Skills recipe-to-list

Turn recipes into a Todoist Shopping list. Extract ingredients from recipe photos (Gemini Flash vision) or recipe web pages (search + fetch), then compare against the existing Shopping project with conservative synonym/overlap rules, skip pantry staples (salt/pepper), and sum quantities when units match. Also saves each cooked recipe into the workspace cookbook (recipes/).

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/borahm/recipe-to-list" ~/.claude/skills/clawdbot-skills-recipe-to-list && rm -rf "$T"

manifest: skills/borahm/recipe-to-list/SKILL.md

source content

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.