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freedomw1987
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whatsapp-chatbot-debug

Debug missing AI-generated images in WhatsApp-style chatbot frontends across backend, frontend, and infrastructure layers.

2|Updated May 10, 2026
Search Tags:#express.js#frontend debugging#image rendering#payload limit#chatbot debugging#sse stream#cross-account leakage
One-click install
npx skills add https://github.com/freedomw1987/tree_monstor --skill whatsapp-chatbot-debug
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: whatsapp-chatbot-debug
Source: https://github.com/freedomw1987/tree_monstor/tree/main/skills/debugging/whatsapp-chatbot-debug
Command: npx skills add https://github.com/freedomw1987/tree_monstor --skill whatsapp-chatbot-debug

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill resolves the issue where AI-generated images fail to appear in a WhatsApp-style chatbot frontend even when the backend SSE stream is confirmed to be sending valid image data, eliminating hours of manual cross-layer debugging across backend services, frontend code, and infrastructure.

Core Features & Use Cases

  • Backend Stream Validation: Checks backend logs for common issues like undersized express.json payload limits and incorrect image data path parsing in SSE chunks.
  • Frontend Stream Consumption Debugging: Identifies duplicate getReader() calls that consume the SSE stream before image data can be processed and rendered to the DOM.
  • Infrastructure & Auth Bug Resolution: Covers fixes for nginx routing misconfigurations, missing Vite proxy routes for image assets, missing Authorization headers in chat API requests, and critical cross-account data leakage caused by duplicate backend processes.
  • Use Case: For example, if your WhatsApp-style chatbot shows no AI-generated images despite backend curl tests confirming valid base64 image SSE streams, this Skill walks you through checking frontend DOM state, fixing stream reader duplication, and adjusting body-parser limits to resolve the issue.

Quick Start

Use the whatsapp-chatbot-debug skill to resolve missing AI-generated images in your WhatsApp-style chatbot frontend when backend SSE streams are confirmed to be working correctly.

Frequently Asked Questions about whatsapp-chatbot-debug

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
Why are AI images not rendering in my WhatsApp chatbot frontend even though the backend SSE stream is working?▼

Cross-account data leakage in chatbot backends is typically caused by duplicate backend processes running simultaneously, which this Skill resolves alongside missing Authorization headers in chat API requests to ensure secure data isolation.

How do I fix duplicate getReader() calls consuming the SSE stream before image data is processed?▼

Fix duplicate getReader() calls by removing the redundant stream reader instances in your frontend code, ensuring a single reader consumes the SSE stream so image data chunks can be parsed and rendered to the DOM correctly.

How do I adjust express body-parser limits for large base64 image payloads in an SSE stream?▼

Adjust express body-parser limits by increasing the express.json payload size configuration in your backend service, preventing the server from rejecting or truncating large base64 image SSE chunks sent to the chatbot frontend.

Does this chatbot debugging approach cover nginx routing and Vite proxy configuration for image assets?▼

Yes, this debugging approach covers resolving nginx routing misconfigurations and adding missing Vite proxy routes for image assets, ensuring the frontend correctly receives and displays AI-generated images from the backend.

What causes cross-account data leakage in a WhatsApp chatbot backend?▼

Cross-account data leakage in a WhatsApp chatbot backend is typically caused by duplicate backend processes running simultaneously, which this Skill identifies and resolves alongside missing Authorization headers in chat API requests to secure user data.

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