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Agent skill

Model Architecture Diagram Finder

by BBuf in BBuf/AI-Infra-Auto-Driven-SKILLS

Looks up public original architecture diagrams for named LLM, vision-language, MoE, diffusion and OCR models and returns the image with its source attribution.

No licenceAuto-check passedAI & LLM Engineering

Install Model Architecture Diagram Finder

skills CLI
$ npx skills add BBuf/AI-Infra-Auto-Driven-SKILLS --skill model-architecture-diagram -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install BBuf/AI-Infra-Auto-Driven-SKILLS model-architecture-diagram --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/model-architecture-diagram .claude/skills/model-architecture-diagram && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
model-architecture-diagram
GitHub stars
938
Token cost
~1.2k tokens
SKILL.md length
410 words
Files
4 (incl. scripts, references)
Skills in repo
10
Repo updated
First seen
Licence
None found

At a glance

Looks up public original architecture diagrams for named LLM, vision-language, MoE, diffusion and OCR models and returns the image with its source attribution.

  • Works in 3 steps: Run the bundled resolver → If the resolver returns kind: existing,… → If the resolver returns kind: no_match,…
  • Asking for the architecture chart of a specific LLM or vision-language model
  • SKILL.md covers Workflow, Source Priority, Existing Diagram Rule and Hosted Original Diagram Gallery, plus 2 more sections
  • Runs Python scripts from its folder; calls python3 and curl

What it does

Given a model name, the agent runs the bundled `model_architecture_diagram.py` resolver against an index in `references/diagram-index.json`. If the resolver finds a match, the agent returns the raw image Markdown it prints and keeps the source attribution line; if there is no match, it says plainly that no public original diagram is indexed for that model. It does not draw new diagrams or copy image files.

The index points to raw GitHub image URLs, official vendor or CDN images and pinned Hugging Face files, with detailed implementation or architecture-card diagrams preferred over high-level paper figures. Indexed examples include the DeepSeek, GLM, Kimi, MiniMax, Qwen, Step and Hunyuan families, Llama 4 and diffusion models such as Wan and FLUX.1. When several diagrams match a model, it shows the high-confidence ones up to the resolver's limit.

When your agent uses it

  • Asking for the architecture chart of a specific LLM or vision-language model
  • Getting an image link for a MoE or diffusion model's structure
  • Checking whether a public original diagram exists for a model family

Example prompts

  • “Show me the architecture diagram for DeepSeek V3.”
  • “Is there an official structure chart for Qwen3-VL?”
  • “Find the model diagram for Wan2.2 and link the original image.”

Requirements

  • Python 3 to run the resolver script

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Run the bundled resolver
  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.

What it can do on your machine

Read from SKILL.md and the folder at commit 6dc9c66. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Model Architecture Diagram Finder loads about 1.2k tokens when it runs, and up to ~7.6k if it reads all its reference files. Until then it costs about 89 tokens; SKILL.md has 410 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 410 words (~1,184 tokens).

“Return only public original diagrams indexed by this skill.”

— opening of SKILL.md by BBuf
name
model-architecture-diagram

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (scripts, references) in skills/model-architecture-diagram of BBuf/AI-Infra-Auto-Driven-SKILLS.

  • SKILL.md
  • references/diagram-index.json
  • references/source-notes.md
  • scripts/model_architecture_diagram.py

Open the folder on GitHubat commit 6dc9c66

Compare with similar skills

Model Architecture Diagram Finder next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Model Architecture Diagram Finder compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Model Architecture Diagram Finder this skillBBuf/AI-Infra-Auto-Driven-SKILLS938—~1.2kAutomated safety check: PassNone
LLM Council on Fireworks AIdair-ai/dair-academy-plugins614—~5kAutomated safety check: NotesMIT
slime RL Post-TrainingOrchestra-Research/AI-Research-SKILLs13k4 repos~2.8kAutomated safety check: PassMIT
Update Ollama Cloud Modelsheypinchy/pinchy182—~3.9kAutomated safety check: NotesAGPL-3.0
Vllm Daily PR Issue Trackerascend-ai-coding/awesome-ascend-skills174—~731Automated safety check: PassNone
Subagentethanhq/cc-fleet216—~4.9kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Model Architecture Diagram Finder

What does Model Architecture Diagram Finder do?

Looks up public original architecture diagrams for named LLM, vision-language, MoE, diffusion and OCR models and returns the image with its source attribution. json`. If the resolver finds a match, the agent returns the raw image Markdown it prints and keeps the source attribution line; if there is no match, it says plainly that no public original diagram is indexed for that model.

When should I use Model Architecture Diagram Finder?

Model Architecture Diagram Finder fits situations like: asking for the architecture chart of a specific LLM or vision-language model; getting an image link for a MoE or diffusion model's structure; checking whether a public original diagram exists for a model family.

How do I install Model Architecture Diagram Finder in Claude Code?

Run `npx skills add BBuf/AI-Infra-Auto-Driven-SKILLS --skill model-architecture-diagram -a claude-code`. Or copy the skill folder (skills/model-architecture-diagram in BBuf/AI-Infra-Auto-Driven-SKILLS) into .claude/skills/model-architecture-diagram in your project. Claude Code loads it when a task matches its description.

How do I install Model Architecture Diagram Finder in Codex?

Run `npx skills add BBuf/AI-Infra-Auto-Driven-SKILLS --skill model-architecture-diagram -a codex`. Or copy the skill folder (skills/model-architecture-diagram in BBuf/AI-Infra-Auto-Driven-SKILLS) into .agents/skills/model-architecture-diagram in your project. Codex loads it when a task matches its description.

Can I use Model Architecture Diagram Finder in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add BBuf/AI-Infra-Auto-Driven-SKILLS --skill model-architecture-diagram -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/model-architecture-diagram, .gemini/skills/model-architecture-diagram, .github/skills/model-architecture-diagram and .opencode/skills/model-architecture-diagram in your project.

What does Model Architecture Diagram Finder need to run?

Going by SKILL.md and its folder, Model Architecture Diagram Finder needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and curl). Our summary lists: Python 3 to run the resolver script.

Does Model Architecture Diagram Finder access the network?

SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Model Architecture Diagram Finder safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Model Architecture Diagram Finder use?

No licence was found for Model Architecture Diagram Finder or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Model Architecture Diagram Finder use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.4k tokens, read only when the agent opens those files.

What are the alternatives to Model Architecture Diagram Finder?

Skills that share tags, products or a category with Model Architecture Diagram Finder: LLM Council on Fireworks AI (dair-ai/dair-academy-plugins, 614 stars), slime RL Post-Training (Orchestra-Research/AI-Research-SKILLs, 13k stars), Update Ollama Cloud Models (heypinchy/pinchy, 182 stars) and Vllm Daily PR Issue Tracker (ascend-ai-coding/awesome-ascend-skills, 174 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Model Architecture Diagram Finder?

BBuf (a GitHub user) maintains it in BBuf/AI-Infra-Auto-Driven-SKILLS, which has 938 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 5, 2026.

Source: BBuf/AI-Infra-Auto-Driven-SKILLS on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.