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mrslimslim/awesome-prompt

Analysis updated 2026-06-24

54JavaScriptAudience · developerComplexity · 2/5Setup · moderate

TLDR

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
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Code map

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What do people build with it?

USE CASE 1

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

USE CASE 2

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

USE CASE 3

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

USE CASE 4

Export the full prompt set as CSV for spreadsheet analysis

What is it built with?

Node.jsJavaScriptnpm

How does it compare?

mrslimslim/awesome-prompttj/waitgroup.jsguowang23333/kiro-pro-batch
Stars545259
LanguageJavaScriptJavaScriptJavaScript
Last pushed2016-07-22
MaintenanceDormant
Setup difficultymoderateeasyhard
Complexity2/52/54/5
Audiencedeveloperdeveloperdeveloper

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

How do you get it running?

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.

In plain English

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.

Copy-paste 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

What 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.

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