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stitch-mcp-edit-screensstitch MCP edit screens 搜索

Agent Skill

stitch-mcp-edit-screens 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

384

周安装

16

GitHub Stars

22

下载量

128
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:stitch-mcp-edit-screens(stitch MCP edit screens 搜索)
来源仓库:https://github.com/gabelul/stitch-kit
仓库路径:skills/stitch-mcp-edit-screens
安装命令:
npx skills add https://github.com/gabelul/stitch-kit --skill stitch-mcp-edit-screens
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/gabelul/stitch-kit --skill stitch-mcp-edit-screens

简介

stitch-mcp-edit-screens 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 可结合来源仓库、安装命令和原始 README 继续核验具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 它属于研究检索类工具,主要服务于信息定位与筛选需求。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Stitch MCP — Edit Screens

Edits one or more existing screens using a text prompt. This is the primary iteration tool — instead of regenerating a screen from scratch (60–180s), you can refine what you already have with targeted changes.

Critical prerequisite

Only use this skill when the user explicitly mentions "Stitch".

You must have both a projectId AND at least one screenId before calling this. If you don't:

  • List screens via stitch-mcp-list-screens to find screen IDs
  • Parse from context: projects/123/screens/456 → projectId: 123, screenId: 456

When to use

  • User wants to modify an existing Stitch screen (change colors, layout, content, style)
  • After generation, user says "make it darker", "change the font", "move the nav to the side"
  • The orchestrator's Step 5b offers "Edit this screen"
  • Any iterative refinement on a Stitch design

Call the MCP tool

{
  "name": "edit_screens",
  "arguments": {
    "projectId": "3780309359108792857",
    "selectedScreenIds": ["88805abc123def456"],
    "prompt": "Change the background to dark mode (#09090B). Make the primary color indigo (#818CF8). Increase the font size of the header to 32px bold.",
    "deviceType": "DESKTOP",
    "modelId": "GEMINI_3_1_PRO"
  }
}

Parameter reference

projectId — numeric ID only, no prefix

✅ "3780309359108792857"
❌ "projects/3780309359108792857"

selectedScreenIds — array of numeric screen IDs

✅ ["88805abc123def456"]
❌ ["projects/123/screens/88805abc123def456"]
❌ ["screens/88805abc123def456"]

Select one or more screens to edit. All selected screens receive the same edit instruction.

prompt — the edit instruction

Apply the same quality bar as generation prompts:

  • Be specific: "Change background to #09090B" not "make it darker"
  • Name exact components: "the header navigation" not "the top part"
  • Include values: hex colors, px sizes, specific content text
  • One focused change per call produces better results than many changes at once

deviceType — optional

Same enum as generate_screen_from_text: MOBILE, DESKTOP, TABLET, AGNOSTIC

modelId — optional

ValueUse when
GEMINI_3_1_PRORecommended — complex layouts, high fidelity
GEMINI_3_FLASHFast iteration, wireframes, simple changes
GEMINI_3_PRODeprecated. Still works but will be removed. Use GEMINI_3_1_PRO instead.

Handling output_components

The response may contain output_components with suggestions:

{
  "outputComponents": [
    { "text": "I've updated the background color and adjusted contrast ratios." },
    { "suggestion": "Would you also like me to update the sidebar to match the dark theme?" }
  ]
}

When you see suggestions:

  1. Present them to the user
  2. If the user accepts: call edit_screens again with the suggestion as the new prompt
  3. This creates a natural refinement loop — keep going until the user is satisfied

Timing

Same as generation: 60–180 seconds is normal.

  • Do NOT retry during this window
  • Do NOT assume failure if it takes > 60 seconds
  • Each call creates a new edit — retries mean duplicate edits

After editing

  1. Re-fetch the screen: stitch-mcp-get-screen with the same projectId and screenId
  2. Show the updated screenshot to the user
  3. Offer:

- "Continue editing?" → another edit_screens call - "Generate variants of this version?" → stitch-mcp-generate-variants - "Convert to code?" → framework conversion workflow

Anti-patterns

  • Never send vague edit prompts — "make it better" will produce unpredictable results
  • Never use projects/ID format for projectId or screenId — both must be numeric
  • Never batch unrelated edits — "change the color AND completely redo the layout" works poorly

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

38.09%
按下载量换算49

Claude

29.34%
按下载量换算38

Cursor

19.44%
按下载量换算25

Gemini CLI

10.3%
按下载量换算13

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

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