figma-generate-diagram

作成者: openai

MANDATORY prerequisite — load this skill BEFORE every `generate_diagram` tool call. NEVER call `generate_diagram` directly without loading this skill first.…

npx skills add https://github.com/openai/plugins --skill figma-generate-diagram

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.

openaiのその他のスキル

user-context
openai
Data Analyticsプラグインの永続的なソースルーティング設定、オンボーディングロジック、セットアップ進捗、およびセマンティックレイヤーレジストリを読み込むか管理します。
official
notion-research-documentation
openai
Notionのコンテンツを調査し、構造化されたブリーフ、レポート、または引用付きの比較にまとめます。対象クエリを使用してNotionページを検索・取得し、テーマごとに調査結果を整理し、インラインのソース引用と参考文献セクションを追加します。範囲とユーザーの目的に応じて、4つの出力形式(クイックブリーフ、調査サマリー、比較、包括的レポート)から選択します。組み込みテンプレートを使用してNotionページを作成・更新し、新しい情報が到着するたびにソースを直接リンクし、変更を追跡します...
official
rcsb-pdb-skill
openai
コアメタデータ、Search APIクエリ、FASTAダウンロードのためのコンパクトなRCSB PDBリクエストを送信します。ユーザーが簡潔なRCSBサマリーを希望する場合に使用し、生のJSONや…を保存します。
official
pdf
openai
PDFの読み取り、作成、検証(視覚的レンダリングおよびプログラムによる生成を含む)。Poppler(pdftoppm)を使用して、納品前にレイアウト、スペーシング、タイポグラフィを視覚的に検査するためにPDFページをPNGにレンダリング。reportlabを使用してプログラム的にPDFを生成し、信頼性の高いフォーマットを実現。pdfplumberまたはpypdfを使用してテキストとメタデータを抽出。品質基準を遵守:テキストのクリッピングなし、要素の重なりなし、テーブルの破損なし、レンダリングアーティファクトなし。ASCIIハイフンのみ、人間が読める引用を使用。
official
test-coverage-improver
openai
Improve test coverage in the OpenAI Agents JS monorepo: run `pnpm test:coverage`, inspect coverage artifacts, identify low-coverage files and branches, propose…
official
playwright
openai
ターミナル駆動のブラウザ自動化で、要素スナップショットとインタラクティブなUIワークフローを備えています。playwright-cliラッパースクリプト(npxが必要)を介して動作し、ヘッドレスモードとヘッドモードの両方をサポートし、ビジュアルデバッグが可能です。コアワークフローは、ページを開き、安定した要素参照のためにスナップショットを取得し、参照を使用して操作し、ナビゲーションやDOM変更後に再スナップショットを取得します。フォーム入力、クリック、タイピング、マルチタブ管理、スクリーンショット/PDFキャプチャ、フローデバッグ用のトレース記録を含みます。要素参照(例:e3、e15)...
official
ukb-topmed-phewas-skill
openai
単一バリアントのコンパクトなUKB-TOPMed PheWASサマリーを取得します。rsID、GRCh37、またはGRCh38の入力を受け付け、必要なGRCh38クエリに解決します。以下の場合に使用します…
official
code-review-context
openai
モデル可視コンテキスト
official