Ralph Hats

CommunityPopular

mikeyobrien

ralph-hats

Create, inspect, validate, explain, and improve Ralph hat collections. Use this skill whenever the user asks to make or refine a `.ralph/hats/*.yml` workflow, debug hat routing, explain event topology, or tune a multi-hat Ralph run.

Overview

Publisher	mikeyobrien
Repository	`ralph-orchestrator`
Skill name	`ralph-hats`
Stars	3.2K
Forks	299
Bundled files	4
License	MIT
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.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by mikeyobrien on GitHub. Read the source before you install it.

Installation

Install the Ralph Hats 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/mikeyobrien/ralph-orchestrator/tree/main/skills/ralph-hats
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/mikeyobrien/ralph-orchestrator.git /tmp/ralph-orchestrator
mkdir -p .claude/skills
cp -r /tmp/ralph-orchestrator/skills/ralph-hats .claude/skills/ralph-hats

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

Use it in TypingMind

Enable Ralph Hats 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 Hats 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 Hats 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 Hats

Use this skill to operate the full Ralph hat lifecycle for user-authored hat collections.

Use This Skill For

Creating a new hat collection in .ralph/hats/
Inspecting an existing hat collection and explaining its topology
Validating trigger routing, event flow, and completion behavior
Improving or refactoring hats for clearer roles and safer routing
Recommending better orchestration patterns for a Ralph workflow

Core Assumptions

Core runtime config already lives in ralph.yml or another -c source.
User-authored hats are stored separately and passed with -H.
This skill operates public hat collections, not Ralph built-in presets.

Workflow

If a hats file already exists, read it first and explain the current topology before proposing changes.
If creating a new workflow, write it to .ralph/hats/<name>.yml.
Keep the hats file focused on hats-only data. Leave runtime limits and other core config in the main config file.
Validate with ralph hats validate.
Visualize topology with ralph hats graph when the event flow is not trivial.
Use ralph hats show <hat> when you need to inspect one hat's effective configuration.
When the user wants stronger confidence, run a targeted ralph run -c ... -H ... -p "..." exercise or provide the exact test command.

Guardrails

Only use hats-file top-level keys that Ralph accepts today: name, description, events, event_loop, hats.
In a hats file, event_loop is only for hats overlay keys such as starting_event and completion_promise.
Never use task.start or task.resume as hat triggers. Ralph reserves those for coordination. Use semantic delegated events like work.start, review.start, or research.start.
Each trigger must route to exactly one hat.
Keep description populated on every hat.
Prefer events: metadata when custom event names would otherwise be opaque.
Do not write user workflows into presets/ from this skill.

Output Expectations

When editing or creating hats, produce the file changes and the validation result.
When only inspecting, produce a concise topology summary, the main risks, and concrete improvement options.

Read These References When Needed

For current hats schema and supported fields: references/schema.md
For command recipes and validation workflow: references/commands.md
For pattern and file examples: references/examples.md

Bundled files

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

Frequently asked questions

What does the Ralph Hats AI skill do?

Why use Ralph Hats on TypingMind?

Because you install it once and use it with any model. Ralph Hats 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 Hats in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mikeyobrien/ralph-orchestrator/tree/main/skills/ralph-hats. 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 Hats?

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 Hats?

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

Is the Ralph Hats AI skill free?

Yes. It is published on GitHub by mikeyobrien under the MIT license. 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 Hats

Use This Skill For

Core Assumptions

Workflow

Guardrails

Output Expectations

Read These References When Needed

Bundled files

Frequently asked questions

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