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Dream Loop

CommunityPopular
achimala
dream-loop

Build a game or app from a description so that a live screenshot matches a generated rendering. Use when the user says "dream loop" or asks for something built to a very high level of graphical fidelity.

Overview

Publisherachimala
Repositorydream-loop
Skill namedream-loop
Stars
1.4K
Forks
153
Bundled files
9
LicenseMIT
Links
  • 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.

  • 9 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by achimala on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/achimala/dream-loop.git \
  .claude/skills/dream-loop
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dream 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 Dream 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 Dream 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.

dream-loop

This is a process for you to autonomously build extremely impressive visuals, especially for 3D scenes (e.g. in a game or app).

Your first step is to determine which workflow to use:

  • If the user told you to use the Plus or Pro workflow explicitly, that's your answer
  • If not, check if the user is on a low or high tier coding subscription. "Low tier" means ChatGPT Plus or equivalent. "High tier" means ChatGPT Pro. For low-tier subscriptions, use the Plus workflow. For high-tier, use the Pro workflow.

Plus workflow: read references/plus-mode/workflow.md

Pro workflow: read references/pro-mode/workflow.md

Do not read both documents. They are not inter-compatible.

Guidance applicable to both workflows

General

Create and use a .dream-loop folder for working context/files, and gitignore it.

The target image

The key piece of Dream Loop is to first create the "dream version" of the user request using image generation, then iterate to build it.

If the user supplies this, use that directly. If not, you need to generate it.

If you don't have an image generation tool, stop and ask the user to either provide the target image, or connect you to an image generation API.

Before generating the image, determine if there is an existing product or if you're starting fresh. If fresh, you can directly generate a new image. If there's an existing product, you should capture a screenshot of the current version of it, then use that as the baseline input to the image model and generate a refined version of it based on the user direction, so that it is an improvement over the original and not a divergence.

When generating images, avoid using words like "concept art" in the prompt. This is not an artist's interpretation. It is meant to be an exact, realistic target screenshot. You will try to match it down to the pixel. For example, if the user is asking you to make a game, you should prompt the image model for a real in-engine screenshot of the target. Not a cinematic shot, photo, painting, artist concept, etc.

Store the image in .dream-loop/target.png.

Time budget

If the user gives a time budget, record the time at start of the loop (after locking target.png), and check the clock between rounds.

Don't degrade visual fidelity to hit the time budget. Don't take shortcuts. It's better to hit the time limit with meaningful, beautiful progress than with something roughly complete but ugly.

If the user doesn't give a time budget, run until you hit an exit criterion, but warn that this may consume a lot of tokens.

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 Dream Loop AI skill do?

Build a game or app from a description so that a live screenshot matches a generated rendering. Use when the user says "dream loop" or asks for something built to a very high level of graphical fidelity.

Why use Dream Loop on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/achimala/dream-loop/tree/main. 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 Dream 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 Dream Loop?

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

Is the Dream Loop AI skill free?

Yes. It is published on GitHub by achimala 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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