Dynamic Archify
OWWZO/ai-agent
Create professional architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as standalone animated HTML files with SVG graphics, flowing animation effects, a built-in dark/light…
Describe images (charts, diagrams, tables, screenshots) using Vision AI.
Install Describe Image
$ npx skills add Wide-Moat/open-computer-use --skill describe-image -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Wide-Moat/open-computer-use describe-image --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Wide-Moat/open-computer-use.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/public/describe-image .claude/skills/describe-image && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "describe-image" agent skill from https://github.com/Wide-Moat/open-computer-use/tree/main/skills/public/describe-image into .claude/skills/describe-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "describe-image", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Wide-Moat/open-computer-use/tree/main/skills/public/describe-imageType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Wide-Moat/open-computer-use --skill describe-image -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Wide-Moat/open-computer-use describe-image --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Wide-Moat/open-computer-use.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/public/describe-image .agents/skills/describe-image && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "describe-image" agent skill from https://github.com/Wide-Moat/open-computer-use/tree/main/skills/public/describe-image into .agents/skills/describe-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "describe-image", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Wide-Moat/open-computer-use --skill describe-image -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Wide-Moat/open-computer-use describe-image --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Wide-Moat/open-computer-use.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/public/describe-image .cursor/skills/describe-image && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "describe-image" agent skill from https://github.com/Wide-Moat/open-computer-use/tree/main/skills/public/describe-image into .cursor/skills/describe-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "describe-image", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Wide-Moat/open-computer-use.git --path skills/public/describe-image--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Wide-Moat/open-computer-use --skill describe-image -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Wide-Moat/open-computer-use describe-image --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Wide-Moat/open-computer-use.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/public/describe-image .gemini/skills/describe-image && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "describe-image" agent skill from https://github.com/Wide-Moat/open-computer-use/tree/main/skills/public/describe-image into .gemini/skills/describe-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "describe-image", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Wide-Moat/open-computer-use describe-imageInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Wide-Moat/open-computer-use --skill describe-image -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Wide-Moat/open-computer-use.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/public/describe-image .github/skills/describe-image && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "describe-image" agent skill from https://github.com/Wide-Moat/open-computer-use/tree/main/skills/public/describe-image into .github/skills/describe-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "describe-image", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Wide-Moat/open-computer-use --skill describe-image -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Wide-Moat/open-computer-use describe-image --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Wide-Moat/open-computer-use.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/public/describe-image .opencode/skills/describe-image && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "describe-image" agent skill from https://github.com/Wide-Moat/open-computer-use/tree/main/skills/public/describe-image into .opencode/skills/describe-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "describe-image", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
describe-image- GitHub stars
- 126
- Token cost
- ~732 tokens
- SKILL.md length
- 147 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Describe images (charts, diagrams, tables, screenshots) using Vision AI.
- Tasks that involve Diagrams
- SKILL.md covers Quick Start, Parameters, Supported Image Types and Examples, plus 2 more sections
- Runs Python scripts from its folder; calls python; needs VISION_API_KEY
- Tasks that involve Data pipelines and ETL
What it does
Describe Image is an agent skill from Wide-Moat/open-computer-use. Describe images (charts, diagrams, tables, screenshots) using Vision AI. Use as fallback when you cannot read an image file directly. Supports batch processing of folders.
Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/describe.py`).
It sits in Data & Analytics, covering Diagrams and Data pipelines and ETL. The repository describes itself as: ARCHIVED — superseded by Wide Moat.
When your agent uses it
- Tasks that involve Diagrams
- Tasks that involve Data pipelines and ETL
Example prompts
- “/describe-image”
Requirements
- Python 3
- A credential in VISION_API_KEY
What it can do on your machine
Read from SKILL.md and the folder at commit 1ddf832. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
VISION_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Describe Image loads about 732 tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 147 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 147 words (~732 tokens).
“Analyze images using Vision AI and generate detailed text descriptions in Russian.”
- name
- describe-image
Files
SKILL.md and 1 other file (scripts) in skills/public/describe-image of Wide-Moat/open-computer-use.
- SKILL.md
- scripts/describe.py
Open the folder on GitHubat commit 1ddf832
Compare with similar skills
Describe Image next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Describe Image this skillWide-Moat/open-computer-use | 126 | — | ~732 | Automated safety check: Pass | Custom licence | |
| Dynamic ArchifyOWWZO/ai-agent | 189 | 1 repos | ~5.5k | Automated safety check: Pass | MIT | |
| Technical Diagram Skillmingchen666/Reviva | 244 | — | ~5.7k | Automated safety check: Pass | MIT | |
| Erd Studio Setupliam-machine/erd-studio | 165 | — | ~8.6k | Automated safety check: Pass | Custom licence | |
| Archifymolvqingtai/WebChat | 2.6k | — | ~5.6k | Automated safety check: Pass | MIT | |
| Diagrammerdavila7/claude-code-templates | 33k | — | ~494 | Automated safety check: Pass | MIT |
Similar skills
Technical Diagram Skill
mingchen666/Reviva
Create professional technical diagrams as standalone animated HTML files with SVG graphics, flowing effects, dark/light theme toggle, and export support.
Erd Studio Setup
liam-machine/erd-studio
Friendly, step-by-step setup for ERD Studio in an existing dbt project, for people who may be new to dbt or data modelling.
Archify
molvqingtai/WebChat
Create professional architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as standalone HTML files with SVG graphics, a built-in dark/light theme toggle, and one-click export to…
Diagrammer
davila7/claude-code-templates
Render clean blueprint-style SVG diagrams from JSON specs. An agent skill from davila7/claude-code-templates.
Archify Diagram Builder
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Builds validated architecture, workflow, sequence, data-flow and lifecycle diagrams as standalone interactive HTML from a small JSON spec, with optional motion and image export.
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Related
Questions about Describe Image
What does Describe Image do?
Describe images (charts, diagrams, tables, screenshots) using Vision AI. Describe Image is an agent skill from Wide-Moat/open-computer-use. Describe images (charts, diagrams, tables, screenshots) using Vision AI.
When should I use Describe Image?
Describe Image fits situations like: tasks that involve Diagrams; tasks that involve Data pipelines and ETL.
How do I install Describe Image in Claude Code?
Run `npx skills add Wide-Moat/open-computer-use --skill describe-image -a claude-code`. Or copy the skill folder (skills/public/describe-image in Wide-Moat/open-computer-use) into .claude/skills/describe-image in your project. Claude Code loads it when a task matches its description.
How do I install Describe Image in Codex?
Run `npx skills add Wide-Moat/open-computer-use --skill describe-image -a codex`. Or copy the skill folder (skills/public/describe-image in Wide-Moat/open-computer-use) into .agents/skills/describe-image in your project. Codex loads it when a task matches its description.
Can I use Describe Image in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Wide-Moat/open-computer-use --skill describe-image -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/describe-image, .gemini/skills/describe-image, .github/skills/describe-image and .opencode/skills/describe-image in your project.
What does Describe Image need to run?
Going by SKILL.md and its folder, Describe Image needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named VISION_API_KEY. Our summary lists: Python 3; A credential in VISION_API_KEY.
Does Describe Image access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Describe Image safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Describe Image use?
Describe Image has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Describe Image use?
About 732 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Describe Image?
Skills that share tags, products or a category with Describe Image: Dynamic Archify (OWWZO/ai-agent, 189 stars), Technical Diagram Skill (mingchen666/Reviva, 244 stars), Erd Studio Setup (liam-machine/erd-studio, 165 stars) and Archify (molvqingtai/WebChat, 2.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Describe Image?
Wide-Moat (a GitHub organization) maintains it in Wide-Moat/open-computer-use, which has 126 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 5, 2026.
Source: Wide-Moat/open-computer-use on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.