Skill Overview
Start with fit, limitations, and setup before diving into the repository.
Cenario recomendado: Ideal for AI agents that need ralph loop — 완료까지 자기교정 루프. Resumo localizado: ralph-loop helps AI agents handle repository-specific developer workflows with documented implementation details.
Por que usar essa habilidade
Recomendacao: ralph-loop helps agents ralph loop — 완료까지 자기교정 루프. ralph-loop helps AI agents handle repository-specific developer workflows with documented implementation details.
Melhor para
Cenario recomendado: Ideal for AI agents that need ralph loop — 완료까지 자기교정 루프.
↓ Casos de Uso Práticos for ralph-loop
! Segurança e Limitações
- Limitacao: Requires repository-specific context from the skill documentation
- Limitacao: Works best when the underlying tools and dependencies are already configured
About The Source
The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
Browser Sandbox Environment
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Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.
FAQ e etapas de instalação
These questions and steps mirror the structured data on this page for better search understanding.
? Perguntas frequentes
O que é ralph-loop?
Cenario recomendado: Ideal for AI agents that need ralph loop — 완료까지 자기교정 루프. Resumo localizado: ralph-loop helps AI agents handle repository-specific developer workflows with documented implementation details.
Como instalar ralph-loop?
Execute o comando: npx killer-skills add Lee-SiHyeon/oh-my-copilot/ralph-loop. Ele funciona com Cursor, Windsurf, VS Code, Claude Code e mais de 19 outros IDEs.
Quais são os casos de uso de ralph-loop?
Os principais casos de uso incluem: Caso de uso: Applying RALPH LOOP — 완료까지 자기교정 루프, Caso de uso: Applying "완료될 때까지 멈추지 않는다.", Caso de uso: Applying /ralph-loop "모든 TypeScript 에러 수정".
Quais IDEs são compatíveis com ralph-loop?
Esta skill é compatível com Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use a CLI do Killer-Skills para uma instalação unificada.
ralph-loop tem limitações?
Limitacao: Requires repository-specific context from the skill documentation. Limitacao: Works best when the underlying tools and dependencies are already configured.
↓ Como instalar este skill
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1. Abra o terminal
Abra o terminal ou linha de comando no diretório do projeto.
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2. Execute o comando de instalação
Execute: npx killer-skills add Lee-SiHyeon/oh-my-copilot/ralph-loop. A CLI detectará sua IDE ou agente automaticamente e configurará a skill.
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3. Comece a usar o skill
O skill já está ativo. Seu agente de IA pode usar ralph-loop imediatamente no projeto atual.
! Source Notes
This page is still useful for installation and source reference. Before using it, compare the fit, limitations, and upstream repository notes above.
Upstream Repository Material
The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
ralph-loop
Install ralph-loop, an AI agent skill for AI agent workflows and automation. Explore features, use cases, limitations, and setup guidance.