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3d High Poly Models

CommunityPopular
MengTo
3d-high-poly-models

Create or integrate highly detailed 3D models with smooth silhouettes, shaped surfaces, believable bevels, and close-up geometry, then prepare suitable runtime LODs and loading. Use when a user requests high polygon counts, ultra-realistic models, detailed architectural assets, or removal of visibly faceted geometry.

Overview

PublisherMengTo
RepositorySkills
Skill name3d-high-poly-models
Stars
6.1K
Forks
717
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the 3d High Poly Models 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/MengTo/Skills.git /tmp/Skills
mkdir -p .claude/skills
cp -r /tmp/Skills/agent-skills/3d/3d-high-poly-models .claude/skills/3d-high-poly-models
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 3d High Poly Models 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 3d High Poly Models 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 3d High Poly Models 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.

3D High-Poly Models

Build the requested close-up detail into the model, then make it practical to render. Judge realism through silhouette, proportions, material response, and lighting as well as polygon count.

Establish what the camera needs

Inspect the reference, intended hero angle, closest approach, orbit range, model scale, current mesh, and target hardware. Record the current triangle count and draw calls rather than labeling an asset high-poly from appearance alone. Keep a high-detail source/master when building new geometry so runtime optimization remains reversible.

Separate detail into three scales:

  • Silhouette: outer contours, root flares, carved edges, folded fabric, roof curvature. Use geometry.
  • Surface form: bevels, dents, joints, raised seams, deep cracks. Use geometry or justified displacement when the view reveals parallax and shadow shape.
  • Microdetail: grain, pores, shallow scratches, fiber structure. Use material maps unless the extreme close-up actually resolves geometry.

Use the project's modeling tools or asset pipeline. Match real dimensions and proportions first, then add adaptive subdivisions, support topology, sculpting, or appropriately licensed scans. A dense mesh with incorrect proportions remains incorrect.

Model for believable close-ups

Give manufactured edges a plausible bevel so they catch highlights. Preserve designed hard edges while smoothing curved surfaces; do not smooth every normal or indiscriminately weld UV seams. Recompute or preserve normals/tangents according to the modeling/export pipeline.

Spend curve segments where projected curvature is visible. Increase them around hero rims, roof silhouettes, and tight bends; use fewer on tiny distant parts. Check subdivision boundaries for pinching and displacement for cracks or detached surfaces.

For procedural branches, sweep rings along a smooth curve, transport the local frame to avoid sudden twist, taper continuously, and bury child starts inside the parent surface. Add denser rings at a flared root or strong curvature. Seijaku's treeMesh is a useful example of adaptive radial/longitudinal detail rather than uniform subdivision.

For scanned stones, preserve the scan's characteristic proportions. Excessive nonuniform scaling stretches both shape and surface features. Reuse the mesh with limited variation in rotation, placement, and scale; keep the most recognizable hero forms distinct.

Prepare runtime versions

  1. Keep the authored master and export a validated runtime asset, usually glTF/GLB when the stack supports it. Check units, transforms, materials, UV seams, normals, and bounds in the actual viewer.
  2. Create lower-detail versions for distant use, preserving silhouette and baked shading. Derive thresholds from projected size and compare transitions from the real camera. Use hysteresis or an appropriate transition to avoid rapid LOD switching. See Three.js LOD.
  3. Instance repeated geometry/material pairs such as roof tiles, stones, or foliage where suitable. Partition large repeated fields spatially so one visible object does not force the whole site to draw.
  4. Keep shadow geometry and shadow distance proportional to visible benefit. A detailed object rendered in several shadow maps can cost far more than its beauty pass suggests.
  5. Compress geometry transport where supported, then validate decoded geometry and appearance. Compression reduces transfer size; it does not inherently reduce runtime triangle count. Treat quantization and simplification as distinct operations with separate visual checks.

There is no universal correct triangle budget. Profile the representative scene with its actual materials, lights, shadows, transparency, and target resolution. Report unique asset triangles separately from the triangles drawn across instances and passes. Geometry compression, instancing, and LOD solve different costs.

Avoid a startup stall

Load visible hero geometry first and defer optional interiors or distant detail. Generate procedural meshes offline or in bounded work, use workers where useful, and reuse buffers instead of regenerating identical parts. Keep a useful coarse representation until the detailed asset is ready. Prewarm shader variants with supported asynchronous compilation when it materially reduces first-use hitches.

For selection and collision, use suitable proxies or a spatial acceleration structure. Repeated full-resolution triangle scans during pointer movement can make a visually smooth scene feel unresponsive.

Verify

  • Compare the master and runtime mesh at the closest camera distance under neutral and final lighting.
  • Inspect silhouette, bevel highlights, seams, contacts, shadow shape, and wireframe density.
  • Walk across LOD thresholds and confirm there are no visible holes or distracting jumps.
  • Measure startup, first interaction, full-frame draw calls/triangles, and frame time on desktop and mobile.
  • Claim ultra-realistic appearance only when the rendered result supports it; record the measured geometry count separately.

Read REFERENCES.md for source and APIs. Seijaku combines detailed swept trunks and scanned rock geometry with inexpensive instanced leaf cards. Do not interpret its appearance as evidence that every object needs a dense mesh.

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 3d High Poly Models AI skill do?

Create or integrate highly detailed 3D models with smooth silhouettes, shaped surfaces, believable bevels, and close-up geometry, then prepare suitable runtime LODs and loading. Use when a user requests high polygon counts, ultra-realistic models, detailed architectural assets, or removal of visibly faceted geometry.

Why use 3d High Poly Models on TypingMind?

Because you install it once and use it with any model. 3d High Poly Models 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 3d High Poly Models in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MengTo/Skills/tree/main/agent-skills/3d/3d-high-poly-models. 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 3d High Poly Models?

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 3d High Poly Models?

As many as you like. As long as a model supports skills, you can use 3d High Poly Models with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 3d High Poly Models AI skill free?

Yes. It is published on GitHub by MengTo 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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