Token导航 LogoToken导航TokenDH.com
效率只读clawhub未标认证来源可访问clear审计通过

blender-asset-generator搅拌机资产生成器

Agent Skill

blender-asset-generator 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,791

周安装

114

GitHub Stars

公开资料未说明

下载量

903
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:blender-asset-generator(搅拌机资产生成器)
来源仓库:https://github.com/yamasite/blender-asset-generator
安装命令:
openclaw skills install blender-asset-generator
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install blender-asset-generator

简介

blender-asset-generator 用于辅助前端页面和组件开发,适合维护前端项目时使用。

  • 通过 Blender 脚本生成电子商务、游戏或教学类 3D 资产,支持云和本地环境。
  • 通过 clawhub 安装并使用 openclaw skills install blender-asset-generator 命令部署。
  • 需确认权限范围、维护状态及是否触发联网、命令执行或文件读写。
  • 建议结合原始 README 和来源仓库进一步验证具体用法和功能边界。

SKILL.md

name
blender-asset-generator
description
Generates ecommerce/game/teaching 3D assets via Blender scripts (Blender 4.2+ including 5.x). Supports cloud Windows and local machines; reference-image guided workflow with graceful degradation when vision is unavailable.

Blender Asset Generator (Blender 4.2+ / 5.x)

This Skill generates a reproducible asset project that can be executed in:

  • Cloud PC (Windows) as the primary runtime
  • Local computer (Windows or macOS) as an alternative runtime

The Skill outputs:

  • A structured spec (spec.json) describing the asset
  • Executable Blender Python scripts (scripts/*.py) using bpy
  • Run scripts for Windows/macOS
  • Export artifacts: GLB (required), FBX (optional), USDC (optional), plus preview renders

Quick Start

  1. Choose a mode:

- Text-only Mode (no image or no vision): fast and deterministic - Vision-assisted Mode (reference images + multimodal model): extract structure/dimensions from images, then confirm with user

  1. Provide input:

- Required: object name + use case (ecommerce / game / teaching) + desired output formats (GLB required, FBX optional) - Optional: target size (at least one anchor dimension), poly budget, material style, reference images

  1. The Skill will:

- Normalize input into spec.json - Generate scripts/build.py, scripts/render.py, scripts/export.py (or update them) - Provide Cloud (Windows) and Local (Windows/macOS) run commands - Generate a QA checklist and a final evaluation

Input Template

Blender Version: 4.2+ (supports 4.2 and 5.x)
Primary Runtime: Cloud PC (Windows)
Output Priority: GLB required; FBX optional
USD: USDC optional (via file extension)

Use Case: ecommerce | game | teaching
Asset Name:
Asset Category: (e.g., bottle / lunch box / hanger / simple prop / teaching diagram)

Text Description (required):
- What it is:
- Key parts/components:
- Material style (optional): plastic/metal/glass/wood/fabric
- Target realism: low/medium/high

Dimensions (recommended):
- Provide at least ONE anchor dimension, e.g. height=240mm
- If unknown: provide category-typical size OR accept default size

Constraints (optional):
- Poly budget (triangles):
- UV: required | optional | no
- Texture placeholders: yes | no
- Naming convention: (optional)

Reference Images (optional):
- Attach images (front/side/top) if available
- If images are provided, say whether there is a scale reference in the image:
  - e.g. A4 paper / coin / ruler / hand / known product standard size

References

Read these as needed:

  • Workflow: references/workflow.md
  • Ecommerce reference-image template: references/ecommerce-reference-guided-template.md
  • Degradation strategy (no vision available): references/degradation-strategy.md
  • QA checklist: references/qa-checklist.md
  • Presets (common defaults): references/presets.md

Output Contract

Always output in this structure:

  1. Project Package

- File tree (what to create/update) - spec.json (final)

  1. Run Instructions

- Cloud PC (Windows) command(s) - Local (Windows) command(s) - Local (macOS) command(s)

  1. Expected Artifacts

- scene.blend - exports/*.glb (required) - exports/*.fbx (optional) - renders/*.png (required: at least 2 views) - run-log.txt (required)

  1. QA + Evaluation

- Checklist results - Verdict: Achieved | Partially Achieved | Not Achieved - Top fixes

Behavior Rules

  • Determinism: prefer parametric geometry and explicit settings; avoid random seeds unless user asks.
  • Evidence: do not invent certifications/performance claims; in 3D context, do not assume hidden dimensions from a single photo.
  • Reference images:

- If a multimodal model is available, extract a *draft* structure card and dimension hypotheses, then ask for confirmation of at least one anchor dimension. - If vision is NOT available, never block the workflow. Use Text-only Mode + ask for a minimal clarification form (see references/degradation-strategy.md).

  • Units: default to millimeters in the spec; enforce unit conversion in scripts.
  • Exports: always export GLB; export FBX only when requested.

Assets (Project Skeleton)

Use the project skeleton to generate a runnable folder:

  • assets/project-skeleton/spec.schema.json
  • assets/project-skeleton/spec.example.json
  • assets/project-skeleton/scripts/build.py
  • assets/project-skeleton/scripts/render.py
  • assets/project-skeleton/scripts/export.py
  • assets/project-skeleton/run_local_windows.ps1
  • assets/project-skeleton/run_local_macos.sh
  • assets/project-skeleton/run_cloud_windows.ps1

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

98.82%
按下载量换算892

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills