Ralph Json Start Loop

Community

richtabor

ralph-json-start-loop

Runs the Ralph autonomous loop. Executes stories from prds/*.json using git worktrees.

Overview

Publisher	richtabor
Repository	`agent-skills`
Skill name	`ralph-json-start-loop`
Stars	70
Forks	11
Bundled files	2
Links	Skill source Repository Homepage

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.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by richtabor on GitHub. Read the source before you install it.

Installation

Install the Ralph Json Start 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.
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/richtabor/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/skills/ralph-json-start-loop .claude/skills/ralph-json-start-loop

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

Use it in TypingMind

Enable Ralph Json Start 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 Json Start 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 Json Start 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

Run the autonomous loop to execute features from prds/ directory.

Usage


/ralph              # Run next available project (respects dependencies)
/ralph 25           # Run with 25 iterations
/ralph auth-flow    # Run specific project

Process

Run the loop script in background mode:

bash
~/.claude/skills/ralph/ralph.sh [iterations] [project-name]

Use run_in_background: true to prevent timeout. After starting, tell the user to check progress with tail -f <worktree>/.ralph-progress.txt.

What It Does

Shows dependency graph, finds next available project
Creates git worktree at ../{repo}-{feature}/
For each iteration:
- Picks first story where passes: false
- Implements it, runs quality checks
- Commits: feat: [id] - [title]
- Updates JSON, syncs back to main repo
When all stories pass, outputs <promise>COMPLETE</promise>

Dependencies

Ralph reads dependsOn from each PRD and enforces ordering:

json
{
  "projectName": "Dashboard",
  "dependsOn": ["auth-flow", "user-profile"]
}

Projects with incomplete dependencies are blocked. Ralph picks the first ready project alphabetically.

Prerequisites

At least one .json PRD file in .claude/plans/, plans/, or prds/
Use plan mode to create a plan, then run /ralph-json-create-issues to convert it

Notes

Run multiple Ralphs in parallel on independent projects (separate terminals)
Each works in its own worktree, no conflicts

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

ralph.sh12 KB
references/prompt.md4 KB

Frequently asked questions

What does the Ralph Json Start Loop AI skill do?

Runs the Ralph autonomous loop. Executes stories from prds/*.json using git worktrees.

Why use Ralph Json Start Loop on TypingMind?

Because you install it once and use it with any model. Ralph Json Start 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 Json Start Loop in TypingMind?

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

Which AI models can use Ralph Json Start 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 Json Start Loop?

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

Is the Ralph Json Start Loop AI skill free?

It is published on GitHub by richtabor. 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

Usage

Process

What It Does

Dependencies

Prerequisites

Notes

Bundled files

Frequently asked questions

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