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.
