What it does

All text below is quoted directly from the project README.

>A skill for your coding assistant that stops it from burying the answer. Action first. Steps numbered. No "Hope this helps!"

The rules:

1. Lead with the next action.
2. Number multi-step tasks.
3. End with one concrete next step.
4. Suppress tangents.
5. Restate state every turn.
6. Specific time estimates (minutes, not "a bit").
7. Make wins visible.
8. Matter-of-fact errors.
9. Cap lists to 5 items.
10. No preamble. No recap. No closers.

Credits: Loosely based on The Adult ADHD Tool Kit by J. Russell Ramsay and Anthony L. Rostain. Adapted for how an LLM should respond, not how a human should organize their day.

>Install the i-have-adhd skill/plugin from https://github.com/ayghri/i-have-adhd, refer to the repo's AGENTS.md for instructions.

Repository

https://github.com/ayghri/i-have-adhd

Repository stats

Metric	Value
Stars	54,632
Forks	3,135
Last release	None
Languages	Python 85.1%, TypeScript 6.8%, JavaScript 5.9%
Contributors	50
AI contributor accounts (Claude / Codex / Cursor / Copilot)	Claude: 10, Copilot: 1
AI co-authored commits	Claude: 10, Copilot: 1

Main contributor

Field	Value
Name	Ayoub Ghriss
GitHub	@ayghri
Commits to this repo	62 (top contributor)
Bio	CLIMB research group. ML
Company / Location	University of Colorado, Boulder / Boulder, CO
Website	https://ayghri.me
X / Twitter	@AyGhriTweets
Followers	565
Public repos	79
On GitHub since	2017-09-22

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After generating thousands of images across multiple models, i realised it was becoming a pain to maintain a decent list of metadata stored in the images to be able to recreate them or re-use prompts with other models to see how the models generate images with similar prompts/seed/cfg/steps etc. I decide to build something that I can use to maintain images to make it easier to find images, copy prompts and see what metadata is embedded into the images. It's effectively an AI image manager based on how ComfyUI generates images and stores metadata.

Looking for feedback on whether this is a useful tool or if there's any feature issues that you see.

Download: Augie's AI Image Browser

Current features I've built into it:

Reading AI image info:

• Reads ComfyUI settings automatically from PNG, WebP, MP4, WebM, MOV and MKV files.
• Shows the generation details for each file: model, LoRA, sampler, scheduler, steps, CFG, seed, positive prompt, negative prompt and wildcard prompt.
• One-click copy for prompts and the full workflow.
• Raw workflow view: you can expand and copy the complete ComfyUI workflow data.
• Works with videos too, including files made with the Video Combine node.

Library and folders

• Add or remove folders for the app to scan.
• Live folder watching: new images show up on their own as ComfyUI saves them.
• Pause and resume watching from the top bar, with a status light (Watching, Indexing or Paused).
• Keeps your work when files move: if you rename or move a file, its ratings, tags and collections go with it.
• Missing file tracking: files deleted from disk are flagged, not forgotten, and you can clear them out later.
• Thumbnails for images and videos.

Viewing Images

• Built-in full-size viewer for images and videos, with zoom (mouse wheel or double-click), pan, fit-to-screen and keyboard controls.
• Open in default app: opens the file in Photos, VLC or whatever Windows uses for it (desktop app only).
• Show in folder: opens File Explorer with the file selected (desktop app only).
• Table view with sortable columns: keeper, rating, filename, model, sampler, scheduler, steps, seed and date modified.
• Paging for large libraries.

Sorting your images

• Keep or Discard with one click.
• 0–5 star ratings.
• Your own tags, with suggestions as you type.
• Collections: create, delete, add files and remove files.
• Delete from disk, with a confirmation step.

Auto-Collection Rules

• Rules that file images into collections for you based on their details.
• Rule conditions can check:
  • Folder, filename, file type, image or video, date created
  • Prompts, model, LoRAs, sampler, scheduler, steps, CFG, seed
  • Width, height, shape (portrait, landscape or square), workflow nodes
• Flexible matching: contains, equals, starts with, number ranges, "in the last N days", regex and more.
• Combine conditions with "match all" or "match any", nested up to 3 levels deep.
• Preview which files a rule would catch before saving it.
• Apply rules to images you already have, or only to new ones.
• Create a rule from an image: starts a new rule using that image's settings.
• ⚡ badge on images that a rule filed.

Clean Export - For selling and sharing

• Removes all hidden AI info and workflow data from exported files.
• Keeps transparent backgrounds for PNG and WebP, or fills them with a colour you choose for JPEG.
• Sets resolution and DPI (for example 300 DPI for print, 72 for web).
• Custom file naming using collection, number, date, original name, tag or rating. The seed and prompt can't be used in names, so they can't leak.
• Ready-made presets (Etsy PNG, Shopify WebP, Stock JPEG), and you can save your own.
• Checks every exported file afterwards to confirm nothing leaked.
• Private export log, so each exported file can be traced back to its original. Includes an export history screen.
• Download as ZIP.
• CSV or JSON export of the image details as a spreadsheet or data file.

This is a pretty big step for local 3D AI generation.

A community-optimized build of Trellis.2 now runs on 8GB GPUs, while still keeping high-detail 3D output. According to the author, an RTX 3060 can complete a generation in around 13 minutes, and there is now a single-click installer similar to the A1111-style setup.

Links from the author:

Trellis.2 optimized release:
https://github.com/IgorAherne/TRELLIS.2-stableprojectorz/releases/tag/latest

Original bug discussion:
https://www.reddit.com/r/StableDiffusion/comments/1ssx9wg/i_optimized_trellis2_to_fit_inside_8gb_gpus_even/

StableProjectorz:
https://stableprojectorz.com/

Support / donate:
https://stableprojectorz.com/thanks/