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Architecture Diagram

CommunityPopular
mohitagw15856
architecture-diagram

Diagram a system or technical architecture — services, data stores, and how they connect. Use when asked to draw an architecture, show how components fit together, map a system/data flow, or visualize services and dependencies. Produces a ready-to-render Mermaid diagram with grouped subgraphs (renders live, exportable as PNG/SVG) plus a component legend and notes.

Overview

Publishermohitagw15856
Repositorypm-claude-skills
Skill namearchitecture-diagram
Stars
1.4K
Forks
240
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 mohitagw15856 on GitHub. Read the source before you install it.

Installation

Install the Architecture Diagram 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.
  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/mohitagw15856/pm-claude-skills.git /tmp/pm-claude-skills
mkdir -p .claude/skills
cp -r /tmp/pm-claude-skills/exports/openclaw/architecture-diagram .claude/skills/architecture-diagram
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Architecture Diagram 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 Architecture Diagram 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 Architecture Diagram 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.

Architecture Diagram Skill

"How does the system fit together?" is best answered with a picture. This skill turns a described system into a clean Mermaid architecture diagram — clients, services, data stores, and third parties, grouped into logical layers with labelled connections (sync vs async, protocols) — not an undifferentiated blob of boxes.

Required Inputs

Ask for these only if they aren't already provided:

  • The components — services, apps, databases, queues, external APIs.
  • How they connect — who calls whom; sync (HTTP/gRPC) vs async (queue/event); data flow direction.
  • Logical groupings — frontend / backend / data / third-party, or by team/domain.
  • Focus — the whole system or one slice (e.g. just the checkout path).

Output Format

[System name] — architecture

One line on what the diagram covers and its boundary.

mermaid
flowchart LR
    subgraph Client
        Web[Web app]
        Mobile[Mobile app]
    end
    subgraph Backend
        API[API gateway]
        Svc[Order service]
    end
    subgraph Data
        DB[(Postgres)]
        Cache[(Redis)]
    end
    Web --> API
    Mobile --> API
    API --> Svc
    Svc --> DB
    Svc -.async.-> Queue[[Event bus]]
    Svc --> Cache

Component legend — one line per non-obvious component (what it is, why it's there).

Notes — trust boundaries, single points of failure, sync vs async (-.-> = async), anything to revisit.

Mermaid Rules (so it renders)

  • Use flowchart LR (or TD) with subgraph Name ... end for logical layers.
  • Databases/stores read well as [(name)]; queues/buses as [[name]].
  • Solid arrows --> for synchronous calls, dotted -.label.-> for async/events.
  • Short node labels; keep IDs unique and simple. No parentheses/quotes inside labels.

Quality Checks

  • Components are grouped into meaningful layers (subgraphs), not one flat pile
  • Connection direction reflects who calls whom; async vs sync is distinguished
  • Data stores and external/third-party systems are visually distinct from services
  • The legend explains anything non-obvious; trust boundaries / SPOFs are noted
  • The Mermaid block renders without edits

Anti-Patterns

  • Do not draw every box the same with undifferentiated arrows — show layers and connection types
  • Do not omit data stores or external dependencies — they're usually where the risk lives
  • Do not blur sync and async — they have very different failure modes
  • Do not cram the entire system when the ask is one slice — match the requested focus
  • Do not break Mermaid with special characters in labels

Based On

Architecture diagramming (C4-style grouping, logical layers, sync/async edges), expressed as renderable Mermaid.

Frequently asked questions

What does the Architecture Diagram AI skill do?

Diagram a system or technical architecture — services, data stores, and how they connect. Use when asked to draw an architecture, show how components fit together, map a system/data flow, or visualize services and dependencies. Produces a ready-to-render Mermaid diagram with grouped subgraphs (renders live, exportable as PNG/SVG) plus a component legend and notes.

Why use Architecture Diagram on TypingMind?

Because you install it once and use it with any model. Architecture Diagram 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 Architecture Diagram in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mohitagw15856/pm-claude-skills/tree/main/exports/openclaw/architecture-diagram. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Architecture Diagram?

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 Architecture Diagram?

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

Is the Architecture Diagram AI skill free?

Yes. It is published on GitHub by mohitagw15856 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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