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Machine Learning
Skill

/model-architecture-diagram

Return public original model architecture diagrams for user-specified LLM, VLM, MoE, diffusion, OCR, and SGLang/sgl-cookbook model families. Use when the user asks for a model structure chart, architecture diagram, or rendered image link for a specific model such as DeepSeek,

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ai-infra-auto-driven-skills
97711 skills
Install
$ npx -y skills add BBuf/AI-Infra-Auto-Driven-SKILLS --skill model-architecture-diagram --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/model-architecture-diagram

Context preview

The summary Claude sees to decide when to auto-load this skill.

Return public original model architecture diagrams for user-specified LLM, VLM, MoE, diffusion, OCR, and SGLang/sgl-cookbook model families. Use when the user asks for a model structure chart, architecture diagram, or rendered image link for a specific model such as DeepSeek,

SKILL.md

model-architecture-diagram.SKILL.md
name: model-architecture-diagram
description: Return public original model architecture diagrams for user-specified LLM, VLM, MoE, diffusion, OCR, and SGLang/sgl-cookbook model families. Use when the user asks for a model structure chart, architecture diagram, or rendered image link for a specific model such as DeepSeek, GLM, Qwen, Kimi, MiniMax, Step, Hunyuan, or Qwen3-VL.

Model Architecture Diagram

Workflow

Return only public original diagrams indexed by this skill.

1. Run the bundled resolver:

python3 skills/model-architecture-diagram/scripts/model_architecture_diagram.py "<model name>"

2. If the resolver returns `kind: existing`, return the raw image Markdown it prints and preserve the source attribution line. 3. If the resolver returns `kind: no_match`, tell the user that no public original architecture diagram is indexed for that model.

Source Priority

Use `references/diagram-index.json` as the source of truth. It stores raw GitHub image URLs and official vendor/CDN or pinned Hugging Face `resolve/<sha>` URLs. Official sources include Qwen and XiaomiMiMo; GitHub sources:

  • `datawhalechina/self-llm`
  • `CalvinXKY/InfraTech`
  • `Tongyi-MAI/Z-Image`
  • `Wan-Video/Wan2.1`
  • `Wan-Video/Wan2.2`
  • `Tencent-Hunyuan/HunyuanVideo`
  • `Tencent-Hunyuan/Hunyuan3D-2`
  • `brayevalerien/Flux.1-Architecture-Diagram`

Prefer detailed implementation, cookbook, or architecture-card diagrams over paper figures. Good sources show module boundaries, dataflow, MoE / attention / cache paths, or model-specific runtime structure rather than only a high-level paper overview. Official repository diagrams and curated implementation diagrams are first choice; paper figures are fallback only when no more detailed public original diagram is indexed.

Do not copy remote image binaries into the skill. Return the indexed original URLs so the chat renderer can display the original image.

Existing Diagram Rule

For a direct match, show the original image. Good direct matches include:

  • DeepSeek V3/V3.2/V4, GLM-5, Kimi K2/K2.5/K3, MiniMax M2.5, Qwen3.5, Qwen3-VL, and Step 3.5 Flash from InfraTech.
  • Qwen3.8-Flash-Next has an official diagram (also named `qwen4_exp` in runtime code). Plain Qwen3.8 2.4T remains `no_match`; these are different architectures.
  • MiMo V2.6, MiMo V2.5 Pro and GLM-5.2 have indexed originals. GLM-5.3 remains `no_match` because no direct diagram was verified.
  • Hunyuan-A13B, Kimi-VL, Qwen3, Qwen3-VL detail flows, MiniMax M2, and Llama 4 architecture/module diagrams from self-llm.
  • Z-Image, Wan2.1, Wan2.2, HunyuanVideo, Hunyuan3D 2.0, and FLUX.1 diffusion architecture/module diagrams from public GitHub sources.

If multiple diagrams match, show all high-confidence matches up to the resolver's default limit. For example, DeepSeek V3 may return the full architecture plus MLA MHA/MQA diagrams.

Hosted Original Diagram Gallery

Do not commit the `sgl-cookbook-model-architecture-images/` gallery into the repository. The public-original image set is hosted as a GitHub Release asset and indexed by a GitHub issue.

Current hosted artifact:

  • Issue index: https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS/issues/31
  • Release page: https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS/releases/tag/sgl-cookbook-architecture-images-2026-05-02
  • Zip download: https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS/releases/download/sgl-cookbook-architecture-images-2026-05-02/sgl-cookbook-model-architecture-images-2026-05-02.zip
  • Digest: `sha256:ea432081849a250429d3d1ecf246e267c5cc42f989aaf4b9ca695b581e7fa50f`

The gallery is a 2026-05-02 snapshot containing 44 public original diagram image files; it does not mirror the current index, plus a lightweight `index.html`, `index.md`, `manifest.json`, HTML contact sheet, and `architecture-audit.md`.

To inspect the gallery locally:

curl -L -o /tmp/sgl-cookbook-model-architecture-images-2026-05-02.zip \
  https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS/releases/download/sgl-cookbook-architecture-images-2026-05-02/sgl-cookbook-model-architecture-images-2026-05-02.zip
unzip -q /tmp/sgl-cookbook-model-architecture-images-2026-05-02.zip -d /tmp
open /tmp/sgl-cookbook-model-architecture-images/index.html

Useful Commands

List known original diagram aliases:

python3 skills/model-architecture-diagram/scripts/model_architecture_diagram.py --list-known

Emit JSON for automation:

python3 skills/model-architecture-diagram/scripts/model_architecture_diagram.py "GLM-5" --format json

References

  • `references/diagram-index.json`: original diagram link index and aliases.
  • `references/source-notes.md`: audited source repositories and local cache paths.
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Ships withai-infra-auto-driven-skills

**Agent-ready skills for LLM serving benchmarks, profiler triage, capacity planning, model Day-0 support, code review, incident triage, and model PR history across SGLang, vLLM, TensorRT-LLM, and TokenSpeed — plus SGLang PR and article explainer videos.**

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