Ralph Loop

OrganizationPopular

cursor

ralph-loop

Start a Ralph Loop for iterative self-referential development. Use when the user asks to run a ralph loop, start an iterative loop, or wants repeated autonomous iteration on a task until completion.

Overview

Publisher	cursor
Repository	`plugins`
Skill name	`ralph-loop`
Stars	9.2K
Forks	863
Bundled files	Instructions only
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by cursor on GitHub. Read the source before you install it.

Installation

Install the Ralph Loop AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/cursor/plugins/tree/main/ralph-loop/skills/ralph-loop
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/cursor/plugins.git /tmp/plugins
mkdir -p .claude/skills
cp -r /tmp/plugins/ralph-loop/skills/ralph-loop .claude/skills/ralph-loop

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ralph Loop in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ralph Loop on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ralph Loop is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Ralph Loop

Trigger

The user wants to start a Ralph loop. An iterative development loop where the same prompt is fed back after every turn, and the agent sees its own previous work each iteration.

Workflow

Gather the user's task prompt and optional parameters:
- max_iterations (number, default 0 for unlimited)
- completion_promise (text, or "null" if not set)

Create the directory .cursor/ralph/ if it doesn't exist, then write the state file at .cursor/ralph/scratchpad.md with this exact format:

markdown
---
iteration: 1
max_iterations: <N or 0>
completion_promise: "<TEXT>" or null
---

<the user's task prompt goes here>

Example:

markdown
---
iteration: 1
max_iterations: 20
completion_promise: "COMPLETE"
---

Build a REST API for todos with CRUD operations, input validation, and tests.

Confirm to the user that the Ralph loop is active, then begin working on the task.
The stop hook automatically intercepts each turn end and feeds the same prompt back as a followup message. You will see it prefixed with [Ralph loop iteration N.].

Guardrails

If a completion promise is set, you may ONLY output <promise>TEXT</promise> when the statement is completely and genuinely true.
Do not output false promises to escape the loop.
Always recommend setting max_iterations as a safety net.
Quote the completion_promise value in the YAML frontmatter if it contains special characters.

Output

Confirm the loop is active (prompt, iteration limit, promise if set), then start working on the task immediately.

Frequently asked questions

What does the Ralph Loop AI skill do?

Start a Ralph Loop for iterative self-referential development. Use when the user asks to run a ralph loop, start an iterative loop, or wants repeated autonomous iteration on a task until completion.

Why use Ralph Loop on TypingMind?

Because you install it once and use it with any model. Ralph Loop is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ralph Loop in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cursor/plugins/tree/main/ralph-loop/skills/ralph-loop. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ralph Loop?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ralph Loop?

As many as you like. As long as a model supports skills, you can use Ralph Loop with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ralph Loop AI skill free?

It is published on GitHub by cursor. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Ralph Loop

Trigger

Workflow

Guardrails

Output

Frequently asked questions

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