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Skills IA Bases de données

Découvrez les skills Bases de données, comparez leurs dépôts et consultez leurs instructions.

Catégories: Bases de données

43,177–43,200 sur 85,283

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Explorer

GitHub

utility-scripts

mnthe

Comprehensive guide to teamwork script usage patterns for project, task, and wave management. Use this skill to understand available scripts, their parameters, and common usage patterns.

GitHub

teamwork-clean

mnthe

This skill should be used when agents need to reset a teamwork project's execution state while preserving metadata. Use before starting a new project in the same session, after a failed project, or when task/ve...

GitHub

tdd-workflow

mnthe

Test-Driven Development (TDD) workflow for ultrawork tasks with approach: "tdd". Enforces RED-GREEN-REFACTOR cycle with gate hooks and evidence requirements. Required knowledge for worker agents implementing TD...

GitHub

planning

mnthe

This skill should be used when designing implementation plans, decomposing complex work into tasks, or making architectural decisions during ultrawork sessions. Used by orchestrator (interactive mode) and plann...

GitHub

project-setup-validator

khw1031

프로젝트 초기화 완료 후 설정을 검증하고 체크리스트를 확인. '검증해줘', '제대로 설정됐나?', '확인해줘' 같은 요청 시 자동 활성화

GitHub

vite-react-setup-guide

khw1031

Vite + React 프로젝트 아키텍처, 기술 스택 선택에 대한 질문이나 계획 수립 시 자동으로 가이드 제공

GitHub

nextjs-setup-guide

khw1031

Next.js 프로젝트 아키텍처, 기술 스택 선택, 디자인 시스템 구조에 대한 질문이나 계획 수립 시 자동으로 가이드 제공

GitHub

nextjs-project-initializer

khw1031

Next.js 프로젝트를 실제로 생성하고 초기화하는 실행 단계. '프로젝트 만들어줘', '초기화해줘' 같은 실행 요청 시 자동 활성화

GitHub

nestjs-project-initializer

khw1031

NestJS 프로젝트를 실제로 생성하고 초기화하는 실행 단계. '프로젝트 만들어줘', '초기화해줘' 같은 실행 요청 시 자동 활성화

GitHub

nestjs-setup-guide

khw1031

NestJS 프로젝트 아키텍처, 기술 스택 선택, 모듈 구조에 대한 질문이나 계획 수립 시 자동으로 가이드 제공

GitHub

learn

Awakehsh

Universal learning system that extracts insights from conversations and updates project memory files (CLAUDE.md, AGENTS.md, .cursorrules, etc.) with LLM-friendly documentation. Works across all AI coding assist...

GitHub

codex-cli

Awakehsh

Interact with OpenAI Codex CLI for plan review, code review, and complex problem discussion. Supports model selection and multi-round conversations. Usage: /codex-cli [options]

GitHub

example-skill

Awakehsh

This is an example skill demonstrating the correct SKILL.md format. Use this as a reference when users want to learn how to create skills. Contains all required and recommended sections.

GitHub

database-admin

rameshbgm

HR Database specialist providing employee data queries using in-memory SQLite database (FREE, no external dependencies).

GitHub

web-security

PaulKinlan

Expert knowledge in implementing secure web applications and protecting against common vulnerabilities. Covers OWASP Top 10, authentication and authorization, data protection, Content Security Policy (CSP), HTT...

GitHub

web-accessibility

PaulKinlan

Expert knowledge in creating accessible web applications that comply with WCAG guidelines. Covers ARIA, semantic HTML, keyboard navigation, screen reader support, color contrast, and focus management. Use when...

GitHub

modern-web-dev

PaulKinlan

Use this skill when implementing web features to ensure modern APIs and techniques are used. Triggers: Building UI components, adding browser APIs, implementing features that could use legacy patterns. Example...

GitHub

chrome-extensions-development

PaulKinlan

Expert knowledge in developing Chrome extensions covering all aspects from basic architecture to advanced features. Covers Manifest V3, service workers, content scripts, Chrome APIs, popup and options pages, se...

GitHub

web-application-testing

PaulKinlan

Expert knowledge in testing web applications across all levels, from unit tests to end-to-end testing. Covers unit testing, integration testing, E2E testing, Test-Driven Development (TDD), test coverage, mockin...

GitHub

web-performance

PaulKinlan

Expert knowledge in optimizing web application performance for speed, efficiency, and excellent user experience. Covers Core Web Vitals (LCP, FID/INP, CLS), loading optimization, runtime performance, bundle opt...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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