agentleFS
sixtysevenlfsixtysevenlf/dsh-skill-blender-modeling/SKILL.md

blender-modeling

Skill21 starsChanged 40 days agoLicence not identifiedView on GitHub

Blender 建模流程与装配教程——先按决策树选形(分面硬表面 / 光滑硬表面 / 有机 / 重复阵列 / 布尔),再走流水线(冻结规格 → 场景准备 → Blockout → 粗形精修 → 修改器栈 → 清理 → 交接),配 24 个编号配方(含 2a/2b/3b/6b 变体;基本体 / 分面装甲板 / Bevel+SubSurf 光滑栈 / bmesh 编辑 / 布尔开孔 / 镜像 / Array 沿曲线 / 参数化销轴弦长节距阵列 / 装配审计门 / 固定机位对照验收 / 程序化雕刻 / 网格修复 / 打印检查 / 沿路径扫掠 / 人形素体 / 头型 / 车辆与参考图放样 / 照片校正 / 折线族拟合 / 特征线层 / 多步链 pipe_run / 参数搜索内环),覆盖六条必踩的坑(长轴·宽轴·薄轴语义、可视拼接用隐藏交叠并按项目 spec 复核而非固定倍数/不由可视脚本裁定结构连接、收尖压中线再合并、headless 慎用 bpy.ops、法线方向是一切穿模判据的前提、预览装置默认光照要看得清板缝),并含多 Agent 并行建模的分工范式(冻结 spec.py / 写作用域协议 / 接口表 / 隐藏交叠+复检 / 数值门装配审计 / 归属标签与可并行性判据)与参考图驱动的形体还原(三视图标定 + 双证据验收 + IoU 只是单视轮廓必要条件 / 单应只校正一个平面 / 跨深度误差按 Δz/(D+Δz) 算),以及交接前必跑清单与可复制的验收回执、参数块+生成脚本(generator_*)、本机 blender_rt_* 直连通道语义、参数搜索内环(`blender_rt_loop`:目标 + 区间 → 搜索,收敛后必须换通路复核),以及渲染/动画/长活的取景投影自检、可续跑长活、渲染耗时实测口径与 Blender 5.2 API 变更(§6.5)。用于「做一个 / 建一个 / 捏一个 3D 物体」「加个立方体 / 球 / 圆柱」「挤出 / 内插 / 倒角这个面」「加个修改器」「挖个洞」「做个剑 / 椅子 / 门」等几何创建与网格编辑请求,也用于「多个 agent 分工造一台机器」「按参考图还原外形 / 量比例」「装配体检:查穿模 / 浮空 / 按 spec 复核隐藏交叠量」等大件建模与装配任务。

6 other projects use a version of this.

Adopted by

Most recently taken up by

  • Other versions6 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 6

    1. poorvith-mp/skills-gamedev★ 4same name
    2. haw2fregel-lab/claude-in-blender★ 2same name
    3. TraX22/HydraOps-Skills★ 1same name
    4. hwy-miaomiao/blender-modeling★ 0same name
    5. keysforthewin/thisoffice★ 0same name
    6. robgallardof/blender-forge★ 0same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

The file

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.