gitwtfhub

wtf is awesome-prompt?

mrslimslim/awesome-prompt — explained in plain English

Analysis updated 2026-05-18

54JavaScriptAudience · developerComplexity · 2/5Setup · moderate

TL;DR

A Node.js build script that ingests a local archive of MeiGen prompt images and video thumbnails, compresses the media, and writes JSON, CSV, and a static preview server for GitHub raw hosting.

Mindmap

mindmap
  root((awesome-prompt))
    Inputs
      MeiGen source folder
      Quality and size flags
      GitHub remote URL
    Outputs
      Compressed images
      Video thumbnails
      JSON metadata
      CSV export
    Use Cases
      Mirror a prompt archive on GitHub
      Serve prompt media via raw URLs
      Preview the gallery locally
    Tech Stack
      Node.js
      npm
      Static server
      JSON

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

Why would anyone build with this?

REASON 1

Mirror a folder of prompt images and video thumbnails into a GitHub-hosted gallery

REASON 2

Generate prompts-all.json, prompts-images.json, and prompts-videos.json metadata for downstream tools

REASON 3

Serve a static preview of the archive locally on port 4173 before publishing

REASON 4

Export the full prompt set as CSV for spreadsheet analysis

What's in the stack?

Node.jsJavaScriptnpm

How it stacks up

mrslimslim/awesome-promptahouseofbards/bonfire-jellyprofilesevaildev/noschibsgiven
Stars545454
LanguageJavaScriptJavaScriptJavaScript
Setup difficultymoderatemoderateeasy
Complexity2/53/51/5
Audiencedeveloperops devopsgeneral

Figures from each repo's GitHub metadata at analysis time.

How do you spin it up?

Difficulty · moderate Time to first run · 30min

The default source path is hard-wired to the author's Windows E drive, so you must pass a path flag before the build can find any media.

Wtf does this do

This is a small Node.js project that packages up an archive of MeiGen prompt examples, both still images and video thumbnails, together with their text prompts. The author appears to be working from a local scrape of MeiGen content sitting in a Windows folder, and the script reads from that source, compresses the media, and writes the results back into the repo so they can be served straight from GitHub. To use it, you run npm install to pull the dependencies, then npm run build:meigen to do the actual work. The default source directory is hard-wired to a path on the author's E drive, but you can pass extra flags. The README mentions --quality=76 to set the image quality target, --max=1280 to cap the image edge length, and --concurrency=8 to control how many files are processed in parallel. A --raw-base flag lets you override the base URL the script writes into the metadata, and --clean=false skips wiping the output before a rebuild, which is handy when you only want to refresh the JSON URLs after adding a GitHub remote. The output is organized into a few folders and files. There is an images directory for compressed prompt images and a video-thumbnails directory for video thumbnails. The data folder holds JSON metadata in three forms: prompts-all.json for everything with CDN image URLs, prompts-images.json for only image prompts, and prompts-videos.json for only video prompts. There is also a CSV export at prompts-all.csv and a summary.json with build and compression stats. For previewing the result locally, the README suggests npm run serve, which starts a small static server on port 4173. Once the repo has a GitHub remote attached, the script can also pick up the right raw.githubusercontent.com base URL automatically, so the metadata points at the GitHub raw URL pattern shown in the README. The README is short and is essentially a build and preview reference, not a user-facing description of MeiGen itself.

Yoink these prompts

Prompt 1
Run the awesome-prompt build with --quality=80, --max=1600, and --concurrency=4 against my own folder of prompt images
Prompt 2
Point awesome-prompt at a custom source path on Linux instead of the hard-wired Windows E drive default
Prompt 3
Use awesome-prompt's --raw-base flag to rewrite all image URLs after I add a new GitHub remote
Prompt 4
Explain the difference between prompts-all.json, prompts-images.json, and prompts-videos.json in awesome-prompt
Prompt 5
Add a --skip-videos flag to awesome-prompt so I only process still images on a low-power machine

Frequently asked questions

wtf is awesome-prompt?

A Node.js build script that ingests a local archive of MeiGen prompt images and video thumbnails, compresses the media, and writes JSON, CSV, and a static preview server for GitHub raw hosting.

What language is awesome-prompt written in?

Mainly JavaScript. The stack also includes Node.js, JavaScript, npm.

How hard is awesome-prompt to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is awesome-prompt for?

Mainly developer.

View the repo → Decode another repo

This repo across BitVibe Labs

Don't trust strangers blindly. Verify against the repo.