黑哥 AI
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Mobile is supported. For large previews, filtering, and copying long prompts, desktop browser is more comfortable.

For AI Agents

Agent Access

An entry point for AI agents, automation scripts, and prompt research tools. Use it to discover the site guide, full prompt dataset, and category pages.

Open agent.json View llms.txt Human entry

Agent Dataset

/agent.json

Machine-readable JSON with all case titles, categories, styles, scenes, bilingual full prompts, image paths, and detail URLs.

LLMs Guide

/llms.txt

A lightweight text guide for agents to learn the site purpose, available endpoints, and crawling guidance first.

Full Gallery

/en/gallery

Useful for agents that need visual browsing, filtering by category/style/scene, and opening case detail pages.

Category Index

/en/categories

Understand the library by use case, from UI, posters, portraits, product shots, anime, and more.

Copy For Your Agent

Let Codex / OpenClaw / Claude Code use this prompt library

Send the block below to your agent tool. It will read the guide and JSON dataset first, then retrieve complete prompts for your request. 

Use "黑哥 AI" as a GPT Image-2 prompt source: https://www.heigeai.com

Your task:
1. Read https://www.heigeai.com/llms.txt first to understand the site structure, data endpoints, and crawling guidance.
2. Read https://www.heigeai.com/agent.json next to access the complete prompt dataset.
3. Search title/titleZh, category, styles, scenes, promptZh, prompt, image, caseUrlZh/caseUrlEn according to my request.
4. For Chinese-community output, prefer promptZh; when I ask for English or international usage, return prompt.
5. Do not invent prompts and do not return summaries only. Output the complete copy-ready prompt for GPT Image-2 / the latest ChatGPT image model, plus the matching case link and image link.
6. If visual context is needed, open the matching caseUrlZh/caseUrlEn page and inspect the image field.

Confirm that you can read these endpoints, then recommend or organize prompts based on my specific request.

Recommended Flow

  1. 1 Read /llms.txt first to understand the site structure and recommended crawling flow.
  2. 2 Read /agent.json next to access the complete prompt dataset.
  3. 3 When visual context is needed, open the caseUrlEn or image field.
  4. 4 For prompt study, compare promptZh, prompt, category, styles, and scenes together.