Token导航 LogoToken导航TokenDH.com
研究检索external-servicegithub未标认证来源可访问许可证需确认审计通过

figma-generate-diagramFigma generate diagram 搜索

Agent Skill

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

总安装

1,067

周安装

44

GitHub Stars

1,297

下载量

348
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:figma-generate-diagram(Figma generate diagram 搜索)
来源仓库:https://github.com/figma/mcp-server-guide
仓库路径:skills/figma-generate-diagram
安装命令:
npx skills add https://github.com/figma/mcp-server-guide --skill figma-generate-diagram
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/figma/mcp-server-guide --skill figma-generate-diagram

简介

用于优化界面设计、视觉规范、排版、配色、布局和交互体验。

  • 可整理页面结构、生成 UI 方案或检查视觉一致性,改进组件层级。
  • 需结合品牌、设计系统和用户任务,避免堆砌装饰元素;改动后应通过截图或浏览器预览检查表现。
  • 安装命令:npx skills add https://github.com/figma/mcp-server-guide --skill figma-generate-diagram
  • 适用于 Codex、Claude、Cursor、Gemini CLI,需授权访问 Figma 文件。

SKILL.md

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 — do not use notes.
  8. Gantt charts — do not use color styling.

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.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

39.92%
按下载量换算139

Claude

29.2%
按下载量换算102

Cursor

17.45%
按下载量换算61

Gemini CLI

10.41%
按下载量换算36

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills