 英語

testing-with-vitest

Claude writes fast, reliable tests using Vitest for TypeScript/JavaScript projects. Use when writing unit tests, component tests, setting up mocks, snapshot testing, or configuring test coverage.

原文の言語: 英語

processing-documents

Processes PDF, DOCX, XLSX, and PPTX files with extraction, generation, and batch operations. Use when building document pipelines, extracting content from office files, or generating reports.

原文の言語: 英語

processing-images

Processes images with Sharp for optimization, resizing, format conversion, and batch operations. Use when optimizing web images, generating thumbnails, creating responsive image sets, or applying transformations.

原文の言語: 英語

developing-mcp-servers

Creates Model Context Protocol servers with tools, resources, and prompts for AI assistant integration. Use when extending Claude with custom capabilities, building AI tool integrations, or exposing APIs to AI assistants.

原文の言語: 英語

processing-media

Processes audio and video with ffmpeg including transcoding, streaming, and batch operations. Use when building video pipelines, converting formats, generating thumbnails, or implementing HLS/DASH streaming.

原文の言語: 英語

rails

Enterprise Ruby on Rails development with Active Record, API mode, testing, and production patterns

原文の言語: 英語

spring

Enterprise Spring Boot development with JPA, security, testing, and microservices patterns

原文の言語: 英語

postgresql

PostgreSQL database design, queries, optimization, and best practices

原文の言語: 英語

docker

Docker containerization with best practices for builds, compose, and production deployment

原文の言語: 英語

nextjs

Next.js development with App Router, Server Components, API routes, and full-stack patterns

原文の言語: 英語

python

Python development with type hints, async patterns, testing, and modern best practices

原文の言語: 英語

typescript

TypeScript development with advanced type safety, generics, utility types, and best practices

原文の言語: 英語

api-architecture

Enterprise API design with REST, GraphQL, gRPC patterns including versioning, pagination, and error handling

原文の言語: 英語

caching-strategies

Multi-layer caching with Redis, CDN, and browser caching for optimal application performance

原文の言語: 英語

event-driven-architecture

Event sourcing, CQRS, and message queue patterns with RabbitMQ and Kafka for distributed systems

原文の言語: 英語

real-time-systems

WebSocket, Server-Sent Events, and real-time communication patterns for live features

原文の言語: 英語

database-optimization

Advanced database performance tuning including query optimization, indexing strategies, partitioning, and scaling patterns

原文の言語: 英語