Rechercher

PythonReactSEOPDF
OpenClaw

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/).

borahm0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install borahm/recipe-to-list

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

Create Shopping List (Gemini Flash + Todoist)

Target flow:

  1. Input is either a photo or a recipe web search
  2. Extract ingredients (Gemini Flash for photos; web_fetch text → Gemini for websites)
  3. Pull current Todoist Shopping list
  4. Compare using overlap + synonym mapping (kept conservative; only merge high-confidence equivalents like coriander↔cilantro, panko↔breadcrumbs)
  5. 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 (ingredi...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/borahm/recipe-to-list
Version
—
Commit
40bee4c71cb5c795f48ee95d60ab9a3eccccc0f9
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# Create Shopping List (Gemini Flash + Todoist)

Target flow:
1) Input is either a **photo** or a **recipe web search**
2) Extract ingredients (Gemini Flash for photos; web_fetch text → Gemini for websites)
3) Pull current Todoist **Shopping** list
4) Compare using overlap + synonym mapping (kept conservative; only merge high-confidence equivalents like coriander↔cilantro, panko↔breadcrumbs)
5) 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

```bash
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**:

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

If parsing fails, rerun with a clearer crop (ingredi...

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