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Stitch Loop

OrganizationPopular
google-labs-code
stitch-loop

Teaches agents to iteratively build websites using Stitch with an autonomous baton-passing loop pattern

Overview

Publishergoogle-labs-code
Repositorystitch-skills
Skill namestitch-loop
Stars
8.3K
Forks
1.1K
Bundled files
4
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by google-labs-code on GitHub. Read the source before you install it.

Installation

Install the Stitch Loop AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/google-labs-code/stitch-skills.git /tmp/stitch-skills
mkdir -p .claude/skills
cp -r /tmp/stitch-skills/plugins/stitch-utilities/skills/stitch-loop .claude/skills/stitch-loop
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Stitch Loop in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Stitch Loop on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Stitch Loop is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Stitch Build Loop

You are an autonomous frontend builder participating in an iterative site-building loop. Your goal is to generate a page using Stitch, integrate it into the site, and prepare instructions for the next iteration.

Overview

The Build Loop pattern enables continuous, autonomous website development through a "baton" system. Each iteration:

  1. Reads the current task from a baton file (.stitch/next-prompt.md)
  2. Generates a page using Stitch MCP tools
  3. Integrates the page into the site structure
  4. Writes the next task to the baton file for the next iteration

Prerequisites

Required:

  • Access to the Stitch MCP Server
  • A Stitch project (existing or will be created)
  • A .stitch/DESIGN.md file (generate one using the design-md skill if needed)
  • A .stitch/SITE.md file documenting the site vision and roadmap

Optional:

  • Chrome DevTools MCP Server — enables visual verification of generated pages

The Baton System

The .stitch/next-prompt.md file acts as a relay baton between iterations:

markdown
---
page: about
---
A page describing how jules.top tracking works.

**DESIGN SYSTEM (REQUIRED):**
[Copy from .stitch/DESIGN.md Section 6]

**Page Structure:**
1. Header with navigation
2. Explanation of tracking methodology
3. Footer with links

Critical rules:

  • The page field in YAML frontmatter determines the output filename
  • The prompt content must include the design system block from .stitch/DESIGN.md
  • You MUST update this file before completing your work to continue the loop

Execution Protocol

Step 1: Read the Baton

Parse .stitch/next-prompt.md to extract:

  • Page name from the page frontmatter field
  • Prompt content from the markdown body

Step 2: Consult Context Files

Before generating, read these files:

FilePurpose
.stitch/SITE.mdSite vision, Stitch Project ID, existing pages (sitemap), roadmap
.stitch/DESIGN.mdRequired visual style for Stitch prompts

Important checks:

  • Section 4 (Sitemap) — Do NOT recreate pages that already exist
  • Section 5 (Roadmap) — Pick tasks from here if backlog exists
  • Section 6 (Creative Freedom) — Ideas for new pages if roadmap is empty

Step 3: Generate with Stitch

Use the Stitch MCP tools to generate the page:

  1. Discover namespace: Run list_tools to find the Stitch MCP prefix
  2. Get or create project:
    • If .stitch/metadata.json exists, use the projectId from it
    • Otherwise, call [prefix]:create_project, then call [prefix]:get_project to retrieve full project details, and save them to .stitch/metadata.json (see schema below)
    • After generating each screen, call [prefix]:get_project again and update the screens map in .stitch/metadata.json with each screen's full metadata (id, sourceScreen, dimensions, canvas position)
  3. Generate screen: Call [prefix]:generate_screen_from_text with:
    • projectId: The project ID
    • prompt: The full prompt from the baton (including design system block)
    • deviceType: DESKTOP (or as specified)
  4. Retrieve assets: Before downloading, check if .stitch/designs/{page}.html and .stitch/designs/{page}.png already exist:
    • If files exist: Ask the user whether to refresh the designs from the Stitch project or reuse the existing local files. Only re-download if the user confirms.
    • If files do not exist: Proceed with download:
      • htmlCode.downloadUrl — Download and save as .stitch/designs/{page}.html
      • screenshot.downloadUrl — Append =w{width} to the URL before downloading, where {width} is the width value from the screen metadata (Google CDN serves low-res thumbnails by default). Save as .stitch/designs/{page}.png

Step 4: Integrate into Site

  1. Move generated HTML from .stitch/designs/{page}.html to site/public/{page}.html
  2. Fix any asset paths to be relative to the public folder
  3. Update navigation:
    • Find existing placeholder links (e.g., href="#") and wire them to the new page
    • Add the new page to the global navigation if appropriate
  4. Ensure consistent headers/footers across all pages

Step 4.5: Visual Verification (Optional)

If the Chrome DevTools MCP Server is available, verify the generated page:

  1. Check availability: Run list_tools to see if chrome* tools are present
  2. Start dev server: Use Bash to start a local server (e.g., npx serve site/public)
  3. Navigate to page: Call [chrome_prefix]:navigate to open http://localhost:3000/{page}.html
  4. Capture screenshot: Call [chrome_prefix]:screenshot to capture the rendered page
  5. Visual comparison: Compare against the Stitch screenshot (.stitch/designs/{page}.png) for fidelity
  6. Stop server: Terminate the dev server process

Note: This step is optional. If Chrome DevTools MCP is not installed, skip to Step 5.

Step 5: Update Site Documentation

Modify .stitch/SITE.md:

  • Add the new page to Section 4 (Sitemap) with [x]
  • Remove any idea you consumed from Section 6 (Creative Freedom)
  • Update Section 5 (Roadmap) if you completed a backlog item

Step 6: Prepare the Next Baton (Critical)

You MUST update .stitch/next-prompt.md before completing. This keeps the loop alive.

  1. Decide the next page:
    • Check .stitch/SITE.md Section 5 (Roadmap) for pending items
    • If empty, pick from Section 6 (Creative Freedom)
    • Or invent something new that fits the site vision
  2. Write the baton with proper YAML frontmatter:
markdown
---
page: achievements
---
A competitive achievements page showing developer badges and milestones.

**DESIGN SYSTEM (REQUIRED):**
[Copy the entire design system block from .stitch/DESIGN.md]

**Page Structure:**
1. Header with title and navigation
2. Badge grid showing unlocked/locked states
3. Progress bars for milestone tracking

File Structure Reference

project/
├── .stitch/
│   ├── metadata.json   # Stitch project & screen IDs (persist this!)
│   ├── DESIGN.md       # Visual design system (from design-md skill)
│   ├── SITE.md         # Site vision, sitemap, roadmap
│   ├── next-prompt.md  # The baton — current task
│   └── designs/        # Staging area for Stitch output
│       ├── {page}.html
│       └── {page}.png
└── site/public/        # Production pages
    ├── index.html
    └── {page}.html

.stitch/metadata.json Schema

This file persists all Stitch identifiers so future iterations can reference them for edits or variants. Populate it by calling [prefix]:get_project after creating a project or generating screens.

json
{
  "name": "projects/6139132077804554844",
  "projectId": "6139132077804554844",
  "title": "My App",
  "visibility": "PRIVATE",
  "createTime": "2026-03-04T23:11:25.514932Z",
  "updateTime": "2026-03-04T23:34:40.400007Z",
  "projectType": "PROJECT_DESIGN",
  "origin": "STITCH",
  "deviceType": "MOBILE",
  "designTheme": {
    "colorMode": "DARK",
    "font": "INTER",
    "roundness": "ROUND_EIGHT",
    "customColor": "#40baf7",
    "saturation": 3
  },
  "screens": {
    "index": {
      "id": "d7237c7d78f44befa4f60afb17c818c1",
      "sourceScreen": "projects/6139132077804554844/screens/d7237c7d78f44befa4f60afb17c818c1",
      "x": 0,
      "y": 0,
      "width": 390,
      "height": 1249
    },
    "about": {
      "id": "bf6a3fe5c75348e58cf21fc7a9ddeafb",
      "sourceScreen": "projects/6139132077804554844/screens/bf6a3fe5c75348e58cf21fc7a9ddeafb",
      "x": 549,
      "y": 0,
      "width": 390,
      "height": 1159
    }
  },
  "metadata": {
    "userRole": "OWNER"
  }
}
FieldDescription
nameFull resource name (projects/{id})
projectIdStitch project ID (from create_project or get_project)
titleHuman-readable project title
designThemeDesign system tokens: color mode, font, roundness, custom color, saturation
deviceTypeTarget device: MOBILE, DESKTOP, TABLET
screensMap of page name → screen object. Each screen includes id, sourceScreen (resource path for MCP calls), canvas position (x, y), and dimensions (width, height)
metadata.userRoleUser's role on the project (OWNER, EDITOR, VIEWER)

Orchestration Options

The loop can be driven by different orchestration layers:

MethodHow it works
CI/CDGitHub Actions triggers on .stitch/next-prompt.md changes
Human-in-loopDeveloper reviews each iteration before continuing
Agent chainsOne agent dispatches to another (e.g., Jules API)
ManualDeveloper runs the agent repeatedly with the same repo

The skill is orchestration-agnostic — focus on the pattern, not the trigger mechanism.

Design System Integration

This skill works best with the design-md skill:

  1. First time setup: Generate .stitch/DESIGN.md using the design-md skill from an existing Stitch screen
  2. Every iteration: Copy Section 6 ("Design System Notes for Stitch Generation") into your baton prompt
  3. Consistency: All generated pages will share the same visual language

Common Pitfalls

  • ❌ Forgetting to update .stitch/next-prompt.md (breaks the loop)
  • ❌ Recreating a page that already exists in the sitemap
  • ❌ Not including the design system block from .stitch/DESIGN.md in the prompt
  • ❌ Leaving placeholder links (href="#") instead of wiring real navigation
  • ❌ Forgetting to persist .stitch/metadata.json after creating a new project

Troubleshooting

IssueSolution
Stitch generation failsCheck that the prompt includes the design system block
Inconsistent stylesEnsure .stitch/DESIGN.md is up-to-date and copied correctly
Loop stallsVerify .stitch/next-prompt.md was updated with valid frontmatter
Navigation brokenCheck all internal links use correct relative paths

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Stitch Loop AI skill do?

Teaches agents to iteratively build websites using Stitch with an autonomous baton-passing loop pattern

Why use Stitch Loop on TypingMind?

Because you install it once and use it with any model. Stitch Loop is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Stitch Loop in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/google-labs-code/stitch-skills/tree/main/plugins/stitch-utilities/skills/stitch-loop. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Stitch Loop?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Stitch Loop?

As many as you like. As long as a model supports skills, you can use Stitch Loop with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Stitch Loop AI skill free?

Yes. It is published on GitHub by google-labs-code under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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