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Agent Skill · 研究检索

stitch-sdk-development(stitch SDK 开发)

stitch-sdk-development 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。

stitch-sdk-development 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 35,243。

总安装 2,117周安装 90GitHub Stars 1,578下载 742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:stitch-sdk-development(stitch SDK 开发)
来源仓库:https://github.com/google-labs-code/stitch-sdk
仓库路径:skills/stitch-sdk-development
安装命令:
npx skills add https://github.com/google-labs-code/stitch-sdk --skill stitch-sdk-development
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/google-labs-code/stitch-sdk --skill stitch-sdk-development

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。

用于查找、检索和筛选相关信息。stitch-sdk-development 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合根据关键词快速定位候选结果。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。

可结合来源仓库和原始 README 核验具体用法。安装前建议确认权限范围和维护状态。需避免触发联网、命令执行或文件读写。

来源仓库内路径:skills/stitch-sdk-development

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/google-labs-code/stitch-sdk --skill stitch-sdk…;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

stitch-sdk-development 怎么安装?

在终端执行 npx skills add https://github.com/google-labs-code/stitch-sdk --skill stitch-sdk-developme…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

stitch-sdk-development 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。

stitch-sdk-development 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。

stitch-sdk-development 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。

stitch-sdk-development 用的人多吗?

公开数据是累计安装 2,117 次,近一周安装 90 次,下载 742 次,GitHub 1,578 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。

stitch-sdk-development 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 1,578 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
stitch-sdk-development

stitch SDK 开发 · 本页

2,1171,578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

Stitch SDK Development

This skill encodes the expertise needed to develop @google/stitch-sdk — the core systems, patterns, and philosophies. It does not enumerate every method (the codebase is the source of truth for that). It teaches you how to think about the system.


The Generation Pipeline

The domain layer is fully generated. No handwritten domain classes. The pipeline has 3 stages:

Stage 1: Capture            Stage 2: Domain Design       Stage 3: Generate
┌──────────────────┐       ┌──────────────────┐        ┌──────────────────────────┐
│ capture-tools.ts │──────▶│  domain-map.json │───────▶│ generate-sdk.ts          │
│                  │       │  (the IR)        │        │                          │
│ Connects to MCP  │       │ Classes, bindings│        │ Deterministic            │
│ server, calls    │       │ arg routing,     │        │ codegen into             │
│ tools/list       │       │ cache, extraction│        │ packages/sdk/generated/  │
└──────────────────┘       └──────────────────┘        └──────────────────────────┘
        │                          │                           │
        ▼                          ▼                           ▼
 tools-manifest.json        domain-map.json          packages/sdk/generated/src/*.ts
 (raw MCP tool schemas)     (tool→class mapping)     (Stitch, Project, Screen)

Stage 1 (bun scripts/capture-tools.ts): Connects to the live Stitch MCP server, calls tools/list, writes tools-manifest.json. Source of truth for what tools exist.

Stage 2 (agent/human): Reads the manifest and produces domain-map.json — the intermediate representation. This is where judgment lives: which tool maps to which class, what args come from self vs param vs computed, how to extract the return value, and what data to cache.

Stage 3 (bun scripts/generate-sdk.ts): Deterministic codegen. Reads manifest + domain-map, emits TypeScript classes in packages/sdk/generated/src/. No LLM involved — pure template expansion.

Integrity: stitch-sdk.lock records SHA-256 hashes of all inputs and outputs. bun scripts/validate-generated.ts verifies consistency. Run in CI to prevent publishing stale code.

Supporting a New Tool

When the Stitch MCP server adds a new tool:

  1. Run Stage 1 to capture the updated manifest
  2. Run Stage 2: add a binding in domain-map.json for the new tool
  3. Run Stage 3 to regenerate the SDK classes
  4. Run validate-generated.ts to confirm consistency
  5. Update tests as needed

The Domain Map IR

domain-map.json expresses two things:

Classes: What domain objects exist and how they're constructed.

{
  "Screen": {
    "constructorParams": ["projectId", "screenId"],
    "fieldMapping": {
      "projectId": { "from": "projectId" },
      "screenId": { "from": "id", "fallback": { "field": "name", "splitOn": "/screens/" } }
    },
    "parentField": "projectId",
    "idField": "screenId"
  }
}

Bindings: How MCP tools map to class methods.

{
  "tool": "generate_screen_from_text",
  "class": "Project",
  "method": "generate",
  "args": {
    "projectId": { "from": "self" },
    "prompt": { "from": "param" },
    "name": { "from": "computed", "template": "projects/{projectId}/screens/{screenId}" }
  },
  "returns": {
    "class": "Screen",
    "projection": [
      { "prop": "outputComponents", "index": 0 },
      { "prop": "design" },
      { "prop": "screens", "index": 0 }
    ]
  }
}

Arg routing: self = injected from this, param = passed by the caller, computed = built from a template at call time, selfArray = [this.field] wrapped as array.

Response projections: Structured ProjectionStep[] arrays validated against outputSchema. Use index for single items, each for arrays. Empty [] = direct return.

Cache: Methods can specify a cache with a structured projection to check this.data before calling the API:

{
  "cache": { "projection": [{ "prop": "htmlCode" }, { "prop": "downloadUrl" }], "description": "Use cached download URL from generation response" }
}

Dual Modality

The SDK serves two distinct consumers with different needs:

Agent Modality — StitchToolClient

For AI agents and orchestration scripts. Raw tool pipe. The agent receives tool schemas, constructs JSON, sends it, gets JSON back. No domain knowledge required.

Quick Start (Singleton)

The stitch singleton exposes both domain methods and tool methods via a Proxy. No instantiation needed — it lazily creates a StitchToolClient from env vars on first access.

import { stitch } from '@google/stitch-sdk';

// Discover available tools
const { tools } = await stitch.listTools();

// Call any tool by name with a JSON payload
const result = await stitch.callTool("generate_screen_from_text", {
  projectId: "123",
  prompt: "A login page",
});

// Clean up when done
await stitch.close();

The singleton reads STITCH_API_KEY (or STITCH_ACCESS_TOKEN + GOOGLE_CLOUD_PROJECT) from the environment. Set STITCH_HOST to override the server URL.

Direct Instantiation

For explicit control (multiple clients, custom config, testing), instantiate StitchToolClient directly:

import { StitchToolClient } from '@google/stitch-sdk';

const client = new StitchToolClient({ apiKey: 'my-key' });
const tools = await client.listTools();
const result = await client.callTool("create_project", { title: "My App" });
await client.close();

Config resolution: Constructor params → env vars → defaults. Auth requires either apiKey or accessToken + projectId (validated via Zod at construction time).

Connection: callTool and listTools auto-connect on first call. Concurrent calls safely share the connection via a promise-based lock.

AI SDK Adapter — stitchTools()

For agents built on the Vercel AI SDK. Transforms MCP tool schemas into AI SDK-compatible tool definitions, enabling plug-and-play with generateText().

import { stitchTools } from '@google/stitch-sdk/ai';
import { generateText } from 'ai';
import { google } from '@ai-sdk/google';

const result = await generateText({
  model: google("gemini-2.0-flash"),
  tools: stitchTools(),                          // all tools
  // or: stitchTools({ include: ["create_project"] })  // filtered
  prompt: "Create a project called My App",
});

stitchTools() is exported from the /ai subpath to keep the ai dependency optional. It uses the same shared StitchToolClient singleton internally.

stitch.toolMap provides O(1) tool lookup with pre-parsed params — static, auth-free, no network call:

const tool = stitch.toolMap.get("create_project");
tool.params;                              // ToolParam[] — flat, pre-parsed
tool.params.filter(p => p.required);      // required params only
tool.inputSchema;                         // raw ToolInputSchema still available

The raw toolDefinitions array and standalone toolMap are also exported from the main entry point.

SDK Modality — Generated Domain Classes

For humans writing precise, programmatic scripts. Generated domain facade over callTool. Typed parameters, domain objects returned, StitchError thrown on failure.

const project = await stitch.createProject("My App");
const screen = await project.generate("A login page");
const html = await screen.getHtml();

Both modalities share StitchToolClient underneath. The domain classes are a typed layer over callTool.

Error Handling — Throws at the Boundary

All generated methods use throw StitchError for error handling. No Result<T> pattern.

// Generated method pattern (inside each method):
try {
  const raw = await this.client.callTool<any>("tool_name", args);
  return /* extracted result */;
} catch (error) {
  throw StitchError.fromUnknown(error);
}

StitchError.fromUnknown() ensures all errors are normalized to StitchError with a code, message, and recoverability hint.

Infrastructure (Handwritten)

These components remain handwritten as they provide foundational plumbing:

  • StitchToolClient — MCP transport, auth, tool invocation
  • StitchError — typed error class with codes, messages, recovery hints
  • StitchProxy — MCP proxy server for re-exposing Stitch to other agents
  • singleton.ts — lazy proxy for stitch export with env var config

Traffic Light Implementation (Red → Green → Yellow)

When implementing a new feature or fixing a bug, follow the Traffic Light pattern:

🔴 Red — Write Breaking Tests

Write the test first. It must fail. This defines the contract before any implementation exists.

# Unit tests for generated classes
npx vitest run test/unit/sdk.test.ts
# → FAIL (new method doesn't exist yet)

# E2E test for the public API
bun scripts/e2e-test.ts
# → FAIL (method doesn't exist yet)

🟢 Green — Implement

  1. Add a binding to domain-map.json (Stage 2)
  2. Run bun scripts/generate-sdk.ts (Stage 3)
  3. Update tests to verify correct behavior
npx vitest run  # All tests pass
bun scripts/e2e-test.ts  # E2E passes

🟡 Yellow — Refactor / Refine / Revisit

With passing tests as your safety net:

  • Refactor for clarity (extract helpers, simplify args)
  • Add edge case tests
  • Run npx tsc to verify type safety
  • Run bun scripts/validate-generated.ts to verify pipeline integrity

Orienting in the Codebase

Discover the current state by reading the codebase directly. The key entry points:

  • Public surface: Start at packages/sdk/src/index.ts — every public export is listed here
  • Generated classes: packages/sdk/generated/src/ — Stitch, Project, Screen, DesignSystem
  • Pipeline artifacts: packages/sdk/generated/domain-map.json, packages/sdk/generated/tools-manifest.json
  • Infrastructure: packages/sdk/src/client.ts, packages/sdk/src/spec/errors.ts, packages/sdk/src/singleton.ts
  • Test structure: packages/sdk/test/unit/ for unit tests, packages/sdk/test/integration/ for live tests
  • Available commands: Read the scripts field in package.json

Do not rely on cached descriptions of files or directory trees. Read the source.

Import Convention

Use .js extensions for ESM compatibility:

import { StitchError } from '../../src/spec/errors.js';  // ✓
import { StitchError } from '../../src/spec/errors';     // ✗

平台分布

Codex

33.1%
按下载量换算246

Claude

30.49%
按下载量换算226

Cursor

18.35%
按下载量换算136

Gemini CLI

8.65%
按下载量换算64

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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