Skill

recipe-to-list

From sundial-org-awesome-openclaw-skills-4

Extracts ingredients from recipe photos using Gemini Flash vision or web pages via search/fetch, merges into Todoist Shopping list with overlap/synonym checks skipping pantry staples, sums quantities, and saves recipes to workspace cookbook.

Python

automation

cli-tools

Install

npx claudepluginhub joshuarweaver/cascade-ai-ml-agents-misc-2 --plugin sundial-org-awesome-openclaw-skills-4

Tool Access

This skill uses the workspace's default tool permissions.

Preview

Target flow:

Supporting Assets

scripts/recipe-to-list.shscripts/recipe_to_list.py

SKILL.md

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Stats

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Last CommitFeb 1, 2026

Actions

View Source View Plugin View on GitHub View README

Create Shopping List (Gemini Flash + Todoist)

Target flow:

Input is either a photo or a recipe web search
Extract ingredients (Gemini Flash for photos; web_fetch text → Gemini for websites)
Pull current Todoist Shopping list
Compare using overlap + synonym mapping (kept conservative; only merge high-confidence equivalents like coriander↔cilantro, panko↔breadcrumbs)
Update Shopping (default: add only missing items; skip salt/pepper)

Use the bundled script to handle the photo → ingredients → Shopping update part.

It also automatically saves a markdown entry into recipes/ (your cookbook knowledge base) and appends to recipes/index.md.

For recipe-name → web search, do it confirm-first using web_search + web_fetch, then feed the ingredients into the same update logic (and save the recipe).

Prereqs

Env: GEMINI_API_KEY (or GOOGLE_API_KEY) for Gemini
Env: TODOIST_API_TOKEN for Todoist
Bin: todoist (todoist-ts-cli)

Output formatting

Items are reformatted to start with the ingredient name, followed by a parenthetical quantity.
The Shopping list is kept flat (no Todoist sections/groups).

Run

python3 skills/recipe-to-list/scripts/recipe_to_list.py \
  --image /path/to/photo.jpg \
  --title "<optional title>" \
  --source "photo:/path/to/photo.jpg"

Optional flags

--model gemini-2.0-flash (default; falls back automatically) or any compatible Gemini vision model
--dry-run to print extracted items without creating tasks
--prefix "[Recipe] " to prefix each created task
--no-overlap-check to skip checking your existing Shopping list
--include-pantry to include salt/pepper
--no-save to skip saving into recipes/

What to send to the model

The script prompts Gemini to return strict JSON:

{
  "items": ["2 large globe eggplants", "kosher salt", "..."],
  "notes": "optional"
}

If parsing fails, rerun with a clearer crop (ingredients list only) or provide a manual list.