dream-loop

Install

npx skillfoxx add skills/dream-loop

npx skills add achimala/dream-loop --skill dream-loop -a claude-code -y

npx skills add achimala/dream-loop --skill dream-loop -a cursor -y

npx skills add achimala/dream-loop --skill dream-loop -a github-copilot -y

npx skills add achimala/dream-loop --skill dream-loop -a codex -y

npx skills add achimala/dream-loop --skill dream-loop -a gemini-cli -y

npx skills add achimala/dream-loop --skill dream-loop -a cline -y

npx skills add achimala/dream-loop --skill dream-loop -a roo -y

npx skills add achimala/dream-loop --skill dream-loop -a opencode -y

npx skills add achimala/dream-loop

This is third-party code. Review the repository files before installing.

What it does

The skill gives the agent a closed loop for building games, apps and especially 3D scenes to a high visual bar. First the agent generates a target frame via image generation, then builds the project aiming at that frame. A separate critic subagent compares the live screenshot to the target and returns feedback; the agent rebuilds until the critic is satisfied, and can raise the bar by regenerating the target. It has Plus and Pro modes for different subscription tiers, Blender work via MCP or scripting, and batch generation through the fal service. It ships batch-generation scripts and a local preview server.

Who it is for. For developers and designers who want a high visual bar in games, demos and apps.

Example request

Build a Three.js graphics demo: isometric camera, voxel style with realistic lighting, a living scene, one hour time limit

Limitations

It needs an agent with image generation, built-in or via API such as a Gemini key, with image input and preferably subagents. It was mainly verified with GPT-6 Astra in Codex; other strong models are said to likely work but are not guaranteed. Custom 3D modeling needs Blender. The loop can run long and spend many tokens, and quality depends on the connected generation model.

How to disable. Remove the dream-loop folder from the agent's skills directory. The loop's working files live in the project's .dream-loop folder, which you can delete separately.

Security check

• The agent autonomously writes and runs code and starts a local preview server
• It uses external image generation and can spend many tokens

README in short

The README describes dream-loop as a closed loop: the agent dreams up a target screenshot via image generation, builds the project toward it, a separate critic compares the live frame to the target and gives feedback, and this repeats until they match. Install via npx skills add or by copying into the skills directory. It needs image generation, image input and preferably subagents, plus Blender for 3D modeling. It notes the main testing was with GPT-6 Astra in Codex and gives a live demo example. MIT license.

SKILL.md

---
name: dream-loop
description: 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.
license: MIT
---

# 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](references/plus-mode/workflow.md)

Pro workflow: read [references/pro-mode/workflow.md](references/pro-mode/workflow.md)

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

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