google-chat-api

jezweb/claude-skills · updated Apr 8, 2026

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$npx skills add https://github.com/jezweb/claude-skills --skill google-chat-api
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summary

Build Google Chat bots, webhooks, and interactive forms with Cards v2, Spaces/Members/Reactions APIs, and bearer token verification.

  • Supports two integration modes: incoming webhooks for one-way notifications and HTTP endpoints for interactive bots with button clicks and form submissions
  • Cards v2 with Markdown and HTML formatting, 15+ widget types (text, buttons, inputs, date pickers), and 100-widget-per-card limit
  • Spaces API for creating/listing/searching spaces, Members API for man
skill.md

Google Chat API

Status: Production Ready Last Updated: 2026-01-09 (Added: Spaces API, Members API, Reactions API, Rate Limits) Dependencies: Cloudflare Workers (recommended), Web Crypto API for token verification Latest Versions: Google Chat API v1 (stable), Cards v2 (Cards v1 deprecated), [email protected]


Quick Start (5 Minutes)

1. Create Webhook (Simplest Approach)

# No code needed - just configure in Google Chat
# 1. Go to Google Cloud Console
# 2. Create new project or select existing
# 3. Enable Google Chat API
# 4. Configure Chat app with webhook URL

Webhook URL: https://your-worker.workers.dev/webhook

Why this matters:

  • Simplest way to send messages to Chat
  • No authentication required for incoming webhooks
  • Perfect for notifications from external systems
  • Limited to sending messages (no interactive responses)

2. Create Interactive Bot (Cloudflare Worker)

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    const event = await request.json()

    // Respond with a card
    return Response.json({
      text: "Hello from bot!",
      cardsV2: [{
        cardId: "unique-card-1",
        card: {
          header: { title: "Welcome" },
          sections: [{
            widgets: [{
              textParagraph: { text: "Click the button below" }
            }, {
              buttonList: {
                buttons: [{
                  text: "Click me",
                  onClick: {
                    action: {
                      function: "handleClick",
                      parameters: [{ key: "data", value: "test" }]
                    }
                  }
                }]
              }
            }]
          }]
        }
      }]
    })
  }
}

CRITICAL:

  • Must respond within timeout (typically 30 seconds)
  • Always return valid JSON with cardsV2 array
  • Card schema must be exact - one wrong field breaks the whole card

3. Verify Bearer Tokens (Production Security)

async function verifyToken(token: string): Promise<boolean> {
  // Verify token is signed by [email protected]
  // See templates/bearer-token-verify.ts for full implementation
  return true
}

Why this matters:

  • Prevents unauthorized access to your bot
  • Required for HTTP endpoints (not webhooks)
  • Uses Web Crypto API (Cloudflare Workers compatible)

The 3-Step Setup Process

Step 1: Choose Integration Type

Option A: Incoming Webhook (Notifications Only)

Best for:

  • CI/CD notifications
  • Alert systems
  • One-way communication
  • External service → Chat

Setup:

  1. Create Chat space
  2. Configure incoming webhook in Space settings
  3. POST JSON to webhook URL

No code required - just HTTP POST:

curl -X POST 'https://chat.googleapis.com/v1/spaces/.../messages?key=...' \
  -H 'Content-Type: application/json' \
  -d '{"text": "Hello from webhook!"}'

Option B: HTTP Endpoint Bot (Interactive)

Best for:

  • Interactive forms
  • Button-based workflows
  • User input collection
  • Chat → Your service → Chat

Setup:

  1. Create Google Cloud project
  2. Enable Chat API
  3. Configure Chat app with HTTP endpoint
  4. Deploy Cloudflare Worker
  5. Handle events and respond with cards

Requires code - see templates/interactive-bot.ts

Step 2: Design Cards (If Using Interactive Bot)

IMPORTANT: Use Cards v2 only. Cards v1 was deprecated in 2025. Cards v2 matches Material Design on web (faster rendering, better aesthetics).

Cards v2 structure:

{
  "cardsV2": [{
    "cardId": "unique-id",
    "card": {
      "header": {
        "title": "Card Title",
        "subtitle": "Optional subtitle",
        "imageUrl": "https://..."
      },
      "sections": [{
        "header": "Section 1",
        "widgets": [
          { "textParagraph": { "text": "Some text" } },
          { "buttonList": { "buttons": [...] } }
        ]
      }]
    }
  }]
}

Widget Types:

  • textParagraph - Text content
  • buttonList - Buttons (text or icon)
  • textInput - Text input field
  • selectionInput - Dropdowns, checkboxes, switches
  • dateTimePicker - Date/time selection
  • divider - Horizontal line
  • image - Images
  • decoratedText - Text with icon/button

Text Formatting (NEW: Sept 2025 - GA):

Cards v2 supports both HTML and Markdown formatting:

// HTML formatting (traditional)
{
  textParagraph: {
    text: "This is <b>bold</b> and <i>italic</i> text with <font color='#ea9999'>color</font>"
  }
}

// Markdown formatting (NEW - better for AI agents)
{
  textParagraph: {
    text: "This is **bold** and *italic* text\n\n- Bullet list\n- Second item\n\n```\ncode block\n```"
  }
}

Supported Markdown (text messages and cards):

  • **bold** or *italic*
  • `code` for inline code
  • - list item or 1. ordered for lists
  • ```code block``` for multi-line code
  • ~strikethrough~

Supported HTML (cards only):

  • <b>bold</b>, <i>italic</i>, <u>underline</u>
  • <font color="#FF0000">colored</font>
  • <a href="url">link</a>

Why Markdown matters: LLMs naturally output Markdown. Before Sept 2025, you had to convert Markdown→HTML. Now you can pass Markdown directly to Chat.

CRITICAL:

  • Max 100 widgets per card - silently truncated if exceeded
  • Widget order matters - displayed top to bottom
  • cardId must be unique - use timestamp or UUID

Step 3: Handle User Interactions

When user clicks button or submits form:

export default {
  async fetch(request: Request): Promise<Response> {
    const event = await request.json()

    // Check event type
    if (event.type === 'MESSAGE') {
      // User sent message
      return handleMessage(event)
    }

    if (event.type === 'CARD_CLICKED') {
      // User clicked button
      const action = event.action.actionMethodName
      const params = event.action.parameters

      if (action === 'submitForm') {
        return handleFormSubmission(event)
      }
    }

    return Response.json({ text: "Unknown event" })
  }
}

Event Types:

  • ADDED_TO_SPACE - Bot added to space
  • REMOVED_FROM_SPACE - Bot removed
  • MESSAGE - User sent message
  • CARD_CLICKED - User clicked button/submitted form

Critical Rules

Always Do

✅ Return valid JSON with cardsV2 array structure ✅ Set unique cardId for each card ✅ Verify bearer tokens for HTTP endpoints (production) ✅ Handle all event types (MESSAGE, CARD_CLICKED, etc.) ✅ Keep widget count under 100 per card ✅ Validate form inputs server-side

Never Do

❌ Store secrets in code (use Cloudflare Workers secrets) ❌ Exceed 100 widgets per card (silently fails) ❌ Return malformed JSON (breaks entire message) ❌ Skip bearer token verification (security risk) ❌ Trust client-side validation only (validate server-side) ❌ Use synchronous blocking operations (timeout risk)


Known Issues Prevention

This skill prevents 6 documented issues:

Issue #1: Bearer Token Verification Fails (401)

Error: "Unauthorized" or "Invalid credentials" Source: Google Chat API Documentation Why It Happens: Token not verified or wrong verification method Prevention: Template includes Web Crypto API verification (Cloudflare Workers compatible)

Issue #2: Invalid Card JSON Schema (400)

Error: "Invalid JSON payload" or "Unknown field" Source: Cards v2 API Reference Why It Happens: Typo in field name, wrong nesting, or extra fields Prevention: Use google-chat-cards library or templates with exact schema

Issue #3: Widget Limit Exceeded (Silent Failure)

Error: No error - widgets beyond 100 simply don't render Source: Google Chat API Limits Why It Happens: Adding too many widgets to single card Prevention: Skill documents 100 widget limit + pagination patterns

Issue #4:

how to use google-chat-api

How to use google-chat-api on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add google-chat-api
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/jezweb/claude-skills --skill google-chat-api

The skills CLI fetches google-chat-api from GitHub repository jezweb/claude-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/google-chat-api

Reload or restart Cursor to activate google-chat-api. Access the skill through slash commands (e.g., /google-chat-api) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.871 reviews
  • Pratham Ware· Dec 28, 2024

    google-chat-api is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Jin White· Dec 24, 2024

    Keeps context tight: google-chat-api is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Jin Johnson· Dec 24, 2024

    google-chat-api fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Jin Brown· Dec 20, 2024

    Useful defaults in google-chat-api — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Noor Okafor· Dec 16, 2024

    google-chat-api reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Hassan Torres· Dec 12, 2024

    google-chat-api has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Arjun Rahman· Dec 8, 2024

    google-chat-api has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Jin Anderson· Nov 27, 2024

    google-chat-api reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Sakshi Patil· Nov 19, 2024

    Keeps context tight: google-chat-api is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Jin Agarwal· Nov 19, 2024

    We added google-chat-api from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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