Re0 Loop

CommunityPopular

LilMGenius

re0-loop

Run repeated build -> QA -> re0-memo -> re0-work cycles while preserving learning and letting code die. Use for long agentic projects where progress must be measured by quality-cleared templates, reusable modules, and eliminated anti-patterns rather than hours spent or features accumulated.

Overview

Publisher	LilMGenius
Repository	`paperthin`
Skill name	`re0-loop`
Stars	1.3K
Forks	118
Bundled files	Instructions only
License	MIT
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by LilMGenius on GitHub. Read the source before you install it.

Installation

Install the Re0 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/LilMGenius/paperthin/tree/main/skills/coil/re0-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/LilMGenius/paperthin.git /tmp/paperthin
mkdir -p .claude/skills
cp -r /tmp/paperthin/skills/coil/re0-loop .claude/skills/re0-loop

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

Use it in TypingMind

Enable Re0 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 Re0 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 Re0 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.

Run the cycle so learning compounds and code accumulation does not masquerade as progress.

Goal

re0-loop keeps a project moving through repeated turns:

text
FRAME -> BUILD -> DRIVE -> RE0-MEMO -> HATE -> RE0-WORK -> BUILD AGAIN

The unit of progress is not hours, files, panels, or features. It is the count of quality-cleared templates, reusable platform modules, and anti-patterns eliminated in later cycles.

Workflow

Frame the thesis and quality gates.
Build one complete vertical slice.
Drive it through the real surface: browser for web apps, HTTP for API contracts, computer-use for desktop apps, and CLI only for data-shaped artifacts.
Run re0-memo to extract lessons, anti-patterns, and next-cycle gates.
Decide whether the next pass iterates in place or uses re0-work; when that call or the next move is unclear, nba reads the cycle state and returns the single next action.
Kill the next plan before build: use the project's adversarial review skill or a human-invoked attack when that skill is user-only.
Version only templates or modules that clear their gates.

Rules

Tests are supporting evidence, not the gate; every turn needs a real-surface proof sized to the artifact.
Do not widen before the core loop clears.
Do not confuse generated variety with structural variety. If many outputs converge to the same shape, the cycle failed the variety gate.
Preserve negative corpus so later cycles can prove the same anti-pattern is gone.
Let code die. A restart that preserves the right lessons is progress.
Stop a lap when no outside truth enters; add evidence before another internal pass.

Verification

Before finishing a lap:

The real surface was driven and evidence was captured.
The re0-memo names at least one lesson, anti-pattern, or gate that affects the next pass.
The keep/iterate/re0-work decision is explicit.
Any version label belongs only to a quality-cleared template or module.

Frequently asked questions

What does the Re0 Loop AI skill do?

Why use Re0 Loop on TypingMind?

Because you install it once and use it with any model. Re0 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 Re0 Loop in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LilMGenius/paperthin/tree/main/skills/coil/re0-loop. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Re0 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 Re0 Loop?

As many as you like. As long as a model supports skills, you can use Re0 Loop with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Re0 Loop AI skill free?

Yes. It is published on GitHub by LilMGenius 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

Goal

Workflow

Rules

Verification

Frequently asked questions

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