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Thorlabs Blender Optical Path Zh

Community
k-telux
thorlabs-blender-optical-path-zh

从测量需求、二维光路图和有来源记录的 CAD 设计新测量光路,或重建、审核、修订 Blender 光学平台。适用于高精度 optics-only 模型、Thorlabs 兼容光机件、光路拓扑、整机验证及具有明确物理证据范围的发表级渲染。

Overview

Publisherk-telux
RepositoryOpticalModeler
Skill namethorlabs-blender-optical-path-zh
Stars
136
Forks
1
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by k-telux on GitHub. Read the source before you install it.

Installation

Install the Thorlabs Blender Optical Path Zh 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.
    https://github.com/k-telux/OpticalModeler/tree/main/i18n/zh-CN
  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/k-telux/OpticalModeler.git /tmp/OpticalModeler
mkdir -p .claude/skills
cp -r /tmp/OpticalModeler/i18n/zh-CN .claude/skills/thorlabs-blender-optical-path-zh
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Thorlabs Blender Optical Path Zh 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 Thorlabs Blender Optical Path Zh 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 Thorlabs Blender Optical Path Zh 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.

OpticalModeler 2.0 — Thorlabs Blender 光路

把测量需求或二维示意图转换成可解释、可独立审计的 Blender 光学平台。

2.0 新增任务与交付边界

英文版为技术权威源。照片重建、固定端点/局部移动、端口与快门状态时读取照片重建与修订;材质、灯光、图片复用、交互打开状态与最终回复时读取展示与交付;实验室经验公开时读取发布隐私。六组完整中文交互展示需求、必要确认、用户否决/纠正、检查及最终产出;对话为教学改写,不是原始聊天或新增盲测。

  • 区分新测量设计、照片/图纸重建、受约束修订、展示副本和只读审核。新测量从空场景/新拓扑开始;用户明确要求保留的重建基线可在新 revision 只读复用。局部修订延续原谱系、输入锁和真实 pending 门,不伪造整机账本完成。
  • 分开实装/用户确认身份、厂家候选、拟装器件、geometry 来源、图纸/模型/现场尺寸与物理资格。真实 holder 不能证明未知 insert 的处方。
  • 几何前锁定完整 protected set、rigid 内部向量、固定上层完整位姿、镜数/顺序、水平段方向及可动自由度。“紧凑”不授权重排光路;用户意图独立于几何诊断验收。
  • 使用实际工作面中心/法线,整族移动包括其他 node 的脚/螺钉,并检查 changed-to-fixed/changed-to-changed。平台覆盖比较完整器件/支撑 footprint 与真实 plate projection,不只中心点。检查源板真实范围、孔相位、材料槽/多边形索引、宽承面与盲孔底;null 不当零 gap,有限接触不当 retention/preload/load 资格。
  • 未知内部传输保持功能黑箱;真实端口需要开孔,按准确配置区分选择输出和同时分光。每态刷新 evaluated transform/visibility,关闭时轴止于声明包络,拟装身份在图像/说明保持。
  • 展示在独立副本进行。保存后比较完整相关网格/拓扑、属性/法线、modifier、语义、槽位、可见性和状态;先查真实 shader 归属,必要时仅目标 object/slot 独立材质,保护光学/感光面。看实际成图和逐支路;在框内不等于无遮挡。实际 decode 核尺寸/位深。
  • 旧图复用保留原 producer 并有完整依赖保持桥接,不改 hash 冒充新渲染。Relight/recolor 的受影响视角需要新图。
  • 先用已有照片/证据,再问影响执行的关键问题。用户选择先交完整审阅候选时,完成 editable model、实际全路径图、观看指南与现场清单,明确未知。READY_FOR_USER_REVIEW 不等于物理 PASS。
  • 获授权并行时共享 writer 仍唯一。普通反馈合并到自然检查点/idle 队列,不反复打断进行中的 render。尊重明确资源停止点并保存可恢复状态;完成指定交付后停止可选修改。
  • 公开用稳定功能别名;关键型号、真实坐标/参数、实验室照片、私有模型、邮箱/session 信息和映射不入 Git。旧公开独立案例的厂家来源保持。私有词表留仓库外,配合可选 scanner 及实际视觉/容器检查验证最终候选。

最终可打开文件使用绝对路径 Markdown 可点击链接,必要时显示实际结果图。UI 验证需要完成任务后的截图、视觉识别与对应真实交互;不能捕获渲染后的回复窗口时报告 reply_visual_confirmation=incomplete。文档/软件发布可以总结有限结果,不增加新模型、实机性能或跨 run 资格信用。

英文版是技术权威源。涉及几何时读取 ../../skills/thorlabs-blender-optical-path/references/physical-gates.md;验收前读取 evidence-contract.md;修订旧场景时读取 history-derived-rules.md;完整案例见 project-case-study.md;整机运行前读取 end-to-end-workflow.md;多轮规模/发布资格测试读取 multi-run-qualification.md。

权威与版本

  1. 系统约束优先;随后是用户最新文字或标注截图、项目 active rules、本 skill,最后才是旧产物和旧 PASS。
  2. 冻结已提交或验收的包;在活动 revision 中集中处理相关纠正,不覆盖冻结证据,不为每张预览发布新版本。
  3. 整机保持一个 run ID、writer、revision、生成器/Blend 谱系和 workflow 账本;副 agent 默认只读,禁止拼接独立写入模块冒充整机完成。
  4. 把每个截图问题转换为对象族、世界坐标几何、数值门槛和必需证据。
  5. 无法证明时使用 UNVERIFIED 或 BLOCKED。文件存在、CAD 导入、进程成功、AABB 接触和自报文本都不是证据。

核心流程

先区分新测量设计、原图重建、既有场景修正与纯渲染。用户要求“参考旧示例的精度生成另一种光路”时,旧示例只作画质比较,需从空场景建立新拓扑、生成器与资产映射。optics-only 包含光学探测器和机械支撑,排除电路及电气/数据信号可视化。详细要求见新设计与渲染。

  1. 新整机 build 用 scripts/workflow_ledger.py 初始化 run spec、状态账本和事件哈希链;局部修订保留原谱系及未完成门的真实状态。
  2. 建立 schematic node -> 实验角色 -> 真实资产 -> 光/光纤/电端口 -> 支撑路径。
  3. 列出全部分支、器件、光束高度、孔径和探测终点。
  4. 只从 manifest 锁定的厂家 URL 把官方 CAD 下载到私有缓存;原子落盘前复核 bytes 与 SHA-256,并记录型号、来源、尺度、bbox、局部光轴、法向、孔径、provenance 和再分发边界。替代件必须明示;没有明确授权时禁止公开厂家几何。
  5. 把 source lock 与其全部哈希文件当作一个原子输入包;几何前运行 producer-to-consumer artifact preflight,确认 source bytes、CAD canonical/型号别名 key、官方图纸和 runtime 均位于下一脚本实际消费的路径。查找前先按强类型 exact-set 合同验证结构化 authority 输入;missing、duplicate、extra、legacy、malformed 或身份不一致必须生成可持久化的结构化 BLOCKED,不得异常退出或静默折叠重复项。
  6. 发布脚本必须重算同一语义锁且 difference paths 为零。多状态系统的每条 edge 必须有精确 active_states 或哈希化确定型展开,每个 state 都要有明确 ray template。
  7. 先解光心、镜面、分束面、反射和分支连续性。设计坐标与保存后重开的真实 mesh/port 测量必须分开;常量零误差和命中同名器件族不足以证明孔径及首碰撞。
  8. 再从真实桌孔向上按 post-first 构建紧固件、夹具、holder、post、mount 和器件。
  9. 修共享根因,在同一运行内先验一个代表件再传播;保存后重开并逐件复核。
  10. 先做明亮的机械/轴向/剖切审计图,再做 beauty render。
  11. README/GATE 计数必须来自机器证据;随后在同一账本完成重开、整机 ray/BVH、OpenCV、GLB 回导、二进制/PNG 元数据脱敏、manifest、hash 和全 active-rule 合规矩阵。

光束、柔性光纤和电缆必须是不同对象族,仅生成请求范围内的类别。孔径必须真实开放。删除重复 surrogate 和无角色 placeholder。低成本诊断预览可用于检查器件精度、可见光路与构图,注明尚未闭合的物理证据。物理合格声明须先过物理门;已授权的人工审阅/展示包可在未知明确、physical=false 时完成。保留材质槽与多边形索引语义,逐器件近景和逐分支检查;全图清晰度、边缘密度、颜色像素数不能单独证明建模精度或光束连续。实际 2K 图不能满足 4K 交付要求。

达到用户要求与硬门槛后冻结一次交付;只公开另行授权的范围,只在输入、依赖、runtime 变化或检查失败时复验受影响部分。Skill 文档更新可以记录未通过模型的经验,不能转移模型发布信用。案例数值阈值不得直接成为通用标准。

状态:PASS 表示所有适用规则有新鲜证据;PARTIAL/SCOPED 只代表局部,必须列出 blocker 且 final/release 保持 false;UNVERIFIED 表示证据不足;BLOCKED 表示已知失败。禁止把脱敏通过、局部通过或 CAD 导入成功写成整机最终通过。

Frequently asked questions

What does the Thorlabs Blender Optical Path Zh AI skill do?

从测量需求、二维光路图和有来源记录的 CAD 设计新测量光路,或重建、审核、修订 Blender 光学平台。适用于高精度 optics-only 模型、Thorlabs 兼容光机件、光路拓扑、整机验证及具有明确物理证据范围的发表级渲染。

Why use Thorlabs Blender Optical Path Zh on TypingMind?

Because you install it once and use it with any model. Thorlabs Blender Optical Path Zh 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 Thorlabs Blender Optical Path Zh in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/k-telux/OpticalModeler/tree/main/i18n/zh-CN. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Thorlabs Blender Optical Path Zh?

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 Thorlabs Blender Optical Path Zh?

As many as you like. As long as a model supports skills, you can use Thorlabs Blender Optical Path Zh with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Thorlabs Blender Optical Path Zh AI skill free?

Yes. It is published on GitHub by k-telux 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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