playbooks

home / skills / openclaw / skills / r-promptengineering-on-reddit-after-1000-hours-of--94ff76c5

r-promptengineering-on-reddit-after-1000-hours-of--94ff76c5 skill

/skills/hhhh124hhhh/r-promptengineering-on-reddit-after-1000-hours-of--94ff76c5

This skill helps you apply practical prompt engineering patterns learned from reddit discussions to improve AI image generation prompts.

npx playbooks add skill openclaw/skills --skill r-promptengineering-on-reddit-after-1000-hours-of--94ff76c5

Review the files below or copy the command above to add this skill to your agents.

Files (3)
SKILL.md
886 B
---
name: r-promptengineering-on-reddit-after-1000-hours-of--94ff76c5
description: s almost like the structure, out performs the prompt. You
metadata: {"clawdbot":{"type":"image generation","source":"engineering","original_url":"https://www.reddit.com/r/PromptEngineering/comments/1nt7x7v/after_1000_hours_of_prompt_engineering_i_found/"}}
---

# r/PromptEngineering on Reddit: After 1000 hours of prompt engineering, I found the 6 patterns that a

## 描述
s almost like the structure, out performs the prompt. You

## 来源
- 平台: engineering
- 原始链接: https://www.reddit.com/r/PromptEngineering/comments/1nt7x7v/after_1000_hours_of_prompt_engineering_i_found/
- 类型: Image Generation

## Prompt
```
s almost like the structure, out performs the prompt. You
```

---

## 标签
- AI
- Image Generation
- prompt
- 生成
- image-video

---

*Skill generated by Clawdbot*

Overview

This skill archives and summarizes a Reddit post from r/PromptEngineering that documents six prompt patterns discovered after extensive practice. It captures the original prompt text, metadata, tags, and provenance so you can review a concise record of the insight without browsing Reddit. The skill is focused on reproducible prompt snippets and classification for image generation use cases.

How this skill works

The skill fetches and stores the original Reddit entry, including the prompt snippet and post metadata (subreddit, link, and type). It extracts tags and labels related to AI and image generation, and preserves the source URL for verification. The output is a compact archival record suitable for search, browsing, or dataset assembly.

When to use it

  • You need a searchable archive of notable prompt-engineering examples from Reddit.
  • You want to study practical prompt patterns for image generation without navigating forums.
  • You are building a dataset of community-curated prompts and provenance.
  • You need quick access to original post metadata and tags for research or citation.

Best practices

  • Verify the archived source URL before reusing prompts in production.
  • Treat community prompts as starting points and adapt them to your model and task.
  • Record any changes you make to prompts alongside the archived original.
  • Respect licensing and attribution when sharing adapted prompts or datasets.

Example use cases

  • Researchers compiling a dataset of community prompt patterns for comparative studies.
  • Prompt engineers seeking concise examples of image-generation prompts to iterate on.
  • Educators assembling teaching materials that illustrate common prompt structures.
  • Tooling that surfaces community-proven prompts for users of image-generation models.

FAQ

Does this skill include the full Reddit thread or comments?

It archives the original post content, prompt snippet, tags, and metadata; full comment threads are not guaranteed.

Is the original source link preserved?

Yes, the source URL is stored so you can verify and view the original Reddit post.