How do I install the Menugen skill?

Run npx skillmds@latest add akegaviar/menugen in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Menugen safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Menugen?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Menugen free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Menugen?

akegaviar (@akegaviar) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Menugen by akegaviar — Agent Skill

Name: Menugen
Author: akegaviar

Menugen

Visualize a restaurant menu — read a menu photo, extract every dish, generate an AI food photo for each one. Use when the user uploads or references a menu photo, wants to see what dishes look like, or asks to visualize a restaurant menu.

akegaviar ac0ce7b 2 files · 7.8 KB Updated Sep 17, 2026

File contents

MenuGen

Menu photo in → AI food photos out.

Credentials

cloudflare_account_id: <not configured>
cloudflare_api_token: <not configured>

Before running the workflow, check the credentials above.

If both values are filled in (not <not configured>), use them and proceed to the workflow.
If not configured, this is the user's first time. Guide them through one-time setup:
1. Go to cloudflare.com and sign up (free, no credit card)
2. In the dashboard, click AI in the left sidebar → Workers AI
3. Click the { } REST API button (top-right corner)
4. Copy the Account ID shown on the page
5. Click Create a Workers AI API Token → Create API Token → copy the token (shown once)
6. Now save the credentials permanently so you never have to do this again:
  - Claude.ai: Go to Settings → Skills → menugen → click the ••• menu → Edit with Claude → tell it: "Set my Cloudflare credentials to account_id=PASTE_ID token=PASTE_TOKEN"
  - Claude Code: Say: "Set my menugen Cloudflare credentials to account_id=PASTE_ID token=PASTE_TOKEN" — it will edit the SKILL.md for you
7. Start a new chat and try again — credentials will be there automatically.

Workflow

Read the menu image with the Read tool (uses your built-in vision).
Extract every dish into a JSON array:
```
[{"name": "Pâté", "description": "Country-style pork with cornichons", "search": "rustic pork pate terrine with cornichons on a small plate"}, ...]
```
- name: exactly as printed on the menu (displayed in the output)
- description: only if the menu provides one
- search: required — a detailed English prompt describing what this dish looks like for AI image generation. Be vivid and specific about ingredients, plating, and appearance (e.g. "pan-fried sole fillet in brown butter sauce with capers and lemon on a white plate" not "Limande-Sole meunière"). Omit prices, section headers, and non-food items.

Pipe the JSON to the script, passing credentials as inline env vars:

CLOUDFLARE_ACCOUNT_ID=<id> CLOUDFLARE_API_TOKEN=<token> uv run ${CLAUDE_PLUGIN_ROOT}/scripts/generate.py <<'MENU'
[{"name": "...", "description": "...", "search": "..."}, ...]
MENU

If uv is not available, fall back to: pip install requests && python ${CLAUDE_PLUGIN_ROOT}/scripts/generate.py

The script prints the path to the generated HTML file. Open it automatically:
```
open menugen_output/menu.html
```

Output

menugen_output/menu.html — a self-contained HTML page with AI-generated food photos embedded as base64 (works anywhere — local browser, Claude.ai, email). Individual images also saved to menugen_output/images/.

Notes

AI-generated food photography via FLUX.1-schnell on Cloudflare Workers AI (free tier)
8 parallel requests; generation takes ~15-60s depending on menu size
Free — ~230 images/day at default settings (Cloudflare free tier, 10K neurons/day)

---name: menugendescription: Visualize a restaurant menu — read a menu photo, extract every dish, generate an AI food photo for each one. Use when the user uploads or references a menu photo, wants to see what dishes look like, or asks to visualize a restaurant menu.---# MenuGenMenu photo in → AI food photos out.## Credentials```cloudflare_account_id: <not configured>cloudflare_api_token: <not configured>```**Before running the workflow**, check the credentials above.- If both values are filled in (not `<not configured>`), use them and proceed to the workflow.- If not configured, this is the user's first time. Guide them through one-time setup: 1. Go to [cloudflare.com](https://cloudflare.com) and sign up (free, no credit card) 2. In the dashboard, click **AI** in the left sidebar → **Workers AI** 3. Click the **{ } REST API** button (top-right corner) 4. Copy the **Account ID** shown on the page 5. Click **Create a Workers AI API Token** → **Create API Token** → copy the token (shown once) 6. Now save the credentials permanently so you never have to do this again: - **Claude.ai**: Go to **Settings → Skills → menugen** → click the **`•••` menu** → **Edit with Claude** → tell it: "Set my Cloudflare credentials to account_id=PASTE_ID token=PASTE_TOKEN" - **Claude Code**: Say: "Set my menugen Cloudflare credentials to account_id=PASTE_ID token=PASTE_TOKEN" — it will edit the SKILL.md for you 7. Start a new chat and try again — credentials will be there automatically.## Workflow1. Read the menu image with the Read tool (uses your built-in vision).2. Extract every dish into a JSON array: ```json [{"name": "Pâté", "description": "Country-style pork with cornichons", "search": "rustic pork pate terrine with cornichons on a small plate"}, ...] ``` - `name`: exactly as printed on the menu (displayed in the output) - `description`: only if the menu provides one - `search`: **required** — a detailed English prompt describing what this dish looks like for AI image generation. Be vivid and specific about ingredients, plating, and appearance (e.g. "pan-fried sole fillet in brown butter sauce with capers and lemon on a white plate" not "Limande-Sole meunière"). Omit prices, section headers, and non-food items.3. Pipe the JSON to the script, passing credentials as inline env vars: ```bash CLOUDFLARE_ACCOUNT_ID=<id> CLOUDFLARE_API_TOKEN=<token> uv run ${CLAUDE_PLUGIN_ROOT}/scripts/generate.py <<'MENU' [{"name": "...", "description": "...", "search": "..."}, ...] MENU ``` If `uv` is not available, fall back to: `pip install requests && python ${CLAUDE_PLUGIN_ROOT}/scripts/generate.py`4. The script prints the path to the generated HTML file. Open it automatically: ```bash open menugen_output/menu.html ```## Output`menugen_output/menu.html` — a self-contained HTML page with AI-generated food photos embedded as base64 (works anywhere — local browser, Claude.ai, email). Individual images also saved to `menugen_output/images/`.## Notes- AI-generated food photography via FLUX.1-schnell on Cloudflare Workers AI (free tier)- 8 parallel requests; generation takes ~15-60s depending on menu size- Free — ~230 images/day at default settings (Cloudflare free tier, 10K neurons/day)

Frequently asked questions