# Vision Skills

Local vision CLIs: glance (describe/ask/OCR an image), ground (locate a target, pixel...

- Repository: https://github.com/Anionex/agent-vision-toolkit (1254 stars)
- Category: Media
- License: MIT
- Last updated: 2026-10-13
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add Anionex/agent-vision-toolkit --skill vision-skills -g -a claude-code -y`
Codex: `npx skills add Anionex/agent-vision-toolkit --skill vision-skills -g -a codex -y`
Cursor: `npx skills add Anionex/agent-vision-toolkit --skill vision-skills -g -a cursor -y`
Gemini CLI: `npx skills add Anionex/agent-vision-toolkit --skill vision-skills -g -a gemini-cli -y`

## Description

Local vision CLIs: glance (describe/ask/OCR an image), ground (locate a target, pixel box), detect (element inventory), trace (image to SVG geometry), crop (cut a pixel box to a file), and scripts/html_shot.py (HTML file to image). Use for any task involving an image, questions, text, splitting and transcribing long screenshots or chat histories, locating elements, comparing, rebuilding as HTML/SVG, digitizing a sketch or diagram, reading values off a chart, operating a GUI from screenshots, and to re-check an image yourself when a description you were given lacks a detail.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# vision-skills

Five local CLIs that give a text-only agent eyes. They read one shared
vision config (`VISION_API_KEY` / `VISION_BASE_URL` / `VISION_MODEL` /
`LANG`), plus the optional Python-client settings `VISION_API_PROTOCOL`,
`VISION_REASONING_EFFORT`, and `VISION_USER_AGENT`, no extra credentials.

Pick the tool by the question you are answering:

| Question | Tool |
|---|---|
| "What does this image show / say?" | `glance` |
| "Where is X?", a thing you can name | `ground` |
| "Where are all the Xs?", every instance of a kind | `detect` |
| "What is its exact shape, size, offset?" | `trace` |
| "Cut this box out as its own image file" | `crop` |
| "OCR this long screenshot / scrolling page / chat history" | `scripts/long_screenshot_ocr.py` |
| "Extract the icon/logo foreground as transparent PNG, manual region or auto (cropped+scaled screenshots)" | `scripts/extract_fg.py` |
| "Turn this HTML file into a viewport or full-page screenshot" | `scripts/html_shot.py` |
| "Which colours dominate a region, and which palette value fits it?" | `scripts/dominant_colors.py` |
| A relation none of them return, a gap, a distance between two located things | code over the pixels (Pillow) |

`glance` answers what something is; `ground` and `detect` answer where.
You give `ground` a description of a particular thing; you give `detect` a
kind and it enumerates the instances.

Both give real coordinates, but they are not pixel-exact: the box arrives
on a 0-1000 grid and is scaled to your image, so the last pixel or few are
not reliable. That is accurate enough to crop with, to click, to compare
positions against. When a number has to be exact, `trace` derives it from
the actual pixels, offsets, sizes, shapes.

## Use the provided tools before hand-rolled pixels

Everything this toolkit ships a tool for, call the tool, do not rewrite
it with Pillow in the middle of a task. The CLIs exist so the same pixel
work is not hand-coded differently every time:

The rest: https://github.com/Anionex/agent-vision-toolkit/blob/HEAD/skills/vision-skills/SKILL.md