3D Scene Loop
Build 3D scenes through a concept-art fidelity loop.
Install
npx skills add NousResearch/hermes-agent --skill dream-loop -g -a claude-code -y- Repository
- NousResearch/hermes-agent259k
- Category
- Design
- Updated
- 3d ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
Build stunning 3D scenes via a concept-art fidelity loop.
Dream Loop Skill
An autonomous process for building extremely impressive visuals, especially 3D scenes (games, apps, usually browser three.js/WebGL): generate photorealistic concept art of the ideal result, build it, screenshot the live build, have a judge score screenshot vs concept against a gated ladder, and iterate until convergence. Goal: the most visually stunning result at an acceptable frame rate for the target platform (e.g. 60 fps browser, 120 fps modern mobile).
This skill does NOT cover general web-app functionality, 2D UI design, or non-visual quality, only the visual-fidelity loop.
When to Use
- User says "dream loop" or asks for a game/scene/app built to a very high level of graphical fidelity.
- Follow-up refinement passes on an existing visual product (see Follow-up loops below).
Prerequisites
- Concept art: the
image_generatetool. If unavailable, stop and ask the user for a concept image (or an image-generation API to connect to). - Screenshots:
browser_exec, serve the build locally (python3 -m http.serverfor static builds), thennew_tab(url),wait_for_load(),capture_screenshot(). - Judging:
vision_analyze(see Judge section for the one-image-per-call workaround). - Optional: Blender for asset modeling, see the
blender-3d-automationskill.delegate_taskfor parallel asset work and fresh-context judging.
If you don't have the tools needed for the full loop, flag that to the user early and stop.


