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Agent Skill · 研究检索

figma-generate-diagram(Figma generate diagram 搜索)

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。

figma-generate-diagram 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 42,521。

总安装 1,067周安装 44GitHub Stars 1,297下载 348核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/figma-generate-diagram

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/figma/mcp-server-guide --skill figma-generate-…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

figma-generate-diagram 怎么安装?

在终端执行 npx skills add https://github.com/figma/mcp-server-guide --skill figma-generate-diagram。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

figma-generate-diagram 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

figma-generate-diagram 需要什么权限?

权限级别是调用外部服务。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。

figma-generate-diagram 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

figma-generate-diagram 用的人多吗?

公开数据是累计安装 1,067 次,近一周安装 44 次,下载 348 次,GitHub 1,297 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

figma-generate-diagram 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 1,297 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
figma-generate-diagram

Figma generate diagram 搜索 · 本页

1,0671,297调用外部服务未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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.

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

调用外部服务

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。目前只有一个公开来源,建议同时核对源仓库。

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