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Figma Generate Diagram

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Devin-AXIS
figma-generate-diagram

MANDATORY prerequisite — load this skill BEFORE every `generate_diagram` tool call. NEVER call `generate_diagram` directly without loading this skill first. Trigger whenever the user asks to create, generate, draw, render, sketch, or build a diagram — flowchart, architecture diagram, sequence diagram, ERD or entity-relationship diagram, state diagram or state machine, gantt chart, or timeline. Also trigger when the user mentions Mermaid syntax or wants a system architecture, decision tree, dependency graph, API call flow, auth handshake, schema, or pipeline visualized in FigJam. Routes to type-specific guidance, sets universal Mermaid constraints, and tells you when to use a different diagram type or skip the tool entirely (mindmaps, pie charts, class diagrams, etc.).

Overview

PublisherDevin-AXIS
RepositoryiPolloWork
Skill namefigma-generate-diagram
Stars
6.3K
Forks
1.2K
Bundled files
7
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.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Devin-AXIS on GitHub. Read the source before you install it.

Installation

Install the Figma Generate 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/Devin-AXIS/iPolloWork.git /tmp/iPolloWork
mkdir -p .claude/skills
cp -r /tmp/iPolloWork/examples/plugin-packages/figma/skills/figma-generate-diagram .claude/skills/figma-generate-diagram
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Figma Generate 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 Figma Generate 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 Figma Generate 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.

generate-diagram

You MUST load this skill before every generate_diagram tool call. Skipping it causes preventable rendering failures and low-quality output.

generate_diagram takes Mermaid.js syntax and produces an editable FigJam diagram. This skill routes you to the right per-type guidance and sets universal constraints.

Step 1: Is generate_diagram the right tool?

Supported diagram types

flowchart, sequenceDiagram, stateDiagram / stateDiagram-v2, gantt, erDiagram.

Unsupported — don't call the tool

If the user wants any of these, tell them directly that generate_diagram doesn't support it instead of calling the tool and failing:

  • Pie chart, mindmap, venn diagram, class diagram, journey, timeline, quadrant, C4, git graph, requirement diagram

When to push the user to edit in Figma

The tool cannot:

  • Change fonts on an existing diagram
  • Move individual shapes
  • Edit a diagram node-by-node after generation

If the user asks for any of those on an existing diagram, recommend they open the diagram in Figma and edit there. For content-level changes, it's usually faster to regenerate.

Step 2: Pick the diagram type

Lightweight routing — use the first match.

User wants…TypeNext step
Services + datastores + queues + integrationsArchitecture flowchartRead references/architecture.md
Decision tree, process flow, pipeline, dependency graph, user journeyFlowchartRead references/flowchart.md
Interactions between parties over time (API calls, auth, messaging)Sequence diagramRead references/sequence.md
Data model, tables, keys, cardinalityER diagramRead references/erd.md
Named states with transitions between themState diagramRead references/state.md
Project schedule with dates, milestonesGantt chartRead references/gantt.md

If a flowchart is requested and it describes software infrastructure (services, datastores, queues, external integrations), route to architecture.md — not flowchart.md. When in doubt, ask the user.

Step 3: Universal constraints (apply to every diagram type)

  1. No emojis in any part of the Mermaid source. The tool rejects them.
  2. No \n in labels. Use newlines only when absolutely required and only via actual line breaks (not the escape sequence).
  3. No HTML tags in labels.
  4. Reserved words — don't use end, subgraph, graph as node IDs.
  5. Node IDs: camelCase (userService), no spaces. Underscores can break edge routing in some processors.
  6. Special characters in labels must be wrapped in quotes: A["Process (main)"], -->|"O(1) lookup"|.
  7. Sequence diagrams — Mermaid Note over X / Note left of X / Note right of X are silently stripped by the renderer; don't put them in the source. If the user wants annotations on a sequence diagram, generate the base diagram first and add stickies/text via the hybrid workflow (references/workflow.md).
  8. Gantt chartsclassDef, class, and any other styling are stripped by preprocessing; the rendered chart will not have colors. If the user wants color-coded phases, milestones, or tasks, generate the base chart first and add color/annotations via the hybrid workflow (references/workflow.md) — or, for diagrams that fundamentally need styling, build the timeline directly with use_figma instead (see references/gantt.md §11).
  9. Use FigJam-only APIs in any use_figma extension. generate_diagram output lands in a FigJam file (figma.com/board/...), so hybrid extensions must stick to FigJam-supported APIs. Do NOT call figma.createPage() — it's Design-only (figma.com/design/...) and throws TypeError: figma.createPage no such property 'createPage' on the figma global object in FigJam. Organize content with FigJam sections instead (see figma-use-figjam).

Step 4: Garbage in, garbage out

The quality of the generated diagram is bounded by the quality of the Mermaid you produce, which is bounded by the context you have. Before writing Mermaid, make sure you have enough real information to describe the subject accurately — and use whatever the current environment gives you to gather it.

Depending on what's available, useful sources of context include:

  • Source code — grep/read the relevant files so the diagram reflects real service names, real edge labels, real data stores, real entry points. Walking actual routes/handlers/consumers beats recreating from memory.
  • User-provided documents — a PRD, spec, meeting notes, transcript, research synthesis, onboarding doc, process write-up. Ask the user to paste or attach it if the subject isn't code.
  • Existing Figma or FigJam files — if the new diagram should align with one the user already has, read it with get_figjam or get_design_context (see the figma-use and figma-use-figjam skills).
  • Other MCP servers or tools you have available — issue trackers, docs sites, CRMs, analytics, internal wikis, design systems, database schemas, etc. If a connected tool holds the ground truth for what you're diagramming, pull from it rather than guessing.
  • The user themselves — when the description is thin or ambiguous (unclear direction of flow, unclear scope, unclear which entities matter), ask one or two focused questions before generating. Examples: "What are the 3–5 main steps?", "Who owns each step?", "What triggers the next step?". One good question beats one wasted diagram.

Don't invent edges, labels, or entities to "round out" a diagram. Missing information is better than hallucinated information — leave a gap and flag it to the user.

Step 5: Will the diagram need more than Mermaid can express?

Mermaid can't do everything. Sticky-note annotations tied to specific nodes, per-node domain coloring on ERDs, callouts with attached data — these all require composing generate_diagram with use_figma (via the figma-use-figjam skill). This is the hybrid workflow.

It's a judgment call, not a default. Deploy it when the user's ask clearly benefits — skip it when the base diagram is obviously enough. Signals that say yes: user explicitly asked for notes, colors, callouts, or "X attached to each node"; they shared data that maps to specific nodes; the diagram is a shareable artifact, not a thinking sketch. Signals that say no: short/self-explanatory request, small diagram, user exploring or testing.

If hybrid is warranted, read references/workflow.md before calling generate_diagram — it covers the pattern, two core recipes (annotations + color-coding), communication style, and failure handling. If not, proceed directly to Step 6.

Step 6: Calling the tool

Required:

  • name: a descriptive title (shown to the user)
  • mermaidSyntax: the Mermaid source

Optional:

  • userIntent: a short sentence describing what the user is trying to accomplish — helps telemetry and downstream tuning
  • useArchitectureLayoutCode: only for architecture diagrams; value is specified in references/architecture.md
  • fileKey: if the user wants the diagram added to an existing FigJam file instead of a new one

Do not call create_new_file before generate_diagram — the tool creates its own file.

Step 7: After generation

  • The tool returns a link (or widget) the user can click to open the diagram in FigJam. Show it as a markdown link unless the client renders an inline widget.
  • If extensions are warranted (see Step 5), compose with use_figma now — the pattern and recipes are in references/workflow.md.
  • If the user is dissatisfied after 2 attempts at the same diagram, stop regenerating. Ask what specifically is wrong, or suggest they open it in Figma and edit manually rather than burning more tool calls.

Reuse the same file when iterating or adding related diagrams

Every call to generate_diagram without a fileKey creates a new FigJam file in the user's drafts. Regenerating 4 times = 4 draft files to clean up. Prefer reusing the existing file when:

  • The user is iterating on the same diagram ("try again with…", "change the labels…").
  • The user wants a follow-up diagram that lives alongside the first (e.g. a sequence diagram next to a flowchart of the same system).

How to reuse:

  1. Pass fileKey on subsequent generate_diagram calls. Extract from a figma.com/board/{fileKey}/... URL. The diagram is added to the existing file rather than creating a new one.
  2. If you want to replace the previous diagram rather than adding next to it, use the use_figma tool (see the figma-use-figjam skill) to delete the old diagram's nodes first, then call generate_diagram with the same fileKey. Or leave the old diagram and place the new one beside it — readers often benefit from seeing the history of attempts.

Ask the user which they prefer the first time you iterate — "regenerate over the old one, or keep both side-by-side?" — and remember their answer for subsequent iterations in the session.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Figma Generate Diagram AI skill do?

MANDATORY prerequisite — load this skill BEFORE every `generate_diagram` tool call. NEVER call `generate_diagram` directly without loading this skill first. Trigger whenever the user asks to create, generate, draw, render, sketch, or build a diagram — flowchart, architecture diagram, sequence diagram, ERD or entity-relationship diagram, state diagram or state machine, gantt chart, or timeline. Also trigger when the user mentions Mermaid syntax or wants a system architecture, decision tree, dependency graph, API call flow, auth handshake, schema, or pipeline visualized in FigJam. Routes to t...

Why use Figma Generate Diagram on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Devin-AXIS/iPolloWork/tree/main/examples/plugin-packages/figma/skills/figma-generate-diagram. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Figma Generate 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 Figma Generate Diagram?

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

Is the Figma Generate Diagram AI skill free?

It is published on GitHub by Devin-AXIS. Check the repository for licensing terms. 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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